DocumentCode :
1645151
Title :
Tourist activity extraction from text
Author :
Dewadkar, Dnyaneshar ; Raisingani, Bharat ; Chandran, Anandkumar ; Upganlawar, Aniket
Author_Institution :
VE.Eng. Dept., Verchaska Infotech Private Ltd., Mumbai, India
fYear :
2013
Firstpage :
1560
Lastpage :
1562
Abstract :
Easy information sharing and open resources on the web motivate information extraction in growing sectors like the Tourism industry. Tourism data resources are precompiled, focused on specialized services for tourists. This paper presents an uncomplicated definition of `Activity´, provides methods to extract tourist activities as `Entities´, and gives case studies with certain encountered limitations. It also explains the simple and fast prototyping of an extraction method, based on an entity from the `tourism´ concept corpus. The extraction method uses `Wordnet´ as a knowledge base.
Keywords :
Internet; information retrieval; text analysis; travel industry; Wordnet; entity; information extraction; information sharing; knowledge base; open resources; text analysis; tourism concept corpus; tourism data resources; tourism industry; tourist activity extraction; Computer aided software engineering; Context; Data mining; Industries; Knowledge based systems; Tagging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on
Conference_Location :
Mysore
Print_ISBN :
978-1-4799-2432-5
Type :
conf
DOI :
10.1109/ICACCI.2013.6637412
Filename :
6637412
Link To Document :
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