SemanticQA: web-based ontology-driven question answering

  • Authors:
  • Samir Tartir;Bobby McKnight;I. Budak Arpinar

  • Affiliations:
  • University of Georgia, Athens, GA;University of Georgia, Athens, GA;University of Georgia, Athens, GA

  • Venue:
  • Proceedings of the 2009 ACM symposium on Applied Computing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

The ability to ask specific question to the internet using natural language and receiving answers instead of documents is highly desired. Recent advancements in semantic web technologies make it possible to support such capability with more accuracy compared to existing non-semantic techniques. Using our expertise in ontology building and semantic search and discovery we designed an ontology-driven question answering system that extracts answers from web documents. This system processes natural language queries using a background ontology and finds possible answer(s) to the question from web documents.