Text understanding agents and the Semantic Web

dc.contributor.authorJava, Akshay
dc.contributor.authorFinin, Tim
dc.contributor.authorNirenburg, Sergei
dc.date.accessioned2018-12-07T20:05:04Z
dc.date.available2018-12-07T20:05:04Z
dc.date.issued2006-01-04
dc.descriptionProceedings of the 39th Hawaii International Conference on System Sciencesen
dc.description.abstractWe discuss the challenges involved in adapting the OntoSem natural language processing system to the Web. One set of tasks involves processing Web documents, translating their computed meaning representations from the OntoSem's native KR language into the Semantic Web language OWL, and publishing the results as Web pages and RSS feeds. Another set of tasks works in reverse -- querying the Web for facts needed by OntoSem, translating them from OWL into OntoSem's native KR language and importing the results. A central problem underlying both sets of tasks is that of translating knowledge between OntoSem's KR language and ontologies and those of the Semantic Web. OntoSem2OWL has been developed as a translation system to support these translations. We describe SemNews, an implemented prototype application that demonstrates the process. It monitors RSS feeds of news stories, applies OntoSem to understand the text, and exports the computed facts back to the Web in OWL.en
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/260/Text-understanding-agents-and-the-Semantic-Weben
dc.format.extent10 pagesen
dc.genreconference papers and proceedings preprintsen
dc.identifierdoi:10.13016/M2W950S20
dc.identifier.urihttp://hdl.handle.net/11603/12187
dc.language.isoenen
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
dc.subjectontosemen
dc.subjectsemantic weben
dc.subjectsemnewsen
dc.subjectweben
dc.subjectUMBC Ebiquity Research Groupen
dc.titleText understanding agents and the Semantic Weben
dc.typeTexten

Files

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description: