Titlebook: Semantic Web; Revolutionizing Know Christopher J. O. Baker,Kei-Hoi Cheung Book 2007 Springer-Verlag US 2007 Evolution.Radiologieinformation

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Book 2007e capabilities continue to help the speed and the flow of information across networked computers, there remains a major problem for the human user to keep up with the rapid expansion of the Web information space. Although there is plenty of room for computers to help humans to discover, navigate, an

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eb and Life Sciences.Gives examples/scenarios illustrating dThe rapid growth of the Web has led to the proliferation of information sources and content accessible via the Internet. While improvements in hardware capabilities continue to help the speed and the flow of information across networked com

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The Evaluation of Ontologies to transform ontology engineering into a true scientific and engineering discipline. This chapter discusses issues and problems in ontology evaluation, describes some current strategies, and suggests some approaches that might be useful in the future.

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Techniques for Ontology Visualizationmentation. There is much contemporary research in the area of OVT, yet the focus directed toward VOL is minimal. By using a fragment of the gene ontology as an example use case, this article surveys the field of OVT by illustrating the different visual effects of various OVT applications. The same g

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Can Semantic Web Technologies Enable Translational Medicine?ned from preliminary human experimentation can be used to refine our understanding of the biological principles underpinning the heterogeneity of human disease and polymorphism(s). Informatics in general and semantic web technologies in particular, has a big role to play in making this a reality. We

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Ontology Design for Biomedical Text Miningon of common NLP tasks with an ontology, including technical aspects of ontology deployment in a text mining framework. A concrete application example—text mining of enzyme mutations—is provided to motivate and illustrate these points.

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Book 2007clude the Uniform Resource Identifiers (URI) for identifying objects in the Web space as well as Resource Description Framework (RDF) and Web Ontology Language (OWL) for encoding knowledge in the form of standard machine-readable ontologies. The goal is to migrate from the syntactic Web of documents