Internationale Journale, Konferenzen und Workshops (peer-reviewed), sowie Monographie
Publikationen 2023
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(2023): Toward a Solution for an Energy Knowledge Graph. pp 3–12., Springer, Singapore
DOI: https://doi.org/10.1007/978-981-19-7126-6_1
ISBN: 978-981-19-7125-9 -
(2023): Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources., Journal of Web Semantics - Special Issue on Automatic Knowledge Graph Construction.
DOI: https://doi.org/10.48550/arXiv.2201.09694
arXiv: https://arxiv.org/abs/2201.09694 -
(2023): Knowledge4COVID-19: A Semantic-based Approach for Constructing a COVID-19 related Knowledge Graph from Various Sources and Analyzing Treatments' Toxicities, Journal of Web Semantics - Special Issue on Automatic Knowledge Graph Construction.
DOI: https://doi.org/10.1016/j.websem.2022.100760 -
(2023): Knowledge graphs for enhancing transparency in health data ecosystems. 943–976, Semantic Web 14 Weitere Informationen
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(2023): Towards Certified Distributed Query Processing, ESWC 2023 Workshops and Tutorials Joint Proceedings Weitere Informationen
Publikationen 2022
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(2022): EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines., SAC 2022.
arXiv: https://arxiv.org/pdf/2112.07493.pdf -
(2022): Improving Early Prognosis of Dementia using Machine Learning Methods. pp 1–16., ACM.
DOI: https://doi.org/10.1145/3502433 -
(2022): Enhancing Query Answer Completeness with Query Expansion based on Synonym Predicates. pp 354–358, WWW 22.
DOI: https://doi.org/10.1145/3487553.3524198 -
(2022): Efficient Semantic Summary Graph for Querying Large Knowledge Graphs., Journal of Information Management Data Insights.
DOI: https://doi.org/10.1016/j.jjimei.2022.100082 -
(2022): Identifying the Presence and Severity of Dementia by Applying Interpretable Machine Learning Techniques on Structured Clinical Records, BMC Medical Informatics and Decision Making
DOI: https://doi.org/10.21203/rs.3.rs-336921/v1 -
(2022): Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources, Journal of Web Semantics - Special Issue on Automatic Knowledge Graph Construction
DOI: https://doi.org/10.48550/arXiv.2201.09694
arXiv: https://arxiv.org/abs/2201.09694 -
(2022): Causal Relationship over Knowledge Graphs. pp 5116–5119, CIKM '22
DOI: https://doi.org/10.1145/3511808.3557818 -
(2022): Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments’ toxicities, Journal of Web Semantics - Special Issue on Automatic Knowledge Graph Construction.
DOI: https://doi.org/10.1016/j.websem.2022.100760 -
(2022): Resorting to Context-aware Background Knowledge for Unveiling Semantically Related Posts. pp. 115351-115371, IEEE Access.
DOI: https://doi.org/10.1109/ACCESS.2022.3217492 -
(2022): A Neuro-Symbolic System over Knowledge Graphs for Link Prediction, Semantic Web Journal in the Special Issue of Neuro-Symbolic Systems. Weitere Informationen
Publikationen 2021
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(2021): Trav-SHACL: Efficiently Validating Networks of SHACL Constraints, WWW 2021.
DOI: https://doi.org/10.48550/arXiv.2101.07136
arXiv: https://arxiv.org/abs/2101.07136v1 -
(2021): Analyzing a Knowledge Graph of Industry 4.0 Standards, WWW (Companion Volume) 2021.
DOI: https://doi.org/10.1145/3442442.3453542 -
(2021): Managing Knowledge in Energy Data Spaces, WWW (Companion Volume) 2021.
DOI: https://doi.org/10.1145/3442442.3453541 -
(2021): Datenschutzfragen in Big Data der Biomedizin. pp 571-588, Künstliche Intelligenz – Recht und Praxis automatisierter und autonomer Systeme.
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(2021): Discover Relations in the Industry 4.0 Standards via Unsupervised Learning on Knowledge Graph Embeddings, Journal of Data Intelligence. Weitere Informationen
ISSN: 2577-610X -
(2021): SHACL Constraint Validation during SPARQL Query Processing, VLDB 2021 PhD Workshop.
DOI: https://doi.org/10.34657/6843 -
(2021): Knowledge-driven Data Ecosystems Towards Data Transparency, JDIQ 2021.
DOI: https://doi.org/10.48550/arXiv.2105.09312 -
(2021): Calibrating Mini-Mental State Examination Scores to Predict Misdiagnosed Dementia Patients, MDPI.
DOI: https://doi.org/10.3390/app11178055 -
(2021): Capturing Knowledge about Drug-Drug Interactions to Enhance Treatment Effectiveness. pp 33-40, K-CAP 2021.
DOI: https://doi.org/10.1145/3460210.3493560 -
(2021): Reuse of Semantic Models for Emerging Smart Grids Applications, ICIST Conference 2021.
DOI: https://doi.org/10.48550/arXiv.2107.06999
Publikationen 2020
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(2020): IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA. Expert Systems with Applications, IOTA, Volume 147, 113135.
DOI: https://doi.org/10.1016/j.eswa.2019.113135 -
(2020): Bias in Data-driven AI Systems - An Introductory Survey, Journal WIREs Data Mining and Knowledge Discovery.
DOI: https://doi.org/10.1002/widm.1356 -
(2020): Compacting Frequent Star Patterns in RDF Graphs, Journal of Intelligent Information Systems.
DOI: https://doi.org/10.48550/arXiv.2003.05238 -
(2020): Digital Transformation of Education Credential Processes and Life Cycles -- A Structured Overview on Main Challenges and Research Questions, eLmL 2020. Weitere Informationen
ISBN: 978-1-61208-764-1
ISSN: 2308-4367 -
(2020): Optimizing Federated Queries Based on the Physical Design of a Data Lake, EDBT/ICDT 2020 Workshops. Weitere Informationen
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(2020): Creating and Capturing Artificial Emotions in Autonomous Robots and Software Agents, ICWE 2020.
DOI: https://doi.org/10.1007/978-3-030-50578-3_19 -
(2020): Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings, DEXA2020.
DOI: https://doi.org/10.48550/arXiv.2006.04556 -
(2020): Falcon 2.0: An Entity and Relation Linking Tool over Wikidata, CIKM 2020
DOI: https://doi.org/10.1145/3340531.3412777 -
(2020): SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs, CIKM 2020.
DOI: https://doi.org/10.1145/3340531.3412881 -
(2020): No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph, J. Web Semant., Volume 65.
DOI: https://doi.org/10.1016/j.websem.2020.100594 -
(2020): Encoding Knowledge Graph Entity Aliases in an Attentive Neural Networks for Wikidata Entity Linking, WISE 2020.
DOI: https://doi.org/10.1007/978-3-030-62005-9_24 -
(2020): Knowledge Graphs and Big Data Processing Chapter 5 Federated Query Processing. pp 73–86, Janev, V., Graux, D., Jabeen, H., Sallinger, E. (eds) Knowledge Graphs and Big Data Processing. Lecture Notes in Computer Science(), vol 12072
DOI: https://doi.org/10.1007/978-3-030-53199-7_5
ISBN: 978-3-030-53198-0 -
(2020): Knowledge Graphs and Big Data Processing Chapter 8 Context-Based Entity Matching for Big Data, Janev, V., Graux, D., Jabeen, H., Sallinger, E. (eds) Knowledge Graphs and Big Data Processing. Lecture Notes in Computer Science(), vol 12072.
DOI: https://doi.org/10.1007/978-3-030-53199-7_8
ISBN: 978-3-030-53198-0 -
(2020): Knowledge Graphs and Big Data Processing Chapter 9 Survey on Big Data Applications, Janev, V., Graux, D., Jabeen, H., Sallinger, E. (eds) Knowledge Graphs and Big Data Processing. Lecture Notes in Computer Science(), vol 12072.
DOI: https://doi.org/10.1007/978-3-030-53199-7_9
ISBN: 978-3-030-53198-0 -
(2020): Bias in data-driven artificial intelligence systems—An introductory survey, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery.
DOI: https://doi.org/10.1002/widm.1356 -
(2020): FunMap: Efficient Execution of Functional Mappings for Scaled-Up Knowledge Graph Creation, ISWC 2020.
DOI: https://doi.org/10.1007/978-3-030-62419-4_16
Publikationen 2019
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(2019): Summarizing Entity Temporal Evolution in Knowledge Graphs, WWW (Companion Volume) 2019.
DOI: https://doi.org/10.1145/3308560.3316521 -
(2019): The FAIR TRADE Framework for Assessing Decentralised Data Solutions. pp. 823-839, WWW (Companion Volume) 2019.
DOI: https://doi.org/10.1145/3308560.3317072 -
(2019): FALCON: An Entity and Relation Linking Framework over DBpedia. pp. 823-839, WWW (Companion Volume) 2019.
DOI: https://doi.org/10.15488/9827 -
(2019): What Are the Parameters that Affect the Construction of a Knowledge Graph? pp. 695-713, OTM Conferences 2019.
DOI: https://doi.org/10.1007/978-3-030-33246-4_43 -
(2019): MapSDI: A Scaled-Up Semantic Data Integration Framework for Knowledge Graph Creation. pp. 58-75, OTM Conferences 2019.
DOI: https://doi.org/10.48550/arXiv.1909.01032 -
(2019): Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text. pp. 2336-2346., NAACL-HLT (1) 2019.
DOI: http://dx.doi.org/10.18653/v1/N19-1243 -
(2019): Ranking Knowledge Graphs By Capturing Knowledge about Languages and Labels. pp. 21-28, K-CAP 2019.
DOI: https://doi.org/10.1145/3360901.3364443 -
(2019): Awais Manzoor Bajwa, Diego Collarana, Maria-Esther Vidal, SEMANTiCS 2019
DOI: https://doi.org/10.1007/978-3-030-33220-4_18 -
(2019): Semantic Representation of Scientific Publications. pp. 375-379., TPDL 2019.
DOI: https://doi.org/10.1007/978-3-030-30760-8_37 -
(2019): Ontario: Federated Query Processing Against a Semantic Data Lake, DEXA (1) 2019.
DOI: https://doi.org/10.1007/978-3-030-27615-7_29 -
(2019): PURE: A Privacy Aware Rule-Based Framework over Knowledge Graphs, DEXA (1) 2019
DOI: https://doi.org/10.1007/978-3-030-27615-7_15 -
(2019): COMET: A Contextualized Molecule-Based Matching Technique, DEXA (1) 2019
DOI: https://doi.org/10.1007/978-3-030-27615-7_13 -
(2019): Semantic Data Integration Techniques for Transforming Big Biomedical Data into Actionable Knowledge, CBMS 2019.
DOI: https://doi.org/10.1109/CBMS.2019.00116 -
(2019): iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine, CBMS 2019.
DOI: https://doi.org/10.1109/CBMS.2019.00032 -
(2019): Managing the evolution and preservation of the data web, J. Web Semantics.
DOI: https://doi.org/10.1016/j.websem.2018.12.011 -
(2019): Evaluation of metadata representations in RDF stores, Semantic Web 10(2).
DOI: http://dx.doi.org/10.3233/SW-180307 -
(2019): Transforming Heterogeneous Data into Knowledge for Personalized Treatments - A Use Case, Datenbank-Spektrum 19(2).
DOI: https://doi.org/10.1007/s13222-019-00312-z -
(2019): Semantic Data Integration of Big Biomedical Data for Supporting Personalised Medicine, CURRENT TRENDS IN SEMANTIC WEB TECHNOLOGIES: THEORY AND PRACTICE.
DOI: http://dx.doi.org/10.1007/978-3-030-06149-4_2 -
(2019): When humans and machines collaborate: cross-lingual label editing in wikidata, OpenSym 2019.
DOI: http://dx.doi.org/10.1145/3306446.3340826 -
(2019): Managing the evolution and preservation of the data web, Journal of Web Semantics.
DOI: https://doi.org/10.1016/j.websem.2018.12.011
Prof. Dr. Maria Esther Vidal Serodio
Professorinnen und Professoren