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