@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}

}

@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}

}

@inproceedings{DBLP:conf/esws/DadwalGSJ019,

title = {Clustering Pipelines of Large RDF POI Data},

author = {Rajjat Dadwal and 

Damien Graux and 

Gezim Sejdiu and 

Hajira Jabeen and 

Jens Lehmann},

url = {https://doi.org/10.1007/978-3-030-32327-1_5},

doi = {10.1007/978-3-030-32327-1_5},

year  = {2019},

date = {2019-01-01},

booktitle = {The Semantic Web: ESWC 2019 Satellite Events - ESWC 2019 Satellite 

Events, Portorov z, Slovenia, June 2-6, 2019, Revised Selected 

Papers},

volume = {11762},

pages = {24--27},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/SejdiuGKLJ019,

title = {Towards a Scalable Semantic-Based Distributed Approach for SPARQL 

Query Evaluation},

author = {Gezim Sejdiu and 

Damien Graux and 

Imran Khan and 

Ioanna Lytra and 

Hajira Jabeen and 

Jens Lehmann},

url = {https://doi.org/10.1007/978-3-030-33220-4_22},

doi = {10.1007/978-3-030-33220-4_22},

year  = {2019},

date = {2019-01-01},

booktitle = {Semantic Systems. The Power of AI and Knowledge Graphs - 15th International 

Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9-12, 2019, 

Proceedings},

volume = {11702},

pages = {295--309},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/StadlerSG019,

title = {Querying Large-scale RDF Datasets Using the SANSA Framework},

author = {Claus Stadler and 

Gezim Sejdiu and 

Damien Graux and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-2456/paper74.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 = {285--288},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/StadlerSG019a,

title = {Sparklify: A Scalable Software Component for Efficient Evaluation 

of SPARQL Queries over Distributed RDF Datasets},

author = {Claus Stadler and 

Gezim Sejdiu and 

Damien Graux and 

Jens Lehmann},

url = {https://doi.org/10.1007/978-3-030-30796-7_19},

doi = {10.1007/978-3-030-30796-7_19},

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 = {293--308},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/SuiSG019,

title = {The Hubs and Authorities Transaction Network Analysis using the SANSA 

framework},

author = {Danning Sui and 

Gezim Sejdiu and 

Damien Graux and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-2451/paper-25.pdf},

year  = {2019},

date = {2019-01-01},

booktitle = {Proceedings of the Posters and Demo Track of the 15th International 

Conference on Semantic Systems co-located with 15th International 

Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, 

September 9th - to - 12th, 2019},

volume = {2451},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/icwe/ArndtZST19,

title = {Jekyll RDF: Template-Based Linked Data Publication with Minimized 

Effort and Maximum Scalability},

author = {Natanael Arndt and 

Sebastian Zänker and 

Gezim Sejdiu and 

Sebastian Tramp},

url = {https://doi.org/10.1007/978-3-030-19274-7_24},

doi = {10.1007/978-3-030-19274-7_24},

year  = {2019},

date = {2019-01-01},

booktitle = {Web Engineering - 19th International Conference, ICWE 2019, Daejeon, 

South Korea, June 11-14, 2019, Proceedings},

volume = {11496},

pages = {331--346},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/SejdiuR0J19,

title = {A Scalable Framework for Quality Assessment of RDF Datasets},

author = {Gezim Sejdiu and 

Anisa Rula and 

Jens Lehmann and 

Hajira Jabeen},

url = {https://doi.org/10.1007/978-3-030-30796-7_17},

doi = {10.1007/978-3-030-30796-7_17},

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 = {261--276},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ekaw/JabeenDSL18,

title = {Divided We Stand Out! Forging Cohorts fOr Numeric Outlier Detection 

in Large Scale Knowledge Graphs (CONOD)},

author = {Hajira Jabeen and 

Rajjat Dadwal and 

Gezim Sejdiu and 

Jens Lehmann},

url = {https://doi.org/10.1007/978-3-030-03667-6_34},

doi = {10.1007/978-3-030-03667-6_34},

year  = {2018},

date = {2018-01-01},

booktitle = {Knowledge Engineering and Knowledge Management - 21st International 

Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings},

volume = {11313},

pages = {534--548},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/GrauxSJLSMP18,

title = {Profiting from Kitties on Ethereum: Leveraging Blockchain RDF with 

SANSA},

author = {Damien Graux and 

Gezim Sejdiu and 

Hajira Jabeen and 

Jens Lehmann and 

Danning Sui and 

Dominik Muhs and 

Johannes Pfeffer},

url = {http://ceur-ws.org/Vol-2198/paper_124.pdf},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the Posters and Demos Track of the 14th International 

Conference on Semantic Systems co-located with the 14th International 

Conference on Semantic Systems (SEMANTiCS 2018), Vienna, Austria, 

September 10-13, 2018},

volume = {2198},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/SejdiuELM18,

title = {DistLODStats: Distributed Computation of RDF Dataset Statistics},

author = {Gezim Sejdiu and 

Ivan Ermilov and 

Jens Lehmann and 

Mohamed Nadjib Mami},

url = {https://doi.org/10.1007/978-3-030-00668-6_13},

doi = {10.1007/978-3-030-00668-6_13},

year  = {2018},

date = {2018-01-01},

booktitle = {The Semantic Web - ISWC 2018 - 17th International Semantic Web Conference, 

Monterey, CA, USA, October 8-12, 2018, Proceedings, Part II},

volume = {11137},

pages = {206--222},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/SejdiuEML18,

title = {STATisfy Me: What Are My Stats?},

author = {Gezim Sejdiu and 

Ivan Ermilov and 

Mohamed Nadjib Mami and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-2180/paper-58.pdf},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the ISWC 2018 Posters & Demonstrations, Industry 

and Blue Sky Ideas Tracks co-located with 17th International Semantic 

Web Conference (ISWC 2018), Monterey, USA, October 8th - to - 12th, 

2018},

volume = {2180},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/icwe/AuerSVPCKLJESIA17,

title = {The BigDataEurope Platform - Supporting the Variety Dimension of Big 

Data},

author = {Sören Auer and 

Simon Scerri and 

Aad Versteden and 

Erika Pauwels and 

Angelos Charalambidis and 

Stasinos Konstantopoulos and 

Jens Lehmann and 

Hajira Jabeen and 

Ivan Ermilov and 

Gezim Sejdiu and 

Andreas Ikonomopoulos and 

Spyros Andronopoulos and 

Mandy Vlachogiannis and 

Charalambos Pappas and 

Athanasios Davettas and 

Iraklis A. Klampanos and 

Efstathios Grigoropoulos and 

Vangelis Karkaletsis and 

Victor de Boer and 

Ronald Siebes and 

Mohamed Nadjib Mami and 

Sergio Albani and 

Michele Lazzarini and 

Paulo Nunes and 

Emanuele Angiuli and 

Nikiforos Pittaras and 

George Giannakopoulos and 

Giorgos Argyriou and 

George Stamoulis and 

George Papadakis and 

Manolis Koubarakis and 

Pythagoras Karampiperis and 

Axel-Cyrille Ngonga Ngomo and 

Maria-Esther Vidal},

url = {https://doi.org/10.1007/978-3-319-60131-1_3},

doi = {10.1007/978-3-319-60131-1_3},

year  = {2017},

date = {2017-01-01},

booktitle = {Web Engineering - 17th International Conference, ICWE 2017, Rome, 

Italy, June 5-8, 2017, Proceedings},

volume = {10360},

pages = {41--59},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

abstract = {The management and analysis of large-scale datasets -- described with the term Big Data -- involves the three classic dimensions volume, velocity and variety. While the former two are well supported by a plethora of software components, the variety dimension is still rather neglected. We present the BDE platform -- an easy-to-deploy, easy-to-use and adaptable (cluster-based and standalone) platform for the execution of big data components and tools like Hadoop, Spark, Flink. The BDE platform was designed based upon the requirements gathered from the seven societal challenges put forward by the European Commission in the Horizon 2020 programme and targeted by the BigDataEurope pilots. As a result, the BDE platform allows to perform a variety of Big Data flow tasks like message passing (Kafka, Flume), storage (Hive, Cassandra) or publishing (GeoTriples). In order to facilitate the processing of heterogeneous data, a particular innovation of the platform is the semantic layer, which allows to directly process RDF data and to map and transform arbitrary data into RDF.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/kesw/ErmilovNVJSASJL17,

title = {Managing Lifecycle of Big Data Applications},

author = {Ivan Ermilov and 

Axel-Cyrille Ngonga Ngomo and 

Aad Versteden and 

Hajira Jabeen and 

Gezim Sejdiu and 

Giorgos Argyriou and 

Luigi Selmi and 

Jürgen Jakobitsch and 

Jens Lehmann},

url = {https://doi.org/10.1007/978-3-319-69548-8_18},

doi = {10.1007/978-3-319-69548-8_18},

year  = {2017},

date = {2017-01-01},

booktitle = {Knowledge Engineering and Semantic Web - 8th International Conference, 

KESW 2017, Szczecin, Poland, November 8-10, 2017, Proceedings},

volume = {786},

pages = {263--276},

publisher = {Springer},

series = {Communications in Computer and Information Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/ErmilovLSBWSBCP17,

title = {The Tale of Sansa Spark},

author = {Ivan Ermilov and 

Jens Lehmann and 

Gezim Sejdiu and 

Lorenz Bühmann and 

Patrick Westphal and 

Claus Stadler and 

Simon Bin and 

Nilesh Chakraborty and 

Henning Petzka and 

Muhammad Saleem and 

Axel-Cyrille Ngonga Ngomo and 

Hajira Jabeen},

url = {http://ceur-ws.org/Vol-1963/paper552.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}

}

@inproceedings{DBLP:conf/semweb/LehmannSBWSEBCS17,

title = {Distributed Semantic Analytics Using the SANSA Stack},

author = {Jens Lehmann and 

Gezim Sejdiu and 

Lorenz Bühmann and 

Patrick Westphal and 

Claus Stadler and 

Ivan Ermilov and 

Simon Bin and 

Nilesh Chakraborty and 

Muhammad Saleem and 

Axel-Cyrille Ngonga Ngomo and 

Hajira Jabeen},

url = {https://doi.org/10.1007/978-3-319-68204-4_15},

doi = {10.1007/978-3-319-68204-4_15},

year  = {2017},

date = {2017-01-01},

booktitle = {The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference, 

Vienna, Austria, October 21-25, 2017, Proceedings, Part II},

volume = {10588},

pages = {147--155},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

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. A major research challenge today is to perform scalable analysis of large-scale knowledge graphs to facilitate applications like link prediction, knowledge base completion and question answering. Most analytics approaches, which scale horizontally (i.e., can be executed in a distributed environment) work on simple feature-vector-based input rather than more expressive knowledge structures. On the other hand, analytics methods which exploit expressive structures usually do not scale well to very large knowledge bases. This software framework paper describes the ongoing project Semantic Analytics Stack (SANSA) which supports expressive and scalable semantic analytics by providing functionality for distributed in-memory computing for RDF data. The library provides APIs for RDF storage, querying using SPARQL and forward chaining inference. It includes several machine learning algorithms for RDF knowledge graphs. The article describes the vision, architecture and use cases of SANSA.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}