Internationale Journale, Konferenzen und Workshops (peer-reviewed), sowie Monographie
Publikationen 2025
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(2025): Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data Management, Demo Track at WSDM 2025 Weitere Informationen
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(2025): Integrating Knowledge Graphs with Symbolic AI: The Path to Interpretable Hybrid AI Systems in Medicine, Journal of Web Semantics
DOI: https://doi.org/10.1016/j.websem.2024.100856 -
(2025): HyKG-CF: A Hybrid Approach for Counterfactual Prediction using Domain Knowledge, The ACM Web Search and Data Mining (WSDM) 2025
DOI: https://doi.org/10.1145/3701551.3708813 -
(2025): Towards Interpretable Hybrid AI: Integrating Knowledge Graphs and Symbolic Reasoning in Medicine, IEEE Access Weitere Informationen
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(2025): BioLinkerAI: Capturing Knowledge using LLMs to Enhance Biomedical Entity Linking, WISE 2024 Weitere Informationen
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(2025): SemMatch: Semantics-Aware Matching for Causal Inference over Knowledge Graphs, WISE 2024 Weitere Informationen
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(2025): Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGs, WSDM '25 Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining
DOI: https://doi.org/10.1145/3701551.3708814 -
(2025): BioLinkerAI: Leveraging LLMs to Improve Biomedical Entity Linking and Knowledge Capture, WSDM '25 Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining
DOI: https://doi.org/10.1145/3701551.3708812
Publikationen 2024
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(2024): NSSC: a neuro-symbolic AI system for enhancing accuracy of named entity recognition and linking from oncologic clinical notes, Med Biol Eng Comput (2024) Weitere Informationen
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(2024): A lung cancer diagnosis and treatment dataset with geno- and phenotypical characteristics of the patient., Data in Brief. Weitere Informationen
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(2024): FedORKG: Accessing Federations of Open Research Knowledge Graphs, Proceedings of the 1. NFDI4Energy Conference
DOI: https://doi.org/10.5281/zenodo.10591442 -
(2024): The Leibniz Data Manager: Supporting Researchers in the Lifecycle of Research Data, Proceedings of the 1. NFDI4Energy Conference
DOI: https://doi.org/10.5281/zenodo.10610501 -
(2024): Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study., CoRR
DOI: https://doi.org/10.48550/arXiv.2402.05571 -
(2024): Cooperative Information Systems - 29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30 - November 3, 2023, Proceedings., Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-46846-9 -
(2024): A computational framework based on the dynamic pipeline approach, Journal of Logical and Algebraic Methods in Programming Weitere Informationen
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(2024): Semantically Describing Predictive Models for Interpretable Insights into Lung Cancer Relapse, SEMANTICS 2024 Weitere Informationen
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(2024): CauseKG: A Framework Enhancing Causal Inference With Implicit Knowledge Deduced From Knowledge Graphs, IEEE Access
DOI: http://dx.doi.org/10.1109/ACCESS.2024.3395134 -
(2024): Comparison Between Graph Databases and RDF Engines for Modelling Epidemiological Investigation of Nosocomial Infections, BIOSTEC (2), Volume 2, Issue 1
DOI: http://dx.doi.org/10.5220/0012319900003657 -
(2024): Tracing the Impact of Bias in Link Prediction, SAC2024, 1626-1633
DOI: https://doi.org/10.1145/3605098.3635912 -
(2024): KGSaw: One Size Does Not Fit All- Planning Methods for Data Fragmentation for Efficiently Creating Knowledge Graphs, SAC2024, 1668-1670
DOI: https://doi.org/10.1145/3605098.3636186 -
(2024): Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines, IEEE Access journal
DOI: https://doi.org/10.1109/ACCESS.2024.3427388 -
(2024): Hybrid AI Approach for Counterfactual Prediction over Knowledge Graphs for Personal Healthcare, KDD-AIDSH 2024
DOI: http://dx.doi.org/10.13140/RG.2.2.15682.18889 -
(2024): Articulation Work and Tinkering for Fairness in Machine Learning, The 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing
DOI: https://doi.org/10.48550/arXiv.2407.16496 -
(2024): PALADIN: A process-based constraint language for data validation, Information Fusion, Volume 112, 102557
DOI: https://doi.org/10.1016/j.inffus.2024.102557 -
(2024): Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment. Chapter 15 Monitoring and Decision Support in Treatment Modalities for Lung Cancer, Boston-Delft: now publishers
DOI: http://dx.doi.org/10.1561/9781638282372 -
(2024): VISE: Validated and Invalidated Symbolic Explanations for Knowledge Graph Integrity, EXPLIMED@ECAI. EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR THE MEDICAL DOMAIN Weitere Informationen
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(2024): Leveraging Ontologies to Document Bias in Data, AEQUITAS@ECAI2024
DOI: https://doi.org/10.48550/arXiv.2407.00509 -
(2024): Are Knowledge Graphs Ready for the Real World? Challenges and Perspective (Dagstuhl Seminar 24061), Dagstuhl Reports 14(2): 1-70 (2024)
DOI: https://doi.org/10.4230/DagRep.14.2.1 -
(2024): Results for Knowledge Graph Creation Challenge 2024: SDM-RDFizer, KGCW@ESWC 2024 Weitere Informationen
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(2024): Comparison Between Graph Databases and RDF Engines for Modelling Epidemiological Investigation of Nosocomial Infections, BIOSTEC (2) 2024: 23-36
DOI: http://dx.doi.org/10.5220/0012319900003657 -
(2024): Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines, IEEE Access 12: 96821-96847
DOI: http://dx.doi.org/10.1109/ACCESS.2024.3427388 -
(2024): Completing Predicates Based on Alignment Rules from Knowledge Graphs, DEXA 2024
DOI: http://dx.doi.org/10.1007/978-3-031-68309-1_5 -
(2024): Discovering Relationships Among Properties, Wikidata Knowledge Graph @DAWAK 2024
DOI: https://doi.org/10.1007/978-3-031-68323-7_35 -
(2024): Towards FAIR Data in Energy System Research: Industry and Academia Perspectives, DaMaLOS 2024 @ ESWC
DOI: http://dx.doi.org/10.4126/FRL01-006474025 -
(2024): Caving Knowledge Graphs in Latent Space with the Similarity Group, ECAI 2024 Weitere Informationen
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(2024): Family history of cancer and lung cancer: Utility of big data and artificial intelligence for exploring the role of genetic risk, Lung Cancer, Volume 195, 107920
DOI: https://doi.org/10.1016/j.lungcan.2024.107920
Publikationen 2023
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(2023): SHACL-ACL: Access Control with SHACL, The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023, pp. 22-26
DOI: https://doi.org/10.1007/978-3-031-43458-7_4 -
(2023): Semantic and Efficient Symbolic Learning over Knowledge Graphs, The Semantic Web: ESWC 2023 Satellite Events, pp. 244-254
DOI: https://doi.org/10.1007/978-3-031-43458-7_43 -
(2023): Mining Symbolic Rules To Explain Lung Cancer Treatments, The Semantic Web: ESWC 2023 Satellite Events, pp. 69-74
DOI: https://doi.org/10.1007/978-3-031-43458-7_13 -
(2023): InterpretME: A Tool for Interpretations of Machine Learning Models Over Knowledge Graphs, Semantic Web Journal in the Special Issue of Tools/System Report Weitere Informationen
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(2023): Enhancing Interpretability of Machine Learning Models over Knowledge Graphs Weitere Informationen
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(2023): SPaRKLE : Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning, Proceedings of the 12th Knowledge Capture Conference, pp 44-55, K-CAP '23.
DOI: https://doi.org/10.1145/3587259.3627547 -
(2023): Empowering the SDM-RDFizer Tool for Scaling Up to Complex Knowledge Graph Creation Pipelines, Semantic Web Journal Weitere Informationen
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(2023): Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination, CoRR
DOI: https://doi.org/10.48550/arXiv.2310.19503 -
(2023): Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB, 2023), CEUR Workshop Proceedings Weitere Informationen
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(2023): Joint Proceedings of the QuWeDa and MEPDaW 2023: 7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs and 9th Workshop on Managing the Evolution and Preservation of the Data Web, CEUR Workshop Proceedings Weitere Informationen
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(2023): Trusting Decentralised Knowledge Graphs and Web Data at the Web Conference, WWW (Companion Volume) 2023, pp. 1422-1423.
DOI: https://doi.org/10.1145/3543873.3589756 -
(2023): Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact., K-CAP '23. Proceedings of the 12th Knowledge Capture Conference, pp. 241-249
DOI: https://doi.org/10.1145/3587259.3627558 -
(2023): Can Knowledge Graphs Contribute to Personalized Therapies?, Proceedings of the 6th Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics, ESWC 2023. Weitere Informationen
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(2023): SAP-KG: Synonym Predicate Analyzer Across Multiple Knowledge Graphs, The Semantic Web Satellite Events, ESWC 2023.
DOI: https://doi.org/10.1007/978-3-031-43458-7_9 -
(2023): Knowledge Graph Creation Challenge: Results for SDM-RDFizer., Proceedings of the 4th International Workshop on Knowledge Graph Construction co-located with 20th Extended Semantic Web Conference, ESWC 2023. Weitere Informationen
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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): Challenges for Healthcare Data Analytics Over Knowledge Graphs, Trans. Large Scale Data Knowl. Centered Syst.
DOI: https://doi.org/10.1007/978-3-662-68014-8_4 -
(2023): Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts, Semantic Web, pp. 873--892
DOI: https://doi.org/10.3233/SW-223269 -
(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
