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
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;
Conference_Titel :
Intelligent Systems: Theories and Applications (SITA-14), 2014 9th International Conference on
Conference_Location :
Rabat
Print_ISBN :
978-1-4799-3566-6
DOI :
10.1109/SITA.2014.6847287
