2020
|
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}
}
|
2019
|
Sakor, Ahmad; Mulang, Isaiah Onando; Singh, Kuldeep; Shekarpour, Saeedeh; Vidal, Maria-Esther; Lehmann, Jens; Auer, Sören Old is Gold: Linguistic Driven Approach for Entity and Relation Linking
of Short Text Inproceedings Proceedings of the 2019 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language Technologies,
NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long
and Short Papers), pp. 2336–2346, Association for Computational Linguistics, 2019. Links | BibTeX @inproceedings{DBLP:conf/naacl/SakorMSSV0A19,
title = {Old is Gold: Linguistic Driven Approach for Entity and Relation Linking
of Short Text},
author = {Ahmad Sakor and
Isaiah Onando Mulang and
Kuldeep Singh and
Saeedeh Shekarpour and
Maria-Esther Vidal and
Jens Lehmann and
Sören Auer},
url = {https://doi.org/10.18653/v1/n19-1243},
doi = {10.18653/v1/n19-1243},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the 2019 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language Technologies,
NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long
and Short Papers)},
pages = {2336--2346},
publisher = {Association for Computational Linguistics},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mehmood, Qaiser; Nadgeri, Abhishek; Saleem, Muhammad; Singh, Kuldeep; Ngomo, Axel-Cyrille Ngonga; Lehmann, Jens Microbenchmarks for Question Answering Systems Using QaldGen Inproceedings Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations,
Industry, and Outrageous Ideas) co-located with 18th International
Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October
26-30, 2019, pp. 261–264, CEUR-WS.org, 2019. Links | BibTeX @inproceedings{DBLP:conf/semweb/MehmoodN0SN019,
title = {Microbenchmarks for Question Answering Systems Using QaldGen},
author = {Qaiser Mehmood and
Abhishek Nadgeri and
Muhammad Saleem and
Kuldeep Singh and
Axel-Cyrille Ngonga Ngomo and
Jens Lehmann},
url = {http://ceur-ws.org/Vol-2456/paper68.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations,
Industry, and Outrageous Ideas) co-located with 18th International
Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October
26-30, 2019},
volume = {2456},
pages = {261--264},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Singh, Kuldeep; Saleem, Muhammad; Nadgeri, Abhishek; Conrads, Felix; Pan, Jeff Z; Ngomo, Axel-Cyrille Ngonga; Lehmann, Jens QaldGen: Towards Microbenchmarking of Question Answering Systems over
Knowledge Graphs Inproceedings The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference,
Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II, pp. 277–292, Springer, 2019. Links | BibTeX @inproceedings{DBLP:conf/semweb/Singh0NCPN019,
title = {QaldGen: Towards Microbenchmarking of Question Answering Systems over
Knowledge Graphs},
author = {Kuldeep Singh and
Muhammad Saleem and
Abhishek Nadgeri and
Felix Conrads and
Jeff Z. Pan and
Axel-Cyrille Ngonga Ngomo and
Jens Lehmann},
url = {https://doi.org/10.1007/978-3-030-30796-7_18},
doi = {10.1007/978-3-030-30796-7_18},
year = {2019},
date = {2019-01-01},
booktitle = {The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference,
Auckland, New Zealand, October 26-30, 2019, Proceedings, Part II},
volume = {11779},
pages = {277--292},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Singh, Kuldeep Towards Dynamic Composition of Question Answering Pipelines PhD Thesis University of Bonn, Germany, 2019. Abstract | Links | BibTeX @phdthesis{DBLP:phd/dnb/Singh19,
title = {Towards Dynamic Composition of Question Answering Pipelines},
author = {Kuldeep Singh},
url = {https://d-nb.info/1188730762/34},
year = {2019},
date = {2019-01-01},
school = {University of Bonn, Germany},
abstract = {Question answering (QA) over knowledge graphs has gained significant momentum over the past five years due to the increasing availability of large knowledge graphs and the rising importance of question answering for user interaction. DBpedia has been the most prominently used knowledge graph in this setting. QA systems implement a pipeline connecting a sequence of QA components for translating an input question into its corresponding formal query (e.g. SPARQL); this query will be executed over a knowledge graph in order to produce the answer of the question. Recent empirical studies have revealed that albeit overall effective, the performance of QA systems and QA components depends heavily on the features of input questions, and not even the combination of the best performing QA systems or individual QA components retrieves complete and correct answers. Furthermore, these QA systems cannot be easily reused, extended, and results cannot be easily reproduced since the systems are mostly implemented in a monolithic fashion, lack standardised interfaces, and are often not open source or available as Web services. All these drawbacks of the state of the art that prevents many of these approaches to be employed in real-world applications. In this thesis, we tackle the problem of QA over the knowledge graph and propose a generic approach to promote reusability and build question answering systems in a collaborative effort. Firstly, we define qa vocabulary and Qanary methodology to develop an abstraction level on existing QA systems and components. Qanary relies on qa vocabulary to establish guidelines for semantically describing the knowledge exchange between the components of a QA system. We implement a component-based modular framework called "Qanary Ecosystem" utilising the Qanary methodology to integrate several heterogeneous QA components in a single platform. We further present Qaestro framework that provides an approach to semantically describing question answering components and effectively enumerates QA pipelines based on a QA developer requirements. Qaestro provides all valid combinations of available QA components respecting the input-output requirement of each component to build QA pipelines. Finally, we address the scalability of QA components within a framework and propose a novel approach that chooses the best component per task to automatically build QA pipeline for each input question. We implement this model within FRANKENSTEIN, a framework able to select QA components and compose pipelines. FRANKENSTEIN extends Qanary ecosystem and utilises qa vocabulary for data exchange. It has 29 independent QA components implementing five QA tasks resulting in 360 unique QA pipelines. Each approach proposed in this thesis (Qanary methodology, Qaestro, and FRANKENSTEIN) is supported by extensive evaluation to demonstrate their effectiveness. Our contributions target a broader research agenda of offering the QA community an efficient way of applying their research to a research field which is driven by many different fields, consequently requiring a collaborative approach to achieve significant progress in the domain of question answering.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
Question answering (QA) over knowledge graphs has gained significant momentum over the past five years due to the increasing availability of large knowledge graphs and the rising importance of question answering for user interaction. DBpedia has been the most prominently used knowledge graph in this setting. QA systems implement a pipeline connecting a sequence of QA components for translating an input question into its corresponding formal query (e.g. SPARQL); this query will be executed over a knowledge graph in order to produce the answer of the question. Recent empirical studies have revealed that albeit overall effective, the performance of QA systems and QA components depends heavily on the features of input questions, and not even the combination of the best performing QA systems or individual QA components retrieves complete and correct answers. Furthermore, these QA systems cannot be easily reused, extended, and results cannot be easily reproduced since the systems are mostly implemented in a monolithic fashion, lack standardised interfaces, and are often not open source or available as Web services. All these drawbacks of the state of the art that prevents many of these approaches to be employed in real-world applications. In this thesis, we tackle the problem of QA over the knowledge graph and propose a generic approach to promote reusability and build question answering systems in a collaborative effort. Firstly, we define qa vocabulary and Qanary methodology to develop an abstraction level on existing QA systems and components. Qanary relies on qa vocabulary to establish guidelines for semantically describing the knowledge exchange between the components of a QA system. We implement a component-based modular framework called "Qanary Ecosystem" utilising the Qanary methodology to integrate several heterogeneous QA components in a single platform. We further present Qaestro framework that provides an approach to semantically describing question answering components and effectively enumerates QA pipelines based on a QA developer requirements. Qaestro provides all valid combinations of available QA components respecting the input-output requirement of each component to build QA pipelines. Finally, we address the scalability of QA components within a framework and propose a novel approach that chooses the best component per task to automatically build QA pipeline for each input question. We implement this model within FRANKENSTEIN, a framework able to select QA components and compose pipelines. FRANKENSTEIN extends Qanary ecosystem and utilises qa vocabulary for data exchange. It has 29 independent QA components implementing five QA tasks resulting in 360 unique QA pipelines. Each approach proposed in this thesis (Qanary methodology, Qaestro, and FRANKENSTEIN) is supported by extensive evaluation to demonstrate their effectiveness. Our contributions target a broader research agenda of offering the QA community an efficient way of applying their research to a research field which is driven by many different fields, consequently requiring a collaborative approach to achieve significant progress in the domain of question answering. |
Sakor, Ahmad; Singh, Kuldeep; Vidal, Maria-Esther FALCON: An Entity and Relation Linking Framework over DBpedia Inproceedings Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations,
Industry, and Outrageous Ideas) co-located with 18th International
Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October
26-30, 2019, pp. 265–268, CEUR-WS.org, 2019. Links | BibTeX @inproceedings{DBLP:conf/semweb/SakorSV19,
title = {FALCON: An Entity and Relation Linking Framework over DBpedia},
author = {Ahmad Sakor and
Kuldeep Singh and
Maria-Esther Vidal},
url = {http://ceur-ws.org/Vol-2456/paper69.pdf},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations,
Industry, and Outrageous Ideas) co-located with 18th International
Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October
26-30, 2019},
volume = {2456},
pages = {265--268},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2018
|
Singh, Kuldeep; Lytra, Ioanna; Radhakrishna, Arun Sethupat; Vyas, Akhilesh; Vidal, Maria-Esther Dynamic Composition of Question Answering Pipelines with FRANKENSTEIN Inproceedings The 41st International ACM SIGIR Conference on Research & Development
in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12,
2018, pp. 1313–1316, ACM, 2018. Links | BibTeX @inproceedings{DBLP:conf/sigir/SinghLRVV18,
title = {Dynamic Composition of Question Answering Pipelines with FRANKENSTEIN},
author = {Kuldeep Singh and
Ioanna Lytra and
Arun Sethupat Radhakrishna and
Akhilesh Vyas and
Maria-Esther Vidal},
url = {https://doi.org/10.1145/3209978.3210175},
doi = {10.1145/3209978.3210175},
year = {2018},
date = {2018-01-01},
booktitle = {The 41st International ACM SIGIR Conference on Research & Development
in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12,
2018},
pages = {1313--1316},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Singh, Kuldeep; Radhakrishna, Arun Sethupat; Both, Andreas; Shekarpour, Saeedeh; Lytra, Ioanna; Usbeck, Ricardo; Vyas, Akhilesh; Khikmatullaev, Akmal; Punjani, Dharmen; Lange, Christoph; Vidal, Maria-Esther; Lehmann, Jens; Auer, Sören Why Reinvent the Wheel: Let's Build Question Answering Systems Together Inproceedings Proceedings of the 2018 World Wide Web Conference on World Wide Web,
WWW 2018, Lyon, France, April 23-27, 2018, pp. 1247–1256, ACM, 2018. Links | BibTeX @inproceedings{DBLP:conf/www/SinghRBSLUVKP0V18,
title = {Why Reinvent the Wheel: Let's Build Question Answering Systems Together},
author = {Kuldeep Singh and
Arun Sethupat Radhakrishna and
Andreas Both and
Saeedeh Shekarpour and
Ioanna Lytra and
Ricardo Usbeck and
Akhilesh Vyas and
Akmal Khikmatullaev and
Dharmen Punjani and
Christoph Lange and
Maria-Esther Vidal and
Jens Lehmann and
Sören Auer},
url = {https://doi.org/10.1145/3178876.3186023},
doi = {10.1145/3178876.3186023},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the 2018 World Wide Web Conference on World Wide Web,
WWW 2018, Lyon, France, April 23-27, 2018},
pages = {1247--1256},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Singh, Kuldeep; Lytra, Ioanna; Radhakrishna, Arun Sethupat; Shekarpour, Saeedeh; Vidal, Maria-Esther; Lehmann, Jens No One is Perfect: Analysing the Performance of Question Answering
Components over the DBpedia Knowledge Graph Journal Article CoRR, abs/1809.10044 , 2018. Links | BibTeX @article{DBLP:journals/corr/abs-1809-10044,
title = {No One is Perfect: Analysing the Performance of Question Answering
Components over the DBpedia Knowledge Graph},
author = {Kuldeep Singh and
Ioanna Lytra and
Arun Sethupat Radhakrishna and
Saeedeh Shekarpour and
Maria-Esther Vidal and
Jens Lehmann},
url = {http://arxiv.org/abs/1809.10044},
year = {2018},
date = {2018-01-01},
journal = {CoRR},
volume = {abs/1809.10044},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
Singh, Kuldeep; Both, Andreas; Radhakrishna, Arun Sethupat; Shekarpour, Saeedeh Frankenstein: A Platform Enabling Reuse of Question Answering Components Inproceedings The Semantic Web - 15th International Conference, ESWC 2018, Heraklion,
Crete, Greece, June 3-7, 2018, Proceedings, pp. 624–638, Springer, 2018. Links | BibTeX @inproceedings{DBLP:conf/esws/SinghBRS18,
title = {Frankenstein: A Platform Enabling Reuse of Question Answering Components},
author = {Kuldeep Singh and
Andreas Both and
Arun Sethupat Radhakrishna and
Saeedeh Shekarpour},
url = {https://doi.org/10.1007/978-3-319-93417-4_40},
doi = {10.1007/978-3-319-93417-4_40},
year = {2018},
date = {2018-01-01},
booktitle = {The Semantic Web - 15th International Conference, ESWC 2018, Heraklion,
Crete, Greece, June 3-7, 2018, Proceedings},
volume = {10843},
pages = {624--638},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2017
|
Singh, Kuldeep; Lytra, Ioanna; Vidal, Maria-Esther; Punjani, Dharmen; Thakkar, Harsh; Lange, Christoph; Auer, Sören QAestro - Semantic-Based Composition of Question Answering Pipelines Inproceedings Database and Expert Systems Applications - 28th International Conference,
DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I, pp. 19–34, Springer, 2017. Links | BibTeX @inproceedings{DBLP:conf/dexa/SinghLVPT0A17,
title = {QAestro - Semantic-Based Composition of Question Answering Pipelines},
author = {Kuldeep Singh and
Ioanna Lytra and
Maria-Esther Vidal and
Dharmen Punjani and
Harsh Thakkar and
Christoph Lange and
Sören Auer},
url = {https://doi.org/10.1007/978-3-319-64468-4_2},
doi = {10.1007/978-3-319-64468-4_2},
year = {2017},
date = {2017-01-01},
booktitle = {Database and Expert Systems Applications - 28th International Conference,
DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I},
volume = {10438},
pages = {19--34},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mulang, Isaiah Onando; Singh, Kuldeep; Orlandi, Fabrizio Matching Natural Language Relations to Knowledge Graph Properties
for Question Answering Inproceedings Proceedings of the 13th International Conference on Semantic Systems,
SEMANTICS 2017, Amsterdam, The Netherlands, September 11-14, 2017, pp. 89–96, ACM, 2017. Links | BibTeX @inproceedings{DBLP:conf/i-semantics/MulangSO17,
title = {Matching Natural Language Relations to Knowledge Graph Properties
for Question Answering},
author = {Isaiah Onando Mulang and
Kuldeep Singh and
Fabrizio Orlandi},
url = {https://www.researchgate.net/publication/318361797_Matching_Natural_Language_Relations_to_Knowledge_Graph_Properties_for_Question_Answering},
doi = {10.1145/3132218.3132229},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 13th International Conference on Semantic Systems,
SEMANTICS 2017, Amsterdam, The Netherlands, September 11-14, 2017},
pages = {89--96},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Both, Andreas; Singh, Kuldeep; Diefenbach, Dennis; Lytra, Ioanna Rapid Engineering of QA Systems Using the Light-Weight Qanary Architecture Inproceedings Web Engineering - 17th International Conference, ICWE 2017, Rome,
Italy, June 5-8, 2017, Proceedings, pp. 544–548, Springer, 2017. Links | BibTeX @inproceedings{DBLP:conf/icwe/BothSDL17,
title = {Rapid Engineering of QA Systems Using the Light-Weight Qanary Architecture},
author = {Andreas Both and
Kuldeep Singh and
Dennis Diefenbach and
Ioanna Lytra},
url = {https://www.researchgate.net/profile/Kuldeep_Singh86/publication/315859644_Rapid_Engineering_of_QA_systems_using_the_light-weight_Qanary_Architecture/links/58ebe9484585153b60c98134/Rapid-Engineering-of-QA-systems-using-the-light-weight-Qanary-Architecture.pdf},
doi = {10.1007/978-3-319-60131-1_40},
year = {2017},
date = {2017-01-01},
booktitle = {Web Engineering - 17th International Conference, ICWE 2017, Rome,
Italy, June 5-8, 2017, Proceedings},
volume = {10360},
pages = {544--548},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Diefenbach, Dennis; Singh, Kuldeep; Both, Andreas; Cherix, Didier; Lange, Christoph; Auer, Sören The Qanary Ecosystem: Getting New Insights by Composing Question Answering
Pipelines Inproceedings Web Engineering - 17th International Conference, ICWE 2017, Rome,
Italy, June 5-8, 2017, Proceedings, pp. 171–189, Springer, 2017. Links | BibTeX @inproceedings{DBLP:conf/icwe/DiefenbachSBC0A17,
title = {The Qanary Ecosystem: Getting New Insights by Composing Question Answering
Pipelines},
author = {Dennis Diefenbach and
Kuldeep Singh and
Andreas Both and
Didier Cherix and
Christoph Lange and
Sören Auer},
url = {https://github.com/EIS-Bonn/Papers/blob/master/2017/qanaryICWE/qanary.pdf},
doi = {10.1007/978-3-319-60131-1_10},
year = {2017},
date = {2017-01-01},
booktitle = {Web Engineering - 17th International Conference, ICWE 2017, Rome,
Italy, June 5-8, 2017, Proceedings},
volume = {10360},
pages = {171--189},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Singh, Kuldeep; Mulang, Isaiah Onando; Lytra, Ioanna; Jaradeh, Mohamad Yaser; Sakor, Ahmad; Vidal, Maria-Esther; Lange, Christoph; Auer, Sören Capturing Knowledge in Semantically-typed Relational Patterns to Enhance
Relation Linking Inproceedings Proceedings of the Knowledge Capture Conference, K-CAP 2017, Austin,
TX, USA, December 4-6, 2017, pp. 31:1–31:8, ACM, 2017. Links | BibTeX @inproceedings{DBLP:conf/kcap/SinghMLJSV0A17,
title = {Capturing Knowledge in Semantically-typed Relational Patterns to Enhance
Relation Linking},
author = {Kuldeep Singh and
Isaiah Onando Mulang and
Ioanna Lytra and
Mohamad Yaser Jaradeh and
Ahmad Sakor and
Maria-Esther Vidal and
Christoph Lange and
Sören Auer},
url = {https://doi.org/10.1145/3148011.3148031},
doi = {10.1145/3148011.3148031},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the Knowledge Capture Conference, K-CAP 2017, Austin,
TX, USA, December 4-6, 2017},
pages = {31:1--31:8},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Singh, Kuldeep; Lytra, Ioanna; Aditya, Kunwar Abhinav; Vidal, Maria-Esther QAestro Framework - Semantic Composition of QA Pipelines Inproceedings Proceedings of the ISWC 2017 Posters & Demonstrations and Industry
Tracks co-located with 16th International Semantic Web Conference
(ISWC 2017), Vienna, Austria, October 23rd - to - 25th, 2017, CEUR-WS.org, 2017. Links | BibTeX @inproceedings{DBLP:conf/semweb/SinghLAV17,
title = {QAestro Framework - Semantic Composition of QA Pipelines},
author = {Kuldeep Singh and
Ioanna Lytra and
Kunwar Abhinav Aditya and
Maria-Esther Vidal},
url = {http://ceur-ws.org/Vol-1963/paper607.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the ISWC 2017 Posters & Demonstrations and Industry
Tracks co-located with 16th International Semantic Web Conference
(ISWC 2017), Vienna, Austria, October 23rd - to - 25th, 2017},
volume = {1963},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2016
|
kmueller stadler singh hellmann, Towards Sustainable view-based Extract-Transform-Load (ETL) Fusion of Open Data Inproceedings Proceedings of the Workshop on 3rd Workshop on Linked Data Quality co-located with the European Semantic Web Conference 2016 (ESWC 2016), 2016. Abstract | Links | BibTeX @inproceedings{kmueller-ldq16-etl-views,
title = {Towards Sustainable view-based Extract-Transform-Load (ETL) Fusion of Open Data},
author = {kmueller stadler singh hellmann},
url = {http://svn.aksw.org/papers/2016/ESWC_ETL_VIEWS/public.pdf},
year = {2016},
date = {2016-05-01},
booktitle = {Proceedings of the Workshop on 3rd Workshop on Linked Data Quality co-located with the European Semantic Web Conference 2016 (ESWC 2016)},
abstract = {Openly available datasets originate from different data providers which range from government agencies, over commercial enterprises to communities of data enthusiasts. Integrating different source datasets into a single RDF graph by using ETL (Extract-Transform-Load) sys- tems which perform offline transformation, ontology matching and link- ing techniques usually takes many iterations of revisions until the target dataset is made free of the most obvious mapping, linking and consis- tency errors. Since ETL systems produce the RDF offline, any map- ping or content change requires a re-ingest of the relevant source data. When dealing with heterogeneous source datasets, creating a unified tar- get dataset can be a tedious undertaking. Therefore the paper proposes an RDF view based ingestion approach, which allows real-time debugging of the unified dataset where mappings and links can be changed with immediate effect. Once the unified graph passes all data quality tests, the RDF can be materialized. This process poses an alternative to existing ETL solutions.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Openly available datasets originate from different data providers which range from government agencies, over commercial enterprises to communities of data enthusiasts. Integrating different source datasets into a single RDF graph by using ETL (Extract-Transform-Load) sys- tems which perform offline transformation, ontology matching and link- ing techniques usually takes many iterations of revisions until the target dataset is made free of the most obvious mapping, linking and consis- tency errors. Since ETL systems produce the RDF offline, any map- ping or content change requires a re-ingest of the relevant source data. When dealing with heterogeneous source datasets, creating a unified tar- get dataset can be a tedious undertaking. Therefore the paper proposes an RDF view based ingestion approach, which allows real-time debugging of the unified dataset where mappings and links can be changed with immediate effect. Once the unified graph passes all data quality tests, the RDF can be materialized. This process poses an alternative to existing ETL solutions. |
Both, Andreas; Diefenbach, Dennis; Singh, Kuldeep; Shekarpour, Saeedeh; Cherix, Didier; Lange, Christoph Qanary - A Methodology for Vocabulary-Driven Open Question Answering
Systems Inproceedings The Semantic Web. Latest Advances and New Domains - 13th International
Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 - June 2,
2016, Proceedings, pp. 625–641, Springer, 2016. Links | BibTeX @inproceedings{DBLP:conf/esws/BothDSSC016,
title = {Qanary - A Methodology for Vocabulary-Driven Open Question Answering
Systems},
author = {Andreas Both and
Dennis Diefenbach and
Kuldeep Singh and
Saeedeh Shekarpour and
Didier Cherix and
Christoph Lange},
url = {https://github.com/EIS-Bonn/Papers/raw/master/2016/ESWC_Qanary_Open_QA_Vocab/final.pdf},
doi = {10.1007/978-3-319-34129-3_38},
year = {2016},
date = {2016-01-01},
booktitle = {The Semantic Web. Latest Advances and New Domains - 13th International
Conference, ESWC 2016, Heraklion, Crete, Greece, May 29 - June 2,
2016, Proceedings},
volume = {9678},
pages = {625--641},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Singh, Kuldeep; Both, Andreas; Diefenbach, Dennis; Shekarpour, Saeedeh; Cherix, Didier; Lange, Christoph Qanary - The Fast Track to Creating a Question Answering System with
Linked Data Technology Inproceedings The Semantic Web - ESWC 2016 Satellite Events, Heraklion, Crete,
Greece, May 29 - June 2, 2016, Revised Selected Papers, pp. 183–188, 2016. Links | BibTeX @inproceedings{DBLP:conf/esws/SinghBDSC016,
title = {Qanary - The Fast Track to Creating a Question Answering System with
Linked Data Technology},
author = {Kuldeep Singh and
Andreas Both and
Dennis Diefenbach and
Saeedeh Shekarpour and
Didier Cherix and
Christoph Lange},
url = {https://doi.org/10.1007/978-3-319-47602-5_36},
doi = {10.1007/978-3-319-47602-5_36},
year = {2016},
date = {2016-01-01},
booktitle = {The Semantic Web - ESWC 2016 Satellite Events, Heraklion, Crete,
Greece, May 29 - June 2, 2016, Revised Selected Papers},
volume = {9989},
pages = {183--188},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Shekarpour, Saeedeh; Endris, Kemele M; Kumar, Ashwini Jaya; Lukovnikov, Denis; Singh, Kuldeep; Thakkar, Harsh; Lange, Christoph Question Answering on Linked Data: Challenges and Future Directions Inproceedings Proceedings of the 25th International Conference on World Wide Web,
WWW 2016, Montreal, Canada, April 11-15, 2016, Companion Volume, pp. 693–698, ACM, 2016. Links | BibTeX @inproceedings{DBLP:conf/www/ShekarpourEKLST16,
title = {Question Answering on Linked Data: Challenges and Future Directions},
author = {Saeedeh Shekarpour and
Kemele M. Endris and
Ashwini Jaya Kumar and
Denis Lukovnikov and
Kuldeep Singh and
Harsh Thakkar and
Christoph Lange},
url = {https://doi.org/10.1145/2872518.2890571},
doi = {10.1145/2872518.2890571},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 25th International Conference on World Wide Web,
WWW 2016, Montreal, Canada, April 11-15, 2016, Companion Volume},
pages = {693--698},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Singh, Kuldeep; Both, Andreas; Diefenbach, Dennis; Shekarpour, Saeedeh Towards a Message-Driven Vocabulary for Promoting the Interoperability
of Question Answering Systems Inproceedings Tenth IEEE International Conference on Semantic Computing, ICSC
2016, Laguna Hills, CA, USA, February 4-6, 2016, pp. 386–389, IEEE Computer Society, 2016. Links | BibTeX @inproceedings{DBLP:conf/semco/SinghBDS16,
title = {Towards a Message-Driven Vocabulary for Promoting the Interoperability
of Question Answering Systems},
author = {Kuldeep Singh and
Andreas Both and
Dennis Diefenbach and
Saeedeh Shekarpour},
url = {https://doi.org/10.1109/ICSC.2016.59},
doi = {10.1109/ICSC.2016.59},
year = {2016},
date = {2016-01-01},
booktitle = {Tenth IEEE International Conference on Semantic Computing, ICSC
2016, Laguna Hills, CA, USA, February 4-6, 2016},
pages = {386--389},
publisher = {IEEE Computer Society},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2013
|
Gupta, Anant; Singh, Kuldeep Location based personalized restaurant recommendation system for mobile
environments Inproceedings International Conference on Advances in Computing, Communications
and Informatics, ICACCI 2013, Mysore, India, August 22-25, 2013, pp. 507–511, IEEE, 2013. Links | BibTeX @inproceedings{DBLP:conf/icacci/GuptaS13,
title = {Location based personalized restaurant recommendation system for mobile
environments},
author = {Anant Gupta and
Kuldeep Singh},
url = {https://doi.org/10.1109/ICACCI.2013.6637223},
doi = {10.1109/ICACCI.2013.6637223},
year = {2013},
date = {2013-01-01},
booktitle = {International Conference on Advances in Computing, Communications
and Informatics, ICACCI 2013, Mysore, India, August 22-25, 2013},
pages = {507--511},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
