Maribel Acosta

@ruhr-uni-bochum.de

Faculty of Computer Science
Ruhr University Bochum



                 

https://researchid.co/maribelacosta

RESEARCH INTERESTS

Knowledge Bases
Databases
Query Optimization
Data Quality

1112

Scholar Citations

15

Scholar h-index

26

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
    T Schwabe, M Acosta
    Proceedings of the ACM on Management of Data 2 (1), 1-26 2024

  • Uncertainty Flow Diagrams: Towards a Systematic Representation of Uncertainty Propagation and Interaction in Adaptive Systems
    J Camara, S Hahner, D Perez-Palacin, A Vallecillo, M Acosta, N Bencomo, ...
     2024

  • International Workshop on Knowledge Graph Summarization (KGSum2023)
    C Badenes-olmedo, JL Redondo-garcia, N Mihindukulasooriya, M Acosta
    International Conference on Knowledge Capture 2023

  • Parker: Data fusion through consistent repairs using edit rules under partial keys
    A Bronselaer, M Acosta
    Information Fusion 100, 101942 2023

  • Generating embedding spaces for re-identifying pallets from their chipwood patterns
    N Schwenzfeier, J Rutinowski, M Hesenius, C Reining, M Acosta
    Engineering Applications of Artificial Intelligence 126, 106905 2023

  • Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems
    D Weyns, R Calinescu, R Mirandola, K Tei, M Acosta, A Bennaceur, ...
    ACM SIGSOFT Software Engineering Notes 48 (4), 20-36 2023

  • Knowledge Graphs: Semantics, Machine Learning, and Languages: Proceedings of the 19th International Conference on Semantic Systems, 20-22 September 2023, Leipzig, Germany
    M Acosta, S Peroni, S Vahdati
    IOS Press 2023

  • Towards Semantically Enriched Embeddings for Knowledge Graph Completion
    M Alam, F van Harmelen, M Acosta
    arXiv preprint arXiv:2308.00081 2023

  • AFRNN: Stable RNN with Top Down Feedback and Antisymmetry
    T Schwabe, T Glasmachers, M Acosta
    Asian Conference on Machine Learning, 880-894 2023

  • Knowledge Graphs: Proceedings of the 19th International Conference on Semantic Systems, 20-22 September 2023, Leipzig, Germany
    M Acosta, S Peroni, S Vahdati
    IOS Press, Incorporated 2023

  • Knowledge Graphs: Semantics, Machine Learning, and Languages
    M Acosta, S Peroni, S Vahdati, AL Gentile, T Pellegrini, JC Kalo
    STUDIES ON THE SEMANTIC WEB 56, 1-262 2023

  • Characteristic sets profile features: Estimation and application to SPARQL query planning
    L Heling, M Acosta
    Semantic Web 14 (3), 491-526 2023

  • On the applicability of synthetic data for re-identification
    J Rutinowski, B Vankayalapati, N Schwenzfeier, M Acosta, C Reining
    arXiv preprint arXiv:2212.10105 2022

  • Uncertainty in coupled models of cyber-physical systems
    M Acosta, S Hahner, A Koziolek, T Khn, R Mirandola, R Reussner
    Proceedings of the 25th International Conference on Model Driven Engineering 2022

  • Utility-aware Semantics for Alternative Service Expressions in Federated SPARQL Queries
    L Heling, M Acosta
    2022 IEEE International Conference on Web Services (ICWS), 208-218 2022

  • Federated SPARQL query processing over heterogeneous linked data fragments
    L Heling, M Acosta
    Proceedings of the ACM Web Conference 2022, 1047-1057 2022

  • Consistent data fusion with Parker
    A Bronselaer, M Acosta
    arXiv preprint arXiv:2202.12184 2022

  • smart-KG: Partition-Based Linked Data Fragments for querying knowledge graphs
    A Azzam, A Polleres, J D Fernndez, M Acosta
    Semantic Web, 1-45 2022

  • Robust query processing for linked data fragments
    L Heling, M Acosta
    Semantic Web 13 (4), 623-657 2022

  • Predicting instance type assertions in knowledge graphs using stochastic neural networks
    T Weller, M Acosta
    Proceedings of the 30th ACM International Conference on Information 2021

MOST CITED SCHOLAR PUBLICATIONS

  • 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
    Citations: 265

  • 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
    Citations: 188

  • 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
    Citations: 49

  • 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
    Citations: 48

  • Detecting linked data quality issues via crowdsourcing: A dbpedia study
    M Acosta, A Zaveri, E Simperl, D Kontokostas, F Flck, J Lehmann
    Semantic web 9 (3), 303-335 2018
    Citations: 41

  • 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
    Citations: 39

  • SMART-KG: hybrid shipping for SPARQL querying on the web
    A Azzam, JD Fernndez, M Acosta, M Beno, A Polleres
    Proceedings of the Web Conference 2020, 984-994 2020
    Citations: 33

  • 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
    Citations: 31

  • WikiWho: Precise and efficient attribution of authorship of revisioned content
    F Flck, M Acosta
    Proceedings of the 23rd international conference on World wide web, 843-854 2014
    Citations: 31

  • Enhancing answer completeness of SPARQL queries via crowdsourcing
    M Acosta, E Simperl, F Flck, ME Vidal
    Web Semantics: Science, Services and Agents on the World Wide Web 45, 41-62 2017
    Citations: 30

  • Effect of the substrate temperature on the physical properties of sprayed-CdS films by using an automatized perfume atomizer
    G Ojeda-Barrero, AI Oliva-Avils, AI Oliva, RD Maldonado, M Acosta, ...
    Materials Science in Semiconductor Processing 79, 7-13 2018
    Citations: 28

  • Federated RDF Query Processing.
    M Acosta, O Hartig, JF Sequeda
    Encyclopedia of Big Data Technologies 2019
    Citations: 21

  • 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
    Citations: 19

  • Towards Better Visual Tools for Exploring Wikipedia Article Development–The Use Case of “Gamergate Controversy”
    F Flck, D Laniado, F Stadthaus, M Acosta
    Ninth International AAAI Conference on Web and Social Media, p48-55 2015
    Citations: 18

  • A Semantically Enabled Architecture for Crowdsourced Linked Data Management.
    E Simperl, M Acosta, B Norton
    CrowdSearch 842, 9-14 2012
    Citations: 15

  • 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
    Citations: 14

  • HARE: A hybrid SPARQL engine to enhance query answers via crowdsourcing
    M Acosta, E Simperl, F Flck, ME Vidal
    Proceedings of the 8th International Conference on Knowledge Capture, 1-8 2015
    Citations: 13

  • 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
    Citations: 12

  • 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
    Citations: 12

  • Federated SPARQL query processing over heterogeneous linked data fragments
    L Heling, M Acosta
    Proceedings of the ACM Web Conference 2022, 1047-1057 2022
    Citations: 11