DocumentCode
169535
Title
Overview of knowledge extraction techniques in five question-answering systems
Author
Jebbor, Fatine ; Benhlima, Laila
Author_Institution
Dept. of Comput. Sci., Mohammed V-Agdal Univ., Rabat, Morocco
fYear
2014
fDate
7-8 May 2014
Firstpage
1
Lastpage
8
Abstract
Knowledge extraction is a complex process allowing the identification of previously unknown structures and potentially useful original information from big masses of data. Among its domains of application, we find the question answering systems. This article aims to provide an overview of five Q/A systems : IntelliServe, LaSIE, Quantum, SBLD and Watson. IntelliServe and Watson are commercial and the others are dedicated to the field of research. Each of these systems uses special techniques for the treatment of requests as well as for the extraction of the response.
Keywords
Big Data; question answering (information retrieval); IntelliServe system; LaSIE system; Q/A systems; SBLD system; Watson system; knowledge extraction technique; quantum system; question-answering systems; Companies; Ontologies; Pragmatics; Tin; Automatic answer; Bayesian classification; Knowledge extraction; Linked data; Ontologies; Regular expressions;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems: Theories and Applications (SITA-14), 2014 9th International Conference on
Conference_Location
Rabat
Print_ISBN
978-1-4799-3566-6
Type
conf
DOI
10.1109/SITA.2014.6847287
Filename
6847287
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