A constraint-based method for semantic mapping from natural language questions to OWL

Gao Mingxia*, Jiming LIU, Zhong Ning, Chen Furong

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

The goal of an on-line ontology-based question-answering system is to automatically derive answers from ontology knowledge bases without demanding additional information or intervention from users. This paper focuses on the problem of automatically mapping the tokens of a question into OWL elements, as an important step towards the further construction of answers. This problem can be essentially viewed as that of question understanding. The basic ideas underlying our method can be stated as follows: first we translate the tokens of a question as well as their syntactical and semantic relations (as in NLP) into constrained question variables and functions, and thereafter, we utilize an optimization-based assigning mechanism to substitute the question variables with the corresponding constructs in OWL knowledge bases. In the paper, we will discuss our preliminary studies using the questions collected from, and the knowledge base built at, the International WIC Institute (WICI).

Original languageEnglish
Title of host publicationProceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007
Pages349-353
Number of pages5
DOIs
Publication statusPublished - 2007
Event1st IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007 - Honolulu, HI, United States
Duration: 1 Apr 20075 Apr 2007

Publication series

NameProceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007

Conference

Conference1st IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007
Country/TerritoryUnited States
CityHonolulu, HI
Period1/04/075/04/07

Scopus Subject Areas

  • Information Systems
  • Signal Processing
  • Software
  • Theoretical Computer Science

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