Automatic creation and simplified querying of semantic web content: an approach based on information-extraction ontologies

  • Authors:
  • Yihong Ding;David W. Embley;Stephen W. Liddle

  • Affiliations:
  • Department of Computer Science, Brigham Young Univeristy, Provo, Utah;Department of Computer Science, Brigham Young Univeristy, Provo, Utah;Information Systems Department, Brigham Young Univeristy, Provo, Utah

  • Venue:
  • ASWC'06 Proceedings of the First Asian conference on The Semantic Web
  • Year:
  • 2006

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Abstract

The semantic web represents a major advance in web utility, but it is currently difficult to create semantic-web content because pages must be semantically annotated through processes that are mostly manual and require a high degree of engineering skill Furthermore, users need an effective way to query the semantic web, but any burden placed on users to learn a query language is unlikely to garner sufficient user support and interest Unfortunately, both the creation and use of semantic-web pages are difficult, and these are precisely the processes that must be made simple in order for the semantic web to truly succeed We propose using information-extraction ontologies to handle both of these challenges In this paper we show how a successful ontology-based data-extraction technique can (1) automatically generate semantic annotations for ordinary web pages, and (2) support free-form, textual queries that will be relatively simple for end users to write.