Advances in Semantic Web

The Semantic Web has the ultimate goal of making a machine understand Internet data. To enable the encoding of semantics with the data, well-known technologies are used such as RDF (Resource Description Framework) and OWL (Web Ontology Language). These technologies formally represent the meaning involved in information. For example, ontology can describe concepts, relationships between things, and categories of things. These embedded semantics offer significant advantages such as reasoning over data and dealing with heterogeneous data sources.

Components of the Book:
  • Chapter 1
    Developing a healthcare dataset information resource (DIR) based on Semantic Web
  • Chapter 2
    Semantic querying of relational data for clinical intelligence: a semantic web services-based approach
  • Chapter 3
    A semantic web framework to integrate cancer omics data with biological knowledge
  • Chapter 4
    The Semantic Automated Discovery and Integration (SADI) Web service Design-Pattern, API and Reference Implementation
  • Chapter 5
    The 3rd DBCLS BioHackathon: improving life science data integration with Semantic Web technologies
  • Chapter 6
    Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study
  • Chapter 7
    BioUSeR: a semantic-based tool for retrieving Life Science web resources driven by text-rich user requirements
  • Chapter 8
    Semantic Web integration of Cheminformatics resources with the SADI framework
  • Chapter 9
    Clever generation of rich SPARQL queries from annotated relational schema: application to Semantic Web Service creation for biological databases
  • Chapter 10
    Too many tags spoil the metadata: investigating the knowledge management of scientific research with semantic web technologies
  • Chapter 11
    Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards
  • Chapter 12
    Experiments using Semantic Web technologies to connect IUGONET, ESPAS and GFZ ISDC data portals
  • Chapter 13
    COEUS: “semantic web in a box” for biomedical applications
  • Chapter 14
    Mimoza: web-based semantic zooming and navigation in metabolic networks
  • Chapter 15
    Using Semantic Web technology to support icd-11 textual definitions authoring
Readership: Students, academics, teachers and other people attending or interested in Semantic Web
Matthew E Holford, Interdepartmental Program in Computational Biology & Bioinformatics, Yale University, New Haven, USA

Kei-Hoi Cheung, Department of Computer Science, Yale University, New Haven, USA

Mingna Zheng, Department of Software and Information Systems, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, USA

Michael Krauthammer, Department of Pathology, Yale University, New Haven, USA

Todd King, University of California, Los Angeles, USA

Christopher G Chute, Department of Health Sciences Research, Mayo Clinic, Rochester, USA

and more...
This Book

248pp. Published December 2019

Scientific Research Publishing,Inc.,USA

Category:Computer Science & Communications

ISBN: 978-1-61896-812-8

(Hardcover) USD 109.00

ISBN: 978-1-61896-811-1

(Paperback) USD 89.00

Authors/Editors Price: 40% off
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