Using a Natural Language Understanding System to Generate Semantic Web Content

Simple item page
dc.contributor.authorJava, Akshay
dc.contributor.authorNirenburg, Sergei
dc.contributor.authorMcShane, Marjorie
dc.contributor.authorFinin, Tim
dc.contributor.authorEnglish, Jesse
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2018-11-29T18:15:12Z
dc.date.available2018-11-29T18:15:12Z
dc.date.issued2007-11-01
dc.descriptionInternational Journal on Semantic Web and Information Systemsen_US
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 fifteen years, uses a specially constructed NLP-oriented ontology and an ontologicalsemantic 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's representation 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.urihttp://www.cogsci.rpi.edu/~mcsham2/MargePapers/Java_Using_2007.pdfen_US
dc.format.extent28 pagesen_US
dc.genrejournal articles preprintsen_US
dc.identifierdoi:10.13016/M2VT1GT70
dc.identifier.citationAkshay Java, Sergei Nirenburg, Marjorie McShane, Tim Finin, Jesse English, and Anupam Joshi, Using a Natural Language Understanding System to Generate Semantic Web Content, 50 Int’l Journal on Semantic Web & Information Systems, 3(4), 50-74, October-December 2007, http://www.cogsci.rpi.edu/~mcsham2/MargePapers/Java_Using_2007.pdfen_US
dc.identifier.urihttp://hdl.handle.net/11603/12128
dc.language.isoen_USen_US
dc.publisherIGI Globalen_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.rights© IGI Global
dc.subjectsemantic weben_US
dc.subjectnatural language processingen_US
dc.subjectinformation extractionen_US
dc.subjecttext meaning representations (TMRs)en_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleUsing a Natural Language Understanding System to Generate Semantic Web Contenten_US
dc.typeTexten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
373.pd.pdf
Size:
1.01 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection
UMBC Student Collection