| ANAPSID: an adaptive query processing engine for SPARQL endpoints M Acosta, ME Vidal, T Lampo, J Castillo, E Ruckhaus The Semantic Web–ISWC 2011: 10th International Semantic Web Conference, Bonn …, 2011 | 263 | 2011 |
| Crowdsourcing linked data quality assessment M Acosta, A Zaveri, E Simperl, D Kontokostas, S Auer, J Lehmann The Semantic Web–ISWC 2013: 12th International Semantic Web Conference …, 2013 | 190 | 2013 |
| Networks of linked data eddies: An adaptive web query processing engine for RDF data M Acosta, ME Vidal The Semantic Web-ISWC 2015: 14th International Semantic Web Conference …, 2015 | 49 | 2015 |
| A Heuristic-Based Approach for Planning Federated SPARQL Queries G Montoya, ME Vidal, M Acosta Proceedings of the 3rd International Workshop on Consuming Linked Data …, 2012 | 48 | 2012 |
| Detecting linked data quality issues via crowdsourcing: A dbpedia study M Acosta, A Zaveri, E Simperl, D Kontokostas, F Flöck, J Lehmann Semantic web 9 (3), 303-335, 2018 | 41 | 2018 |
| On the selection of SPARQL endpoints to efficiently execute federated SPARQL queries ME Vidal, S Castillo, M Acosta, G Montoya, G Palma Transactions on large-scale data-and knowledge-centered systems XXV, 109-149, 2016 | 38 | 2016 |
| SMART-KG: hybrid shipping for SPARQL querying on the web A Azzam, JD Fernández, M Acosta, M Beno, A Polleres Proceedings of the Web Conference 2020, 984-994, 2020 | 33 | 2020 |
| Diefficiency metrics: measuring the continuous efficiency of query processing approaches M Acosta, ME Vidal, Y Sure-Vetter The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …, 2017 | 30 | 2017 |
| WikiWho: Precise and efficient attribution of authorship of revisioned content F Flöck, M Acosta Proceedings of the 23rd international conference on World wide web, 843-854, 2014 | 30 | 2014 |
| Enhancing answer completeness of SPARQL queries via crowdsourcing M Acosta, E Simperl, F Flöck, ME Vidal Web Semantics: Science, Services and Agents on the World Wide Web 45, 41-62, 2017 | 29 | 2017 |
| Federated RDF Query Processing. M Acosta, O Hartig, JF Sequeda Encyclopedia of Big Data Technologies, 2019 | 20 | 2019 |
| Querying large knowledge graphs over triple pattern fragments: An empirical study L Heling, M Acosta, M Maleshkova, Y Sure-Vetter The Semantic Web–ISWC 2018: 17th International Semantic Web Conference …, 2018 | 19 | 2018 |
| Towards Better Visual Tools for Exploring Wikipedia Article Development–The Use Case of “Gamergate Controversy” F Flöck, D Laniado, F Stadthaus, M Acosta Ninth International AAAI Conference on Web and Social Media, p48-55, 2015 | 17 | 2015 |
| A Semantically Enabled Architecture for Crowdsourced Linked Data Management. E Simperl, M Acosta, B Norton CrowdSearch 842, 9-14, 2012 | 15 | 2012 |
| HARE: A hybrid SPARQL engine to enhance query answers via crowdsourcing M Acosta, E Simperl, F Flöck, ME Vidal Proceedings of the 8th International Conference on Knowledge Capture, 1-8, 2015 | 14 | 2015 |
| Defender: a decomposer for queries against federations of endpoints G Montoya, ME Vidal, M Acosta The Semantic Web: ESWC 2012 Satellite Events: ESWC 2012 Satellite Events …, 2015 | 14 | 2015 |
| Cost-and robustness-based query optimization for linked data fragments L Heling, M Acosta The Semantic Web–ISWC 2020: 19th International Semantic Web Conference …, 2020 | 12 | 2020 |
| Smjoin: A multi-way join operator for sparql queries M Galkin, KM Endris, M Acosta, D Collarana, ME Vidal, S Auer Proceedings of the 13th International Conference on Semantic Systems, 104-111, 2017 | 12 | 2017 |
| Federated SPARQL query processing over heterogeneous linked data fragments L Heling, M Acosta Proceedings of the ACM Web Conference 2022, 1047-1057, 2022 | 10 | 2022 |
| An infrastructure for spatial linking of survey data F Bensmann, L Heling, S Jünger, L Mucha, M Acosta, J Goebel, G Meinel, ... Data Science Journal 19, 1-18, 2020 | 10 | 2020 |
Maria-Esther VidalProfessor Leibniz University of Hannover, TIB, L3S Research Center; Universidad Simon BolivarBestätigte E-Mail-Adresse bei l3s.de
