2021
|
Oliveira, Italo Lopes; Fileto, Renato; Speck, René; 'i, Lu; Moussallem, Diego; Lehmann, Jens Towards holistic Entity Linking: Survey and directions Journal Article Inf. Syst., 95 , pp. 101624, 2021. Links | BibTeX @article{DBLP:journals/is/OliveiraFSGML21,
title = {Towards holistic Entity Linking: Survey and directions},
author = {Italo Lopes Oliveira and
Renato Fileto and
René Speck and
Lu{'i}s Paulo F. Garcia and
Diego Moussallem and
Jens Lehmann},
url = {https://doi.org/10.1016/j.is.2020.101624},
doi = {10.1016/j.is.2020.101624},
year = {2021},
date = {2021-01-01},
journal = {Inf. Syst.},
volume = {95},
pages = {101624},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
Sejdiu, Gezim Efficient Distributed In-Memory Processing of RDF Datasets PhD Thesis Rheinische Friedrich-Wilhelms-Universität Bonn, 2020. Abstract | Links | BibTeX @phdthesis{gezim-sejdiu-2020-phd-thesis,
title = {Efficient Distributed In-Memory Processing of RDF Datasets},
author = {Gezim Sejdiu},
url = {http://hdl.handle.net/20.500.11811/8735},
year = {2020},
date = {2020-01-01},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
abstract = {Over the past decade, vast amounts of machine-readable structured information have become available through the automation of research processes as well as the increasing popularity of knowledge graphs and semantic technologies. Today, we count more than 10,000 datasets made available online following Semantic Web standards. A major and yet unsolved challenge that research faces today is to perform scalable analysis of large-scale knowledge graphs in order to facilitate applications in various domains including life sciences, publishing, and the internet of things. The main objective of this thesis is to lay foundations for efficient algorithms performing analytics, i.e. exploration, quality assessment, and querying over semantic knowledge graphs at a scale that has not been possible before. First, we propose a novel approach for statistical calculations of large RDF datasets, which scales out to clusters of machines. In particular, we describe the first distributed in-memory approach for computing 32 different statistical criteria for RDF datasets using Apache Spark. Many applications such as data integration, search, and interlinking, may take full advantage of the data when having a priori statistical information about its internal structure and coverage. However, such applications may suffer from low quality and not being able to leverage the full advantage of the data when the size of data goes beyond the capacity of the resources available. Thus, we introduce a distributed approach of quality assessment of large RDF datasets. It is the first distributed, in-memory approach for computing different quality metrics for large RDF datasets using Apache Spark. We also provide a quality assessment pattern that can be used to generate new scalable metrics that can be applied to big data. Based on the knowledge of the internal statistics of a dataset and its quality, users typically want to query and retrieve large amounts of information. As a result, it has become difficult to efficiently process these large RDF datasets. Indeed, these processes require, both efficient storage strategies and query-processing engines, to be able to scale in terms of data size. Therefore, we propose a scalable approach to evaluate SPARQL queries over distributed RDF datasets by translating SPARQL queries into Spark executable code. We conducted several empirical evaluations to assess the scalability, effectiveness, and efficiency of our proposed approaches. More importantly, various use cases i.e. Ethereum analysis, Mining Big Data Logs, and Scalable Integration of POIs, have been developed and leverages by our approach. The empirical evaluations and concrete applications provide evidence that our methodology and techniques proposed during this thesis help to effectively analyze and process large-scale RDF datasets. All the proposed approaches during this thesis are integrated into the larger SANSA framework.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
Over the past decade, vast amounts of machine-readable structured information have become available through the automation of research processes as well as the increasing popularity of knowledge graphs and semantic technologies. Today, we count more than 10,000 datasets made available online following Semantic Web standards. A major and yet unsolved challenge that research faces today is to perform scalable analysis of large-scale knowledge graphs in order to facilitate applications in various domains including life sciences, publishing, and the internet of things. The main objective of this thesis is to lay foundations for efficient algorithms performing analytics, i.e. exploration, quality assessment, and querying over semantic knowledge graphs at a scale that has not been possible before. First, we propose a novel approach for statistical calculations of large RDF datasets, which scales out to clusters of machines. In particular, we describe the first distributed in-memory approach for computing 32 different statistical criteria for RDF datasets using Apache Spark. Many applications such as data integration, search, and interlinking, may take full advantage of the data when having a priori statistical information about its internal structure and coverage. However, such applications may suffer from low quality and not being able to leverage the full advantage of the data when the size of data goes beyond the capacity of the resources available. Thus, we introduce a distributed approach of quality assessment of large RDF datasets. It is the first distributed, in-memory approach for computing different quality metrics for large RDF datasets using Apache Spark. We also provide a quality assessment pattern that can be used to generate new scalable metrics that can be applied to big data. Based on the knowledge of the internal statistics of a dataset and its quality, users typically want to query and retrieve large amounts of information. As a result, it has become difficult to efficiently process these large RDF datasets. Indeed, these processes require, both efficient storage strategies and query-processing engines, to be able to scale in terms of data size. Therefore, we propose a scalable approach to evaluate SPARQL queries over distributed RDF datasets by translating SPARQL queries into Spark executable code. We conducted several empirical evaluations to assess the scalability, effectiveness, and efficiency of our proposed approaches. More importantly, various use cases i.e. Ethereum analysis, Mining Big Data Logs, and Scalable Integration of POIs, have been developed and leverages by our approach. The empirical evaluations and concrete applications provide evidence that our methodology and techniques proposed during this thesis help to effectively analyze and process large-scale RDF datasets. All the proposed approaches during this thesis are integrated into the larger SANSA framework. |
Zafartavanaelmi, Hamid Semantic Question Answering Over Knowledge Graphs: Pitfalls and Pearls PhD Thesis University of Bonn, 2020. Abstract | BibTeX @phdthesis{ZafarThesis,
title = {Semantic Question Answering Over Knowledge Graphs: Pitfalls and Pearls},
author = {Hamid Zafartavanaelmi},
year = {2020},
date = {2020-01-01},
school = {University of Bonn},
abstract = {Nowadays, the Web provides an infrastructure to share all kinds of information which are easily accessible to humans around the world. Furthermore, the amount of information is growing rapidly and requires computing machines to process, comprehend, and extract useful information tailored for the end-users. The Semantic Web and semantic technologies play a prominent role to enable knowledge representation and reasoning for these computational processes. Semantic technologies such as ontologies and knowledge graphs are being used in various application domains, including data governance, knowledge management, chatbots, biology, etc., which aim at providing proper infrastructure to analyze the knowledge and reasoning for the computers. Semantic Question Answering systems are among the most desired platforms in recent years that facilitate access to information in knowledge graphs. They provide a natural language interface that permits the users to ask their questions posed in a natural language, without any understanding of the underlying technologies. We thus study question answering systems over knowledge graphs which aim to map an input question in natural language into a formal query, intending to retrieve a concise answer from the knowledge graph. This is a highly challenging task due to the intrinsic complexity of the natural language, such that the resulting query does not always accurately subserve the user intent, particularly, for more complex and less common questions.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
Nowadays, the Web provides an infrastructure to share all kinds of information which are easily accessible to humans around the world. Furthermore, the amount of information is growing rapidly and requires computing machines to process, comprehend, and extract useful information tailored for the end-users. The Semantic Web and semantic technologies play a prominent role to enable knowledge representation and reasoning for these computational processes. Semantic technologies such as ontologies and knowledge graphs are being used in various application domains, including data governance, knowledge management, chatbots, biology, etc., which aim at providing proper infrastructure to analyze the knowledge and reasoning for the computers. Semantic Question Answering systems are among the most desired platforms in recent years that facilitate access to information in knowledge graphs. They provide a natural language interface that permits the users to ask their questions posed in a natural language, without any understanding of the underlying technologies. We thus study question answering systems over knowledge graphs which aim to map an input question in natural language into a formal query, intending to retrieve a concise answer from the knowledge graph. This is a highly challenging task due to the intrinsic complexity of the natural language, such that the resulting query does not always accurately subserve the user intent, particularly, for more complex and less common questions. |
Höffner, Konrad Question Answering on RDF Data Cubes PhD Thesis University of Leipzig, 2020. Abstract | Links | BibTeX @phdthesis{HoeffnerThesis,
title = {Question Answering on RDF Data Cubes},
author = {Konrad Höffner},
url = {https://svn.aksw.org/papers/2016/Thesis_Konrad/public.pdf},
year = {2020},
date = {2020-01-01},
school = {University of Leipzig},
abstract = {The Semantic Web, a Web of Data, is an extension of the World Wide Web (WWW), a Web of Documents. A large amount of such data is freely available as Linked Open Data (LOD) for many areas of knowledge, forming the LOD Cloud. While this data conforms to the Resource Description Framework (RDF) and can thus be processed by machines, users need to master a formal query language and learn a specific vocabulary. Semantic Question Answering (SQA) systems remove those access barriers by letting the user ask natural language questions that the systems translate into formal queries. Thus, the research area of SQA plays an important role for the acceptance and benefit of the Semantic Web. The original contributions of this thesis to SQA are: First, we survey the current state of the art of SQA. We complement existing surveys by systematically identifying SQA publications in the chosen timeframe. 72 publications describing 62 different systems are systematically and manually selected using predefined inclusion and exclusion criteria out of 1960 candidates from the end of 2010 to July 2015. The survey identifies common challenges, structured solutions, and recommendations on research opportunities for future systems. From that point on, we focus on multidimensional numerical data, which is immensely valuable as it influences decisions in health care, policy and finance, among others. With the growth of the open data movement, more and more of it is becoming freely available. A large amount of such data is included in the LOD cloud using the RDF Data Cube (RDC) vocabulary. However, consuming multidimensional numerical data requires experts and specialized tools. Traditional SQA systems cannot process RDCs because their meta-structure is opaque to applications that expect facts to be encoded in single triples, This motivates our second contribution, the design and implementation of the first SQA algorithm on RDF Data Cubes. We kick-start this new research subfield by creating a user question corpus and a benchmark over multiple data sets. The evaluation of our system on the benchmark, which is included in the public Question Answering over Linked Data (QALD) challenge of 2016, shows the feasibility of the approach, but also highlights challenges, which we discuss in detail as a starting point for future work in the field. The benchmark is based on our final contribution, the addition of 955 financial government spending data sets to the LOD cloud by transforming data sets of the OpenSpending project to RDF Data Cubes. Open spending data has the power to reduce corruption by increasing accountability and strengthens democracy because voters can make better informed decisions. An informed and trusting public also strengthens the government itself because it is more likely to commit to large projects. OpenSpending.org is an open platform that provides public finance data from governments around the world. The transformation result, called Linked Spending, consists of more than five million planned and carried out financial transactions in 955 data sets from all over the world as Linked Open Data and is freely available and openly licensed.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
The Semantic Web, a Web of Data, is an extension of the World Wide Web (WWW), a Web of Documents. A large amount of such data is freely available as Linked Open Data (LOD) for many areas of knowledge, forming the LOD Cloud. While this data conforms to the Resource Description Framework (RDF) and can thus be processed by machines, users need to master a formal query language and learn a specific vocabulary. Semantic Question Answering (SQA) systems remove those access barriers by letting the user ask natural language questions that the systems translate into formal queries. Thus, the research area of SQA plays an important role for the acceptance and benefit of the Semantic Web. The original contributions of this thesis to SQA are: First, we survey the current state of the art of SQA. We complement existing surveys by systematically identifying SQA publications in the chosen timeframe. 72 publications describing 62 different systems are systematically and manually selected using predefined inclusion and exclusion criteria out of 1960 candidates from the end of 2010 to July 2015. The survey identifies common challenges, structured solutions, and recommendations on research opportunities for future systems. From that point on, we focus on multidimensional numerical data, which is immensely valuable as it influences decisions in health care, policy and finance, among others. With the growth of the open data movement, more and more of it is becoming freely available. A large amount of such data is included in the LOD cloud using the RDF Data Cube (RDC) vocabulary. However, consuming multidimensional numerical data requires experts and specialized tools. Traditional SQA systems cannot process RDCs because their meta-structure is opaque to applications that expect facts to be encoded in single triples, This motivates our second contribution, the design and implementation of the first SQA algorithm on RDF Data Cubes. We kick-start this new research subfield by creating a user question corpus and a benchmark over multiple data sets. The evaluation of our system on the benchmark, which is included in the public Question Answering over Linked Data (QALD) challenge of 2016, shows the feasibility of the approach, but also highlights challenges, which we discuss in detail as a starting point for future work in the field. The benchmark is based on our final contribution, the addition of 955 financial government spending data sets to the LOD cloud by transforming data sets of the OpenSpending project to RDF Data Cubes. Open spending data has the power to reduce corruption by increasing accountability and strengthens democracy because voters can make better informed decisions. An informed and trusting public also strengthens the government itself because it is more likely to commit to large projects. OpenSpending.org is an open platform that provides public finance data from governments around the world. The transformation result, called Linked Spending, consists of more than five million planned and carried out financial transactions in 955 data sets from all over the world as Linked Open Data and is freely available and openly licensed. |
Fathalla, Said; Auer, Sören; Lange, Christoph Towards the semantic formalization of science Inproceedings SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online
event, [Brno, Czech Republic], March 30 - April 3, 2020, pp. 2057–2059, ACM, 2020. Links | BibTeX @inproceedings{DBLP:conf/sac/FathallaA020,
title = {Towards the semantic formalization of science},
author = {Said Fathalla and
Sören Auer and
Christoph Lange},
url = {https://doi.org/10.1145/3341105.3374132},
doi = {10.1145/3341105.3374132},
year = {2020},
date = {2020-01-01},
booktitle = {SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online
event, [Brno, Czech Republic], March 30 - April 3, 2020},
pages = {2057--2059},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Jabeen, Hajira; Haziiev, Eskender; Sejdiu, Gezim; Lehmann, Jens DISE: A Distributed in-Memory SPARQL Processing Engine over Tensor Data Inproceedings IEEE 14th International Conference on Semantic Computing, ICSC
2020, San Diego, CA, USA, February 3-5, 2020, pp. 400–407, IEEE, 2020. Links | BibTeX @inproceedings{DBLP:conf/semco/JabeenHS020,
title = {DISE: A Distributed in-Memory SPARQL Processing Engine over Tensor Data},
author = {Hajira Jabeen and
Eskender Haziiev and
Gezim Sejdiu and
Jens Lehmann},
url = {https://doi.org/10.1109/ICSC.2020.00079},
doi = {10.1109/ICSC.2020.00079},
year = {2020},
date = {2020-01-01},
booktitle = {IEEE 14th International Conference on Semantic Computing, ICSC
2020, San Diego, CA, USA, February 3-5, 2020},
pages = {400--407},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Khiat, Abderrahmane; Halilaj, Lavdim; Hemid, Ahmad; Lohmann, Steffen VoColReg: A Registry for Supporting Distributed Ontology Development
using Version Control Systems Inproceedings IEEE 14th International Conference on Semantic Computing, ICSC
2020, San Diego, CA, USA, February 3-5, 2020, pp. 393–399, IEEE, 2020. Links | BibTeX @inproceedings{DBLP:conf/semco/KhiatHHL20,
title = {VoColReg: A Registry for Supporting Distributed Ontology Development
using Version Control Systems},
author = {Abderrahmane Khiat and
Lavdim Halilaj and
Ahmad Hemid and
Steffen Lohmann},
url = {https://doi.org/10.1109/ICSC.2020.00078},
doi = {10.1109/ICSC.2020.00078},
year = {2020},
date = {2020-01-01},
booktitle = {IEEE 14th International Conference on Semantic Computing, ICSC
2020, San Diego, CA, USA, February 3-5, 2020},
pages = {393--399},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Thakkar, Harsh; Angles, Renzo; Rodriguez, Marko; Mallette, Stephen; Lehmann, Jens Let's build Bridges, not Walls: SPARQL Querying of TinkerPop Graph Databases with Sparql-Gremlin Inproceedings IEEE 14th International Conference on Semantic Computing, ICSC
2020, San Diego, CA, USA, February 3-5, 2020, pp. 408–415, IEEE, 2020. Links | BibTeX @inproceedings{DBLP:conf/semco/ThakkarARM020,
title = {Let's build Bridges, not Walls: SPARQL Querying of TinkerPop Graph Databases with Sparql-Gremlin},
author = {Harsh Thakkar and
Renzo Angles and
Marko Rodriguez and
Stephen Mallette and
Jens Lehmann},
url = {https://doi.org/10.1109/ICSC.2020.00080},
doi = {10.1109/ICSC.2020.00080},
year = {2020},
date = {2020-01-01},
booktitle = {IEEE 14th International Conference on Semantic Computing, ICSC
2020, San Diego, CA, USA, February 3-5, 2020},
pages = {408--415},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Grubenmann, Tobias; Cheng, Reynold C K; Lakshmanan, Laks V S TSA: A Truthful Mechanism for Social Advertising Inproceedings WSDM '20: The Thirteenth ACM International Conference on Web Search
and Data Mining, Houston, TX, USA, February 3-7, 2020, pp. 214–222, ACM, 2020. Links | BibTeX @inproceedings{DBLP:conf/wsdm/GrubenmannCL20,
title = {TSA: A Truthful Mechanism for Social Advertising},
author = {Tobias Grubenmann and
Reynold C. K. Cheng and
Laks V. S. Lakshmanan},
url = {https://doi.org/10.1145/3336191.3371809},
doi = {10.1145/3336191.3371809},
year = {2020},
date = {2020-01-01},
booktitle = {WSDM '20: The Thirteenth ACM International Conference on Web Search
and Data Mining, Houston, TX, USA, February 3-7, 2020},
pages = {214--222},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Musyaffa, Fathoni A; Vidal, Maria-Esther; Orlandi, Fabrizio; Lehmann, Jens; Jabeen, Hajira IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA Journal Article Expert Syst. Appl., 147 , pp. 113135, 2020. Links | BibTeX @article{DBLP:journals/eswa/MusyaffaVOLJ20,
title = {IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA},
author = {Fathoni A. Musyaffa and
Maria-Esther Vidal and
Fabrizio Orlandi and
Jens Lehmann and
Hajira Jabeen},
url = {https://doi.org/10.1016/j.eswa.2019.113135},
doi = {10.1016/j.eswa.2019.113135},
year = {2020},
date = {2020-01-01},
journal = {Expert Syst. Appl.},
volume = {147},
pages = {113135},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Fathalla, Said; Vahdati, Sahar; Lange, Christoph; Auer, Sören Scholarly event characteristics in four fields of science: a metrics-based
analysis Journal Article Scientometrics, 123 (2), pp. 677–705, 2020. Links | BibTeX @article{DBLP:journals/scientometrics/FathallaVLA20,
title = {Scholarly event characteristics in four fields of science: a metrics-based
analysis},
author = {Said Fathalla and
Sahar Vahdati and
Christoph Lange and
Sören Auer},
url = {https://doi.org/10.1007/s11192-020-03391-y},
doi = {10.1007/s11192-020-03391-y},
year = {2020},
date = {2020-01-01},
journal = {Scientometrics},
volume = {123},
number = {2},
pages = {677--705},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Bader, Sebastian R; Grangel-González, Irlán; Nanjappa, Priyanka; Vidal, Maria-Esther; Maleshkova, Maria A Knowledge Graph for Industry 4.0 Inproceedings The Semantic Web - 17th International Conference, ESWC 2020, Heraklion,
Crete, Greece, May 31-June 4, 2020, Proceedings, pp. 465–480, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/esws/BaderGNVM20,
title = {A Knowledge Graph for Industry 4.0},
author = {Sebastian R. Bader and
Irlán Grangel-González and
Priyanka Nanjappa and
Maria-Esther Vidal and
Maria Maleshkova},
url = {https://doi.org/10.1007/978-3-030-49461-2_27},
doi = {10.1007/978-3-030-49461-2_27},
year = {2020},
date = {2020-01-01},
booktitle = {The Semantic Web - 17th International Conference, ESWC 2020, Heraklion,
Crete, Greece, May 31-June 4, 2020, Proceedings},
volume = {12123},
pages = {465--480},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Kacupaj, Endri; Zafar, Hamid; Lehmann, Jens; Maleshkova, Maria VQuAnDa: Verbalization QUestion ANswering DAtaset Inproceedings The Semantic Web - 17th International Conference, ESWC 2020, Heraklion,
Crete, Greece, May 31-June 4, 2020, Proceedings, pp. 531–547, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/esws/KacupajZ0M20,
title = {VQuAnDa: Verbalization QUestion ANswering DAtaset},
author = {Endri Kacupaj and
Hamid Zafar and
Jens Lehmann and
Maria Maleshkova},
url = {https://doi.org/10.1007/978-3-030-49461-2_31},
doi = {10.1007/978-3-030-49461-2_31},
year = {2020},
date = {2020-01-01},
booktitle = {The Semantic Web - 17th International Conference, ESWC 2020, Heraklion,
Crete, Greece, May 31-June 4, 2020, Proceedings},
volume = {12123},
pages = {531--547},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Nayyeri, Mojtaba; Vahdati, Sahar; Zhou, Xiaotian; Yazdi, Hamed Shariat; Lehmann, Jens Embedding-Based Recommendations on Scholarly Knowledge Graphs Inproceedings The Semantic Web - 17th International Conference, ESWC 2020, Heraklion,
Crete, Greece, May 31-June 4, 2020, Proceedings, pp. 255–270, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/esws/NayyeriVZY020,
title = {Embedding-Based Recommendations on Scholarly Knowledge Graphs},
author = {Mojtaba Nayyeri and
Sahar Vahdati and
Xiaotian Zhou and
Hamed Shariat Yazdi and
Jens Lehmann},
url = {https://doi.org/10.1007/978-3-030-49461-2_15},
doi = {10.1007/978-3-030-49461-2_15},
year = {2020},
date = {2020-01-01},
booktitle = {The Semantic Web - 17th International Conference, ESWC 2020, Heraklion,
Crete, Greece, May 31-June 4, 2020, Proceedings},
volume = {12123},
pages = {255--270},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Nedelchev, Rostislav; Usbeck, Ricardo; Lehmann, Jens Treating Dialogue Quality Evaluation as an Anomaly Detection Problem Inproceedings Proceedings of The 12th Language Resources and Evaluation Conference,
LREC 2020, Marseille, France, May 11-16, 2020, pp. 508–512, European Language Resources Association, 2020. Links | BibTeX @inproceedings{DBLP:conf/lrec/NedelchevUL20,
title = {Treating Dialogue Quality Evaluation as an Anomaly Detection Problem},
author = {Rostislav Nedelchev and
Ricardo Usbeck and
Jens Lehmann},
url = {https://www.aclweb.org/anthology/2020.lrec-1.64/},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference,
LREC 2020, Marseille, France, May 11-16, 2020},
pages = {508--512},
publisher = {European Language Resources Association},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rula, Anisa; Zaveri, Amrapali; Simperl, Elena; Demidova, Elena Editorial: Special Issue on Quality Assessment of Knowledge Graphs Dedicated to the Memory of Amrapali Zaveri Journal Article J. Data and Information Quality, 12 (2), pp. 7:1–7:4, 2020. Links | BibTeX @article{DBLP:journals/jdiq/RulaZSD20,
title = {Editorial: Special Issue on Quality Assessment of Knowledge Graphs Dedicated to the Memory of Amrapali Zaveri},
author = {Anisa Rula and
Amrapali Zaveri and
Elena Simperl and
Elena Demidova},
url = {https://doi.org/10.1145/3388748},
doi = {10.1145/3388748},
year = {2020},
date = {2020-01-01},
journal = {J. Data and Information Quality},
volume = {12},
number = {2},
pages = {7:1--7:4},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Angles, Renzo; Thakkar, Harsh; Tomaszuk, Dominik Mapping RDF Databases to Property Graph Databases Journal Article IEEE Access, 8 , pp. 86091–86110, 2020. Links | BibTeX @article{DBLP:journals/access/AnglesTT20,
title = {Mapping RDF Databases to Property Graph Databases},
author = {Renzo Angles and
Harsh Thakkar and
Dominik Tomaszuk},
url = {https://doi.org/10.1109/ACCESS.2020.2993117},
doi = {10.1109/ACCESS.2020.2993117},
year = {2020},
date = {2020-01-01},
journal = {IEEE Access},
volume = {8},
pages = {86091--86110},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Han, Xiaolin; Grubenmann, Tobias; Cheng, Reynold; Wong, Sze Chun; Li, Xiaodong; Sun, Wenya Traffic Incident Detection: A Trajectory-based Approach Inproceedings 36th IEEE International Conference on Data Engineering, ICDE 2020,
Dallas, TX, USA, April 20-24, 2020, pp. 1866–1869, IEEE, 2020. Links | BibTeX @inproceedings{DBLP:conf/icde/HanGCWLS20,
title = {Traffic Incident Detection: A Trajectory-based Approach},
author = {Xiaolin Han and
Tobias Grubenmann and
Reynold Cheng and
Sze Chun Wong and
Xiaodong Li and
Wenya Sun},
url = {https://doi.org/10.1109/ICDE48307.2020.00190},
doi = {10.1109/ICDE48307.2020.00190},
year = {2020},
date = {2020-01-01},
booktitle = {36th IEEE International Conference on Data Engineering, ICDE 2020,
Dallas, TX, USA, April 20-24, 2020},
pages = {1866--1869},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Jahn, Franziska; Bindel, Michelle; Höffner, Konrad; Ghalandari, Maryam; Schneider, Birgit; Stäubert, Sebastian; Dornauer, Verena; Karopka, Thomas; Ammenwerth, Elske; Winter, Alfred Towards Precise Descriptions of Medical Free/Libre and Open Source
Software Inproceedings Digital Personalized Health and Medicine - Proceedings of MIE 2020,
Medical Informatics Europe, Geneva, Switzerland, April 28 - May 1,
2020 [conference cancelled because of Covid-19], pp. 463–468, IOS Press, 2020. Links | BibTeX @inproceedings{DBLP:conf/mie/JahnBHGSSDKAW20,
title = {Towards Precise Descriptions of Medical Free/Libre and Open Source
Software},
author = {Franziska Jahn and
Michelle Bindel and
Konrad Höffner and
Maryam Ghalandari and
Birgit Schneider and
Sebastian Stäubert and
Verena Dornauer and
Thomas Karopka and
Elske Ammenwerth and
Alfred Winter},
url = {https://doi.org/10.3233/SHTI200203},
doi = {10.3233/SHTI200203},
year = {2020},
date = {2020-01-01},
booktitle = {Digital Personalized Health and Medicine - Proceedings of MIE 2020,
Medical Informatics Europe, Geneva, Switzerland, April 28 - May 1,
2020 [conference cancelled because of Covid-19]},
volume = {270},
pages = {463--468},
publisher = {IOS Press},
series = {Studies in Health Technology and Informatics},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Elahi, Mehdi; Hosseini, Reza; Rimaz, Mohammad Hossein; Moghaddam, Farshad Bakhshandegan; Trattner, Christoph Visually-Aware Video Recommendation in the Cold Start Inproceedings HT '20: 31st ACM Conference on Hypertext and Social Media, Virtual
Event, USA, July 13-15, 2020, pp. 225–229, ACM, 2020. Links | BibTeX @inproceedings{DBLP:conf/ht/ElahiHRMT20,
title = {Visually-Aware Video Recommendation in the Cold Start},
author = {Mehdi Elahi and
Reza Hosseini and
Mohammad Hossein Rimaz and
Farshad Bakhshandegan Moghaddam and
Christoph Trattner},
url = {https://doi.org/10.1145/3372923.3404778},
doi = {10.1145/3372923.3404778},
year = {2020},
date = {2020-01-01},
booktitle = {HT '20: 31st ACM Conference on Hypertext and Social Media, Virtual
Event, USA, July 13-15, 2020},
pages = {225--229},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Elias, Mirette; Ruckhaus, Edna; Draffan, E A; James, Abi; Suárez-Figueroa, Mari Carmen; Lohmann, Steffen; Khiat, Abderrahmane; Auer, Sören Accessibility and Personalization in OpenCourseWare : An Inclusive Development Approach Inproceedings 20th IEEE International Conference on Advanced Learning Technologies,
ICALT 2020, Tartu, Estonia, July 6-9, 2020, pp. 279–283, IEEE, 2020. Links | BibTeX @inproceedings{DBLP:conf/icalt/EliasRDJSLKA20,
title = {Accessibility and Personalization in OpenCourseWare : An Inclusive Development Approach},
author = {Mirette Elias and
Edna Ruckhaus and
E. A. Draffan and
Abi James and
Mari Carmen Suárez-Figueroa and
Steffen Lohmann and
Abderrahmane Khiat and
Sören Auer},
url = {https://doi.org/10.1109/ICALT49669.2020.00091},
doi = {10.1109/ICALT49669.2020.00091},
year = {2020},
date = {2020-01-01},
booktitle = {20th IEEE International Conference on Advanced Learning Technologies,
ICALT 2020, Tartu, Estonia, July 6-9, 2020},
pages = {279--283},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Reimann, Lars; Kniesel-Wünsche, Günter Achieving Guidance in Applied Machine Learning through Software Engineering Techniques Inproceedings Programming'20: 4th International Conference on the Art, Science,
and Engineering of Programming, Porto, Portugal, March 23-26, 2020, pp. 7–12, ACM, 2020. Links | BibTeX @inproceedings{DBLP:conf/programming/ReimannK20,
title = {Achieving Guidance in Applied Machine Learning through Software Engineering Techniques},
author = {Lars Reimann and
Günter Kniesel-Wünsche},
url = {https://doi.org/10.1145/3397537.3397552},
doi = {10.1145/3397537.3397552},
year = {2020},
date = {2020-01-01},
booktitle = {Programming'20: 4th International Conference on the Art, Science,
and Engineering of Programming, Porto, Portugal, March 23-26, 2020},
pages = {7--12},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Tomaszuk, Dominik; Angles, Renzo; Thakkar, Harsh PGO: Describing Property Graphs in RDF Journal Article IEEE Access, 8 , pp. 118355–118369, 2020. Links | BibTeX @article{DBLP:journals/access/TomaszukAT20,
title = {PGO: Describing Property Graphs in RDF},
author = {Dominik Tomaszuk and
Renzo Angles and
Harsh Thakkar},
url = {https://doi.org/10.1109/ACCESS.2020.3002018},
doi = {10.1109/ACCESS.2020.3002018},
year = {2020},
date = {2020-01-01},
journal = {IEEE Access},
volume = {8},
pages = {118355--118369},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Ali, Mehdi; Berrendorf, Max; Hoyt, Charles Tapley; Vermue, Laurent; Galkin, Mikhail; Sharifzadeh, Sahand; Fischer, Asja; Tresp, Volker; Lehmann, Jens Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework Miscellaneous 2020. Links | BibTeX @misc{DBLP:journals/corr/abs-2006-13365,
title = {Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework},
author = {Mehdi Ali and
Max Berrendorf and
Charles Tapley Hoyt and
Laurent Vermue and
Mikhail Galkin and
Sahand Sharifzadeh and
Asja Fischer and
Volker Tresp and
Jens Lehmann},
url = {https://arxiv.org/abs/2006.13365},
year = {2020},
date = {2020-01-01},
journal = {CoRR},
volume = {abs/2006.13365},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
Bader, Sebastian R; Maleshkova, Maria SOLIOT - Decentralized Data Control and Interactions for IoT Journal Article Future Internet, 12 (6), pp. 105, 2020. Links | BibTeX @article{DBLP:journals/fi/BaderM20,
title = {SOLIOT - Decentralized Data Control and Interactions for IoT},
author = {Sebastian R. Bader and
Maria Maleshkova},
url = {https://doi.org/10.3390/fi12060105},
doi = {10.3390/fi12060105},
year = {2020},
date = {2020-01-01},
journal = {Future Internet},
volume = {12},
number = {6},
pages = {105},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Jabeen, Hajira Big Data Outlook, Tools, and Architectures Incollection Knowledge Graphs and Big Data Processing, 12072 , pp. 35–55, Springer, 2020. Links | BibTeX @incollection{DBLP:series/lncs/Jabeen20,
title = {Big Data Outlook, Tools, and Architectures},
author = {Hajira Jabeen},
url = {https://doi.org/10.1007/978-3-030-53199-7_3},
doi = {10.1007/978-3-030-53199-7_3},
year = {2020},
date = {2020-01-01},
booktitle = {Knowledge Graphs and Big Data Processing},
volume = {12072},
pages = {35--55},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
Jabeen, Hajira; Graux, Damien; Sejdiu, Gezim Scalable Knowledge Graph Processing Using SANSA Incollection Knowledge Graphs and Big Data Processing, 12072 , pp. 105–121, Springer, 2020. Links | BibTeX @incollection{DBLP:series/lncs/JabeenGS20,
title = {Scalable Knowledge Graph Processing Using SANSA},
author = {Hajira Jabeen and
Damien Graux and
Gezim Sejdiu},
url = {https://doi.org/10.1007/978-3-030-53199-7_7},
doi = {10.1007/978-3-030-53199-7_7},
year = {2020},
date = {2020-01-01},
booktitle = {Knowledge Graphs and Big Data Processing},
volume = {12072},
pages = {105--121},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
Tasnim, Mayesha; Collarana, Diego; Graux, Damien; Vidal, Maria-Esther Context-Based Entity Matching for Big Data Incollection Knowledge Graphs and Big Data Processing, 12072 , pp. 122–146, Springer, 2020. Links | BibTeX @incollection{DBLP:series/lncs/TasnimCGV20,
title = {Context-Based Entity Matching for Big Data},
author = {Mayesha Tasnim and
Diego Collarana and
Damien Graux and
Maria-Esther Vidal},
url = {https://doi.org/10.1007/978-3-030-53199-7_8},
doi = {10.1007/978-3-030-53199-7_8},
year = {2020},
date = {2020-01-01},
booktitle = {Knowledge Graphs and Big Data Processing},
volume = {12072},
pages = {122--146},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
Jabeen, Hajira; Weinz, Jonas; Lehmann, Jens AutoChef: Automated Generation of Cooking Recipes Inproceedings IEEE Congress on Evolutionary Computation, CEC 2020, Glasgow,
United Kingdom, July 19-24, 2020, pp. 1–7, IEEE, 2020. Links | BibTeX @inproceedings{DBLP:conf/cec/JabeenWL20,
title = {AutoChef: Automated Generation of Cooking Recipes},
author = {Hajira Jabeen and
Jonas Weinz and
Jens Lehmann},
url = {https://doi.org/10.1109/CEC48606.2020.9185605},
doi = {10.1109/CEC48606.2020.9185605},
year = {2020},
date = {2020-01-01},
booktitle = {IEEE Congress on Evolutionary Computation, CEC 2020, Glasgow,
United Kingdom, July 19-24, 2020},
pages = {1--7},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Elias, Mirette; Oelen, Allard; Tavakoli, MohammadReza; Kismihók, Gábor; Auer, Sören Quality Evaluation of Open Educational Resources Inproceedings Addressing Global Challenges and Quality Education - 15th European
Conference on Technology Enhanced Learning, EC-TEL 2020, Heidelberg,
Germany, September 14-18, 2020, Proceedings, pp. 410–415, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/ectel/EliasOTKA20,
title = {Quality Evaluation of Open Educational Resources},
author = {Mirette Elias and
Allard Oelen and
MohammadReza Tavakoli and
Gábor Kismihók and
Sören Auer},
url = {https://doi.org/10.1007/978-3-030-57717-9_36},
doi = {10.1007/978-3-030-57717-9_36},
year = {2020},
date = {2020-01-01},
booktitle = {Addressing Global Challenges and Quality Education - 15th European
Conference on Technology Enhanced Learning, EC-TEL 2020, Heidelberg,
Germany, September 14-18, 2020, Proceedings},
volume = {12315},
pages = {410--415},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Say, Zeynep; Fathalla, Said; Vahdati, Sahar; Lehmann, Jens; Auer, Sören Ontology Design for Pharmaceutical Research Outcomes Inproceedings Digital Libraries for Open Knowledge - 24th International Conference
on Theory and Practice of Digital Libraries, TPDL 2020, Lyon, France,
August 25-27, 2020, Proceedings, pp. 119–132, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/ercimdl/SayFV0A20,
title = {Ontology Design for Pharmaceutical Research Outcomes},
author = {Zeynep Say and
Said Fathalla and
Sahar Vahdati and
Jens Lehmann and
Sören Auer},
url = {https://doi.org/10.1007/978-3-030-54956-5_9},
doi = {10.1007/978-3-030-54956-5_9},
year = {2020},
date = {2020-01-01},
booktitle = {Digital Libraries for Open Knowledge - 24th International Conference
on Theory and Practice of Digital Libraries, TPDL 2020, Lyon, France,
August 25-27, 2020, Proceedings},
volume = {12246},
pages = {119--132},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cremaschi, Marco; Paoli, Flavio De; Rula, Anisa; Spahiu, Blerina A fully automated approach to a complete Semantic Table Interpretation Journal Article Future Gener. Comput. Syst., 112 , pp. 478–500, 2020. Links | BibTeX @article{DBLP:journals/fgcs/CremaschiPRS20,
title = {A fully automated approach to a complete Semantic Table Interpretation},
author = {Marco Cremaschi and
Flavio De Paoli and
Anisa Rula and
Blerina Spahiu},
url = {https://doi.org/10.1016/j.future.2020.05.019},
doi = {10.1016/j.future.2020.05.019},
year = {2020},
date = {2020-01-01},
journal = {Future Gener. Comput. Syst.},
volume = {112},
pages = {478--500},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Sibarani, Elisa Margareth; Scerri, Simon SCODIS: Job Advert-Derived Time Series for High-Demand Skillset Discovery and Prediction Inproceedings Database and Expert Systems Applications - 31st International Conference,
DEXA 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings,
Part II, pp. 366–381, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/dexa/SibaraniS20,
title = {SCODIS: Job Advert-Derived Time Series for High-Demand Skillset Discovery and Prediction},
author = {Elisa Margareth Sibarani and
Simon Scerri},
url = {https://doi.org/10.1007/978-3-030-59051-2_25},
doi = {10.1007/978-3-030-59051-2_25},
year = {2020},
date = {2020-01-01},
booktitle = {Database and Expert Systems Applications - 31st International Conference,
DEXA 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings,
Part II},
volume = {12392},
pages = {366--381},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Sadeghi, Afshin; Graux, Damien; Yazdi, Hamed Shariat; Lehmann, Jens MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs Inproceedings ECAI 2020 - 24th European Conference on Artificial Intelligence,
29 August-8 September 2020, Santiago de Compostela, Spain, August
29 - September 8, 2020 - Including 10th Conference on Prestigious
Applications of Artificial Intelligence (PAIS 2020), pp. 1427–1434, IOS Press, 2020. Links | BibTeX @inproceedings{DBLP:conf/ecai/SadeghiGY020,
title = {MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs},
author = {Afshin Sadeghi and
Damien Graux and
Hamed Shariat Yazdi and
Jens Lehmann},
url = {https://doi.org/10.3233/FAIA200248},
doi = {10.3233/FAIA200248},
year = {2020},
date = {2020-01-01},
booktitle = {ECAI 2020 - 24th European Conference on Artificial Intelligence,
29 August-8 September 2020, Santiago de Compostela, Spain, August
29 - September 8, 2020 - Including 10th Conference on Prestigious
Applications of Artificial Intelligence (PAIS 2020)},
volume = {325},
pages = {1427--1434},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Zafar, Hamid; Tavakol, Maryam; Lehmann, Jens Distantly Supervised Question Parsing Inproceedings ECAI 2020 - 24th European Conference on Artificial Intelligence,
29 August-8 September 2020, Santiago de Compostela, Spain, August
29 - September 8, 2020 - Including 10th Conference on Prestigious
Applications of Artificial Intelligence (PAIS 2020), pp. 2290–2297, IOS Press, 2020. Links | BibTeX @inproceedings{DBLP:conf/ecai/ZafarT020,
title = {Distantly Supervised Question Parsing},
author = {Hamid Zafar and
Maryam Tavakol and
Jens Lehmann},
url = {https://doi.org/10.3233/FAIA200357},
doi = {10.3233/FAIA200357},
year = {2020},
date = {2020-01-01},
booktitle = {ECAI 2020 - 24th European Conference on Artificial Intelligence,
29 August-8 September 2020, Santiago de Compostela, Spain, August
29 - September 8, 2020 - Including 10th Conference on Prestigious
Applications of Artificial Intelligence (PAIS 2020)},
volume = {325},
pages = {2290--2297},
publisher = {IOS Press},
series = {Frontiers in Artificial Intelligence and Applications},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Nejad, Najmeh Mousavi; Jabat, Pablo; Nedelchev, Rostislav; Scerri, Simon; Graux, Damien Establishing a Strong Baseline for Privacy Policy Classification Inproceedings ICT Systems Security and Privacy Protection - 35th IFIP TC 11
International Conference, SEC 2020, Maribor, Slovenia, September
21-23, 2020, Proceedings, pp. 370–383, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/sec/NejadJNSG20,
title = {Establishing a Strong Baseline for Privacy Policy Classification},
author = {Najmeh Mousavi Nejad and
Pablo Jabat and
Rostislav Nedelchev and
Simon Scerri and
Damien Graux},
url = {https://doi.org/10.1007/978-3-030-58201-2_25},
doi = {10.1007/978-3-030-58201-2_25},
year = {2020},
date = {2020-01-01},
booktitle = {ICT Systems Security and Privacy Protection - 35th IFIP TC 11
International Conference, SEC 2020, Maribor, Slovenia, September
21-23, 2020, Proceedings},
volume = {580},
pages = {370--383},
publisher = {Springer},
series = {IFIP Advances in Information and Communication Technology},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Elias, Mirette; Tavakoli, MohammadReza; Lohmann, Steffen; Kismihók, Gábor; Auer, Sören An OER Recommender System Supporting Accessibility Requirements Inproceedings ASSETS '20: The 22nd International ACM SIGACCESS Conference
on Computers and Accessibility, Virtual Event, Greece, October 26-28,
2020, pp. 57:1–57:4, ACM, 2020. Links | BibTeX @inproceedings{DBLP:conf/assets/EliasTLKA20,
title = {An OER Recommender System Supporting Accessibility Requirements},
author = {Mirette Elias and
MohammadReza Tavakoli and
Steffen Lohmann and
Gábor Kismihók and
Sören Auer},
url = {https://doi.org/10.1145/3373625.3418021},
doi = {10.1145/3373625.3418021},
year = {2020},
date = {2020-01-01},
booktitle = {ASSETS '20: The 22nd International ACM SIGACCESS Conference
on Computers and Accessibility, Virtual Event, Greece, October 26-28,
2020},
pages = {57:1--57:4},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Chau, Minh Triet; Esteves, Diego; Lehmann, Jens A Neural-based model to Predict the Future Natural Gas Market Price
through Open-domain Event Extraction Inproceedings Proceedings of the 1st International Workshop on Cross-lingual Event-centric
Open Analytics co-located with the 17th Extended Semantic Web Conference
(ESWC 2020), Heraklion, Crete, Greece, June 3, 2020 (online event
due to COVID-19 outbreak), pp. 17–31, CEUR-WS.org, 2020. Links | BibTeX @inproceedings{DBLP:conf/esws/ChauE020,
title = {A Neural-based model to Predict the Future Natural Gas Market Price
through Open-domain Event Extraction},
author = {Minh Triet Chau and
Diego Esteves and
Jens Lehmann},
url = {http://ceur-ws.org/Vol-2611/paper2.pdf},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings of the 1st International Workshop on Cross-lingual Event-centric
Open Analytics co-located with the 17th Extended Semantic Web Conference
(ESWC 2020), Heraklion, Crete, Greece, June 3, 2020 (online event
due to COVID-19 outbreak)},
volume = {2611},
pages = {17--31},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Graux, Damien; Sejdiu, Gezim; Stadler, Claus; Napolitano, Giulio; Lehmann, Jens MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL
Queries Inproceedings Semantic Systems. In the Era of Knowledge Graphs - 16th International
Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands,
September 7-10, 2020, Proceedings, pp. 104–117, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/i-semantics/GrauxSSN020,
title = {MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL
Queries},
author = {Damien Graux and
Gezim Sejdiu and
Claus Stadler and
Giulio Napolitano and
Jens Lehmann},
url = {https://doi.org/10.1007/978-3-030-59833-4_7},
doi = {10.1007/978-3-030-59833-4_7},
year = {2020},
date = {2020-01-01},
booktitle = {Semantic Systems. In the Era of Knowledge Graphs - 16th International
Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands,
September 7-10, 2020, Proceedings},
volume = {12378},
pages = {104--117},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Musyaffa, Fathoni A; Lehmann, Jens; Jabeen, Hajira Cross-administration comparative analysis of open fiscal data Inproceedings ICEGOV 2020: 13th International Conference on Theory and Practice
of Electronic Governance, Athens, Greece, 23-25 September, 2020, pp. 459–468, ACM, 2020. Links | BibTeX @inproceedings{DBLP:conf/icegov/Musyaffa0J20,
title = {Cross-administration comparative analysis of open fiscal data},
author = {Fathoni A. Musyaffa and
Jens Lehmann and
Hajira Jabeen},
url = {https://doi.org/10.1145/3428502.3428573},
doi = {10.1145/3428502.3428573},
year = {2020},
date = {2020-01-01},
booktitle = {ICEGOV 2020: 13th International Conference on Theory and Practice
of Electronic Governance, Athens, Greece, 23-25 September, 2020},
pages = {459--468},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Payrosangari, Samin; Sadeghi, Afshin; Graux, Damien; Lehmann, Jens Meta-hyperband: Hyperparameter Optimization with Meta-learning and
Coarse-to-Fine Inproceedings Intelligent Data Engineering and Automated Learning - IDEAL 2020
- 21st International Conference, Guimaraes, Portugal, November 4-6,
2020, Proceedings, Part II, pp. 335–347, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/ideal/PayrosangariSG020,
title = {Meta-hyperband: Hyperparameter Optimization with Meta-learning and
Coarse-to-Fine},
author = {Samin Payrosangari and
Afshin Sadeghi and
Damien Graux and
Jens Lehmann},
url = {https://doi.org/10.1007/978-3-030-62365-4_32},
doi = {10.1007/978-3-030-62365-4_32},
year = {2020},
date = {2020-01-01},
booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2020
- 21st International Conference, Guimaraes, Portugal, November 4-6,
2020, Proceedings, Part II},
volume = {12490},
pages = {335--347},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Nayyeri, Mojtaba; Zhou, Xiaotian; Vahdati, Sahar; Izanloo, Reza; Yazdi, Hamed Shariat; Lehmann, Jens Let the Margin SlidE for Knowledge Graph Embeddings via a Correntropy Objective Function Inproceedings 2020 International Joint Conference on Neural Networks, IJCNN 2020,
Glasgow, United Kingdom, July 19-24, 2020, pp. 1–9, IEEE, 2020. Links | BibTeX @inproceedings{DBLP:conf/ijcnn/NayyeriZVIY020,
title = {Let the Margin SlidE for Knowledge Graph Embeddings via a Correntropy Objective Function},
author = {Mojtaba Nayyeri and
Xiaotian Zhou and
Sahar Vahdati and
Reza Izanloo and
Hamed Shariat Yazdi and
Jens Lehmann},
url = {https://doi.org/10.1109/IJCNN48605.2020.9207513},
doi = {10.1109/IJCNN48605.2020.9207513},
year = {2020},
date = {2020-01-01},
booktitle = {2020 International Joint Conference on Neural Networks, IJCNN 2020,
Glasgow, United Kingdom, July 19-24, 2020},
pages = {1--9},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bader, Sebastian R; Pullmann, Jaroslav; Mader, Christian; Tramp, Sebastian; Quix, Christoph; Müller, Andreas W; Akyürek, Haydar; Böckmann, Matthias; Imbusch, Benedikt T; Lipp, Johannes; Geisler, Sandra; Lange, Christoph The International Data Spaces Information Model - An Ontology for
Sovereign Exchange of Digital Content Inproceedings The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference,
Athens, Greece, November 2-6, 2020, Proceedings, Part II, pp. 176–192, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/semweb/BaderPMTQMABILG20,
title = {The International Data Spaces Information Model - An Ontology for
Sovereign Exchange of Digital Content},
author = {Sebastian R. Bader and
Jaroslav Pullmann and
Christian Mader and
Sebastian Tramp and
Christoph Quix and
Andreas W. Müller and
Haydar Akyürek and
Matthias Böckmann and
Benedikt T. Imbusch and
Johannes Lipp and
Sandra Geisler and
Christoph Lange},
url = {https://doi.org/10.1007/978-3-030-62466-8_12},
doi = {10.1007/978-3-030-62466-8_12},
year = {2020},
date = {2020-01-01},
booktitle = {The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference,
Athens, Greece, November 2-6, 2020, Proceedings, Part II},
volume = {12507},
pages = {176--192},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Nayyeri, Mojtaba; Xu, Chengjin; Vahdati, Sahar; Vassilyeva, Nadezhda; Sallinger, Emanuel; Yazdi, Hamed Shariat; Lehmann, Jens Fantastic Knowledge Graph Embeddings and How to Find the Right Space
for Them Inproceedings The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference,
Athens, Greece, November 2-6, 2020, Proceedings, Part I, pp. 438–455, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/semweb/NayyeriXVVSYL20,
title = {Fantastic Knowledge Graph Embeddings and How to Find the Right Space
for Them},
author = {Mojtaba Nayyeri and
Chengjin Xu and
Sahar Vahdati and
Nadezhda Vassilyeva and
Emanuel Sallinger and
Hamed Shariat Yazdi and
Jens Lehmann},
url = {https://doi.org/10.1007/978-3-030-62419-4_25},
doi = {10.1007/978-3-030-62419-4_25},
year = {2020},
date = {2020-01-01},
booktitle = {The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference,
Athens, Greece, November 2-6, 2020, Proceedings, Part I},
volume = {12506},
pages = {438--455},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rose, Jewgeni; Lehmann, Jens CASQAD - A New Dataset for Context-Aware Spatial Question Answering Inproceedings The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference,
Athens, Greece, November 2-6, 2020, Proceedings, Part II, pp. 3–17, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/semweb/RoseL20,
title = {CASQAD - A New Dataset for Context-Aware Spatial Question Answering},
author = {Jewgeni Rose and
Jens Lehmann},
url = {https://doi.org/10.1007/978-3-030-62466-8_1},
doi = {10.1007/978-3-030-62466-8_1},
year = {2020},
date = {2020-01-01},
booktitle = {The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference,
Athens, Greece, November 2-6, 2020, Proceedings, Part II},
volume = {12507},
pages = {3--17},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Xu, Chenjin; Nayyeri, Mojtaba; Alkhoury, Fouad; Yazdi, Hamed Shariat; Lehmann, Jens Temporal Knowledge Graph Completion Based on Time Series Gaussian
Embedding Inproceedings The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference,
Athens, Greece, November 2-6, 2020, Proceedings, Part I, pp. 654–671, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/semweb/XuNAYL20,
title = {Temporal Knowledge Graph Completion Based on Time Series Gaussian
Embedding},
author = {Chenjin Xu and
Mojtaba Nayyeri and
Fouad Alkhoury and
Hamed Shariat Yazdi and
Jens Lehmann},
url = {https://doi.org/10.1007/978-3-030-62419-4_37},
doi = {10.1007/978-3-030-62419-4_37},
year = {2020},
date = {2020-01-01},
booktitle = {The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference,
Athens, Greece, November 2-6, 2020, Proceedings, Part I},
volume = {12506},
pages = {654--671},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mulang, Isaiah Onando; Singh, Kuldeep; Vyas, Akhilesh; Shekarpour, Saeedeh; Vidal, Maria-Esther; Auer, Sören Encoding Knowledge Graph Entity Aliases in Attentive Neural Network
for Wikidata Entity Linking Inproceedings Web Information Systems Engineering - WISE 2020 - 21st International
Conference, Amsterdam, The Netherlands, October 20-24, 2020, Proceedings,
Part I, pp. 328–342, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/wise/MulangSVSVA20,
title = {Encoding Knowledge Graph Entity Aliases in Attentive Neural Network
for Wikidata Entity Linking},
author = {Isaiah Onando Mulang and
Kuldeep Singh and
Akhilesh Vyas and
Saeedeh Shekarpour and
Maria-Esther Vidal and
Sören Auer},
url = {https://doi.org/10.1007/978-3-030-62005-9_24},
doi = {10.1007/978-3-030-62005-9_24},
year = {2020},
date = {2020-01-01},
booktitle = {Web Information Systems Engineering - WISE 2020 - 21st International
Conference, Amsterdam, The Netherlands, October 20-24, 2020, Proceedings,
Part I},
volume = {12342},
pages = {328--342},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Wiens, Vitalis; Lohmann, Steffen Demonstration of a Customizable Knowledge Graph Visualization Framework Inproceedings Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel
Ideas to Industrial Practice co-located with 19th International Semantic
Web Conference (ISWC 2020), Globally online, November 1-6, 2020
(UTC), pp. 104–109, CEUR-WS.org, 2020. Links | BibTeX @inproceedings{DBLP:conf/semweb/WiensL20,
title = {Demonstration of a Customizable Knowledge Graph Visualization Framework},
author = {Vitalis Wiens and
Steffen Lohmann},
url = {http://ceur-ws.org/Vol-2721/paper525.pdf},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel
Ideas to Industrial Practice co-located with 19th International Semantic
Web Conference (ISWC 2020), Globally online, November 1-6, 2020
(UTC)},
volume = {2721},
pages = {104--109},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mami, Mohamed Nadjib; Grangel-González, Irlán; Graux, Damien; Elezi, Enkeleda; Lösch, Felix Semantic Data Integration for the SMT Manufacturing Process Using
SANSA Stack Inproceedings The Semantic Web: ESWC 2020 Satellite Events - ESWC 2020 Satellite
Events, Heraklion, Crete, Greece, May 31 - June 4, 2020, Revised Selected
Papers, pp. 307–311, Springer, 2020. Links | BibTeX @inproceedings{DBLP:conf/esws/MamiGGEL20,
title = {Semantic Data Integration for the SMT Manufacturing Process Using
SANSA Stack},
author = {Mohamed Nadjib Mami and
Irlán Grangel-González and
Damien Graux and
Enkeleda Elezi and
Felix Lösch},
url = {https://doi.org/10.1007/978-3-030-62327-2_47},
doi = {10.1007/978-3-030-62327-2_47},
year = {2020},
date = {2020-01-01},
booktitle = {The Semantic Web: ESWC 2020 Satellite Events - ESWC 2020 Satellite
Events, Heraklion, Crete, Greece, May 31 - June 4, 2020, Revised Selected
Papers},
volume = {12124},
pages = {307--311},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mohamed, Heba; Fathalla, Said; Lehmann, Jens; Jabeen, Hajira A Distributed Approach for Parsing Large-scale OWL Datasets Inproceedings Proceedings of the 12th International Joint Conference on Knowledge
Discovery, Knowledge Engineering and Knowledge Management, IC3K
2020, Volume 2: KEOD, Budapest, Hungary, November 2-4, 2020, pp. 227–234, SCITEPRESS, 2020. Links | BibTeX @inproceedings{DBLP:conf/ic3k/MohamedF0J20,
title = {A Distributed Approach for Parsing Large-scale OWL Datasets},
author = {Heba Mohamed and
Said Fathalla and
Jens Lehmann and
Hajira Jabeen},
url = {https://doi.org/10.5220/0010138602270234},
doi = {10.5220/0010138602270234},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings of the 12th International Joint Conference on Knowledge
Discovery, Knowledge Engineering and Knowledge Management, IC3K
2020, Volume 2: KEOD, Budapest, Hungary, November 2-4, 2020},
pages = {227--234},
publisher = {SCITEPRESS},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
