A5070504151- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Data Quality and Management
- Natural Language Processing Techniques
- Graph Theory and Algorithms
- Web Data Mining and Analysis
- Biomedical Text Mining and Ontologies
- Advanced Graph Neural Networks
- Service-Oriented Architecture and Web Services
- Data Management and Algorithms
- Topic Modeling
- Scientific Computing and Data Management
- Algorithms and Data Compression
- Library Science and Information Systems
- Wikis in Education and Collaboration
- Caching and Content Delivery
- Big Data Technologies and Applications
- Peer-to-Peer Network Technologies
- Genomics and Phylogenetic Studies
- Digital Rights Management and Security
- Network Packet Processing and Optimization
- Radiomics and Machine Learning in Medical Imaging
- Diabetic Foot Ulcer Assessment and Management
- Balance, Gait, and Falls Prevention
- Advanced Image and Video Retrieval Techniques
Millennium Institute for Integrative Biology
2020-2024
University of Chile
2015-2024
Klinikum Ludwigshafen
2013-2024
Shanghai Jiao Tong University
2020-2021
Paderborn University
2020-2021
Leipzig University
2021
Institute of Materials Finishing
2019-2020
Ollscoil na Gaillimhe – University of Galway
2005-2019
Berufsgenossenschaftliche Unfallklinik Ludwigshafen
2019
University Hospital Heidelberg
2014
We provide a comprehensive survey of the research literature that applies Information Extraction techniques in Semantic Web setting.Works intersection these two areas can be seen from overlapping perspectives: using resources (languages/ontologies/knowledge-bases/tools) to improve Extraction, and/or populate Web.In more detail, we focus on extraction and linking three elements: entities, concepts relations.Extraction involves identifying (textual) mentions referring such elements given...
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry academia. Knowledge graphs are founded on the
Reliably processing and interlinking medical information has been recognized as a critical foundation to the digital transformation of workflows, despite development ontologies, optimization these major bottleneck medicine. The advent large language models brought great excitement, maybe solution medicines' 'communication problem' is in sight, but how can known weaknesses models, such hallucination non-determinism, be tempered? Retrieval Augmented Generation, particularly through knowledge...
The tables embedded in Wikipedia articles contain rich, semi-structured encyclopaedic content. However, the cumulative content of these cannot be queried against. We thus propose methods to recover semantics and, particular, extract facts from them form RDF triples. Our core method uses an existing Linked Data knowledge-base find pre-existing relations between entities tables, suggesting same as holding for other analogous columns on different rows. that such approach extracts triples...
In this article the authors discuss challenges of performing reasoning on large scale RDF datasets from Web. Using ter-Horst’s pD* fragment OWL as a base, compose rule-based framework for application to web data: they argue their decisions using observations undesirable examples taken directly The further temper through consideration “authoritative sources” which counter-acts an observed behaviour term “ontology hijacking”: new ontologies published Web re-defining semantics existing entities...