DocumentCode
467709
Title
Building Knowledge Base from Semi-Structured Data
Author
Liu, Xiao-Li ; Wu, Guo-Qing ; Yang, Min
Author_Institution
Wuhan Univ., Wuhan
Volume
2
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
839
Lastpage
843
Abstract
Semantic pattern is kind of template with semantic information, and it can be used to structurized a sentence. In this paper, semantic pattern based question and its corresponding answers are used as the data resource of knowledge base. The exact answer is extracted from plain text answer by matching of question and answer. Two kinds of matching methods and the experiment results are simple presented. Extracted exact answer and semantic pattern based question are composed of a structured information unit which can be inserted into knowledge base with the assistance of ontology. The disease ontology is studied for illustration. Our approach to knowledge base construction is concise and effective.
Keywords
data structures; knowledge acquisition; knowledge based systems; ontologies (artificial intelligence); answer matching; data resource; disease ontology; exact answer extraction; knowledge base construction; plain text answer; question matching; semantic pattern based question; semistructured data; sentence structuring; Books; Computer science; Cybernetics; Data mining; Diseases; Information analysis; Interference; Machine learning; Ontologies; Pattern analysis; Disease ontology; Knowledge extraction; Semantic pattern;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370259
Filename
4370259
Link To Document