NDLI: A Constraint-based Method for Semantic Mapping from Natural Language Questions to OWL

Content Provider	IEEE Xplore Digital Library
Author	Mingxia Gao Jiming Liu Ning Zhong Furong Chen
Copyright Year	2007
Description	Author affiliation: Int. WIC Inst., Beijing Univ. of Technol. (Mingxia Gao; Jiming Liu; Ning Zhong)
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 discuss our preliminary studies using the questions collected from, and the knowledge base built at, the International WIC Institute (WICI).
Starting Page	349
Ending Page	353
File Size	249875
Page Count	5
File Format	PDF
ISBN	1424407052
DOI	10.1109/CIDM.2007.368895
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Computer science Dictionaries Databases Natural languages OWL Ontologies Data mining Computational intelligence Research and development
Content Type	Text
Resource Type	Article

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