Ontology Learning for the Semantic Web (The Kluwer International Series in Engineering and Computer Science, Volume 665)
Alexander MaedcheISBN: 0792376560;
Foreword by R. Studer, University of Karlsruhe Recently, the vision of a semantic web in which background knowledge is stored through the use of machine-processable metadata has been attained. Ontologies have shown to be the right answer for structuringbackground knowledge by providing a formal and complex vocabulary of a particular domain that is shared by a group of people. The manual building of ontologies is a tedious task, which can easily result in a knowledge acquisition bottleneck. However, thesuccess of the semantic web strongly depends on the proliferation of ontologies, which requires that the engineering of ontologies be completed quickly and easily. Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the...
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