Research

Publications

Research on federated query processing, knowledge graphs, and semantic data integration. 519 citations · h-index 14 · i10-index 18.

519

Citations

14

h-index

18

i10-index

2019
International Conference on Database and Expert Systems Applications71 citations

Ontario: Federated query processing against a semantic data lake

KM Endris, PD Rohde, ME Vidal, S Auer

Federated QueriesSPARQLKnowledge Graphs
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2019
Datenbank-Spektrum 19(2), 95–10645 citations

Transforming heterogeneous data into knowledge for personalized treatments — A use case

ME Vidal, KM Endris, S Jazashoori, A Sakor, A Rivas

Knowledge GraphsPersonalized MedicineData Integration
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2019
OTM Confederated International Conferences43 citations

What are the parameters that affect the construction of a knowledge graph?

D Chaves-Fraga, KM Endris, E Iglesias, O Corcho, ME Vidal

Knowledge GraphsData Science
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2017
International Conference on Database and Expert Systems Applications43 citations

MULDER: Querying the linked data web by bridging RDF molecule templates

KM Endris, M Galkin, I Lytra, MN Mami, ME Vidal, S Auer

RDFLinked DataSPARQLFederated Queries
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2021
Companion Proceedings of the Web Conference 202138 citations

Managing knowledge in energy data spaces

V Janev, ME Vidal, K Endris, D Pujic

Knowledge GraphsData SpacesEnergy
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2016
Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics32 citations

Are linked datasets fit for open-domain question answering? A quality assessment

H Thakkar, KM Endris, JM Gimenez-Garcia, J Debattista, C Lange, S Auer

Question AnsweringLinked DataData Quality
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2016
arXiv preprint arXiv:1601.0354131 citations

Question Answering on Linked Data: Challenges and Future Directions

S Shekarpour, D Lukovnikov, AJ Kumar, KM Endris, K Singh, H Thakkar, et al.

Question AnsweringLinked DataNLP
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2019
Current Trends in Semantic Web Technologies: Theory and Practice, 25–5628 citations

Semantic data integration of big biomedical data for supporting personalised medicine

ME Vidal, KM Endris, S Jozashoori, F Karim, G Palma

BiomedicalSemantic WebData Integration
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2018
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX27 citations

Querying interlinked data by bridging RDF molecule templates

KM Endris, M Galkin, I Lytra, MN Mami, ME Vidal, S Auer

RDFLinked DataQuery Processing
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2015
International Semantic Web Conference, 513–52924 citations

Interest-based RDF update propagation

KM Endris, S Faisal, F Orlandi, S Auer, S Scerri

RDFSemantic WebData Updates
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2016
International Conference on Web Engineering, 225–24321 citations

Co-evolution of RDF Datasets

S Faisal, KM Endris, S Shekarpour, S Auer, ME Vidal

RDFDataset EvolutionSemantic Web
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2019
Proceedings of the 15th International Symposium on Open Collaboration18 citations

When humans and machines collaborate: cross-lingual label editing in Wikidata

LA Kaffee, KM Endris, E Simperl

WikidataCross-lingualHuman-AI Collaboration
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2020
Knowledge Graphs and Big Data Processing, 73–8616 citations

Chapter 5: Federated query processing

KM Endris, ME Vidal, D Graux

Federated QueriesKnowledge GraphsBig Data
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2018
International Conference on Database and Expert Systems Applications, 69–8416 citations

BOUNCER: Privacy-aware query processing over federations of RDF datasets

KM Endris, Z Almhithawi, I Lytra, ME Vidal, S Auer

PrivacyRDFFederated QueriesAccess Control
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2017
Proceedings of the 13th International Conference on Semantic Systems, 104–11113 citations

SMJoin: A multi-way join operator for SPARQL queries

M Galkin, KM Endris, M Acosta, D Collarana, ME Vidal, S Auer

SPARQLQuery OptimizationSemantic Systems
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2017
Proceedings of the 9th Knowledge Capture Conference12 citations

Dataset reuse: an analysis of references in community discussions, publications and data

KM Endris, JM Giménez-García, H Thakkar, E Demidova, A Zimmermann, et al.

Dataset ReuseKnowledge CaptureData Science
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2019
Proceedings of the 10th International Conference on Knowledge Capture, 21–2810 citations

Ranking knowledge graphs by capturing knowledge about languages and labels

LA Kaffee, KM Endris, E Simperl, ME Vidal

Knowledge GraphsRankingMultilingual
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2019
International Conference on Database and Expert Systems Applications, 205–21410 citations

PURE: A privacy aware rule-based framework over knowledge graphs

M Goncalves, ME Vidal, KM Endris

PrivacyKnowledge GraphsAccess Control
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2020
PhD Thesis, Universitäts- und Landesbibliothek Bonn5 citations

Federated query processing over heterogeneous data sources in a semantic data lake

KM Endris

PhD ThesisFederated QueriesSemantic Data Lake
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2021
arXiv preprint arXiv:2107.069994 citations

Reuse of semantic models for emerging smart grids applications

V Janev, D Popadić, D Pujić, ME Vidal, K Endris

Smart GridsSemantic ModelsEnergy
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