TY - GEN
T1 - A constraint-based method for semantic mapping from natural language questions to OWL
AU - Mingxia, Gao
AU - LIU, Jiming
AU - Ning, Zhong
AU - Furong, Chen
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=34548786332&partnerID=8YFLogxK
U2 - 10.1109/CIDM.2007.368895
DO - 10.1109/CIDM.2007.368895
M3 - Conference proceeding
AN - SCOPUS:34548786332
SN - 1424407052
SN - 9781424407057
T3 - Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007
SP - 349
EP - 353
BT - Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007
T2 - 1st IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007
Y2 - 1 April 2007 through 5 April 2007
ER -