Maribel Acosta
Maribel Acosta
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TitelZitiert vonJahr
ANAPSID: an adaptive query processing engine for SPARQL endpoints
M Acosta, ME Vidal, T Lampo, J Castillo, E Ruckhaus
International Semantic Web Conference, 18-34, 2011
Crowdsourcing linked data quality assessment
M Acosta, A Zaveri, E Simperl, D Kontokostas, S Auer, J Lehmann
International Semantic Web Conference, 260-276, 2013
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
Networks of Linked Data eddies: An adaptive Web query processing engine for RDF data
M Acosta, ME Vidal
International Semantic Web Conference, 111-127, 2015
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
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
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
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
A Semantically Enabled Architecture for Crowdsourced Linked Data Management.
E Simperl, M Acosta, B Norton
CrowdSearch 842, 9-14, 2012
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
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, 11, 2015
DEFENDER: a DEcomposer for quEries against feDERations of endpoints
G Montoya, ME Vidal, M Acosta
Extended Semantic Web Conference, 480-484, 2012
Using Linked Data Effectively
E Simperl, B Norton, M Acosta, M Maleshkova, J Domingue, ...
The Open University, 2013
Knowledge Engineering via Human Computation
E Simperl, M Acosta, F Flöck
Handbook of Human Computation, 131-151, 2013
Diefficiency metrics: Measuring the continuous efficiency of query processing approaches
M Acosta, ME Vidal, Y Sure-Vetter
International Semantic Web Conference, 3-19, 2017
Conference live: Accessible and sociable conference semantic data
AL Gentile, M Acosta, L Costabello, AG Nuzzolese, V Presutti, ...
Proceedings of the 24th International Conference on World Wide Web, 1007-1012, 2015
whoVIS: Visualizing editor interactions and dynamics in collaborative writing over time
F Flöck, M Acosta
Proceedings of the 24th International Conference on World Wide Web, 191-194, 2015
Federated RDF Query Processing.
M Acosta, O Hartig, JF Sequeda
Encyclopedia of Big Data Technologies, 2019
Querying Large Knowledge Graphs over Triple Pattern Fragments: An Empirical Study
L Heling, M Acosta, M Maleshkova, Y Sure-Vetter
International Semantic Web Conference, 86-102, 2018
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
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