Using a Natural Language Understanding System to Generate Semantic Web Content

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dc.contributor.authorJava, Akshay
dc.contributor.authorNirenburg, Sergei
dc.contributor.authorMcShane, Marjorie
dc.contributor.authorEnglish, Jesse
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2018-12-10T18:40:19Z
dc.date.available2018-12-10T18:40:19Z
dc.date.issued2006-10-16
dc.description.abstractWe describe our research on automatically generating rich semantic annotations of text and making it available on the Semantic Web. In particular, we discuss the challenges involved in adapting the OntoSem natural language processing system for this purpose. OntoSem, an implementation of the theory of ontological semantics under continuous development for over 15 years, uses a specially constructed NLP-oriented ontology and an ontological-semantic lexicon to translate English text into a custom ontology-motivated knowledge representation language, the language of text meaning representations (TMRs). OntoSem concentrates on a variety of ambiguity resolution tasks as well as processing unexpected input and reference. To adapt OntoSem results to the Semantic Web, we developed a translation system, OntoSem2OWL, between the TMR language into the Semantic Web language OWL. We next used OntoSem and OntoSem2OWL to support SemNews, an experimental web service that monitors RSS news sources, processes the summaries of the news stories and publishes a structured representation of the meaning of the text in the news story.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/328/Using-a-Natural-Language-Understanding-System-to-Generate-Semantic-Web-Contenten_US
dc.format.extent26 pagesen_US
dc.genretechnical reportsen_US
dc.identifierdoi:10.13016/M29C6S495
dc.identifier.urihttp://hdl.handle.net/11603/12206
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectnatural language processingen_US
dc.subjectontosemen_US
dc.subjectsemantic weben_US
dc.subjectsemnewsen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleUsing a Natural Language Understanding System to Generate Semantic Web Contenten_US
dc.typeTexten_US

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