With the onset of the semantic web, the problem of making semantic content effectively searchable for the general public emerges. Demanding an understanding of ontologies or familiarity with a new query language would likely frustrate semantic web users and prevent widespread success. Given this need, this thesis describes AskOntos, which is a system that uses extraction ontologies to convert conjunctive, free-form queries into structured queries for semantically annotated web pages. AskOntos then executes these structured queries and provides answers as tables of extracted values. In experiments conducted AskOntos was able to translate queries with a precision of 88% and a recall of 81%.
College and Department
Physical and Mathematical Sciences; Computer Science
BYU ScholarsArchive Citation
Vickers, Mark S., "Ontology-Based Free-Form Query Processing for the Semantic Web" (2006). All Theses and Dissertations. 475.
semantic web, queries, query processing, ontology, askontos, ontos