Abstract
Currently search engines are using keyword based approach which becomes problematic when the user is not aware about the way to write query such that desirable results only appear because for that he must know the semantic concepts that are used in that particular domain in which he is interested. To overcome this problem, we introduced the concept of Semantic Web which is an extension of the current Web that allows the meaning of information to be precisely described in terms of well-defined vocabularies that are understood by people and computers. Ontology is one of the fundamental ingredients used in the semantic web infrastructure. This paper focuses on the problem of internet users who most of the time looks for the good hotels available beforehand whenever they plan any trip. At times they go for image search option to have a view of hotels in a particular location. But problem is user gets confused whether search results displayed online by currently available search engines are reliable or not. This paper aims to implement a tool which is based on Semantic Web for searching the images of hotels and displaying the results. Semantic web refines the search in such a way that only relevant images are returned. The crux is to develop ontology for various hotels along with their locations and the facilities they provide. User enters his query from an interface and corresponding SPARQL query is generated. This query with the help of JENA API is searched in the data present in Ontology.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Yong-Gui, W., Zhen, J.: Research on semantic web mining. In: 2010 International Conference on Computer Design And Appliations (ICCDA 2010), 978-1-4244-7164-5, IEEE (2010)
Huiping, J.: Information retrieval and semantic web, 2010 Technology (ICEIT 2010), 78-1-4244-8035-7/10 2010 IEEE V3-461
Kamran, S., Crestani, F.: Defining ontology by using users collaboration on social media, CSCW 2011, Hangzhou, China. ACM 978-1-4503-0556-3/11/03, 19–23 March 2011
Hyvönen, E., Styrman, A., Saarela, S.: Ontology based image retrieval, University of Helsinki, Department of Computer Science
Ahmad, W., Faisal, C.M.S.: Context based image search, 978-1-4577-0657-8/11/$26.00 © 2011 IEEE
Hasany, N., Selamat, M.H.: Answering user queries from hotel ontology for decision making, 978-1-4577-1481-8/11/$26.00 ©2011 IEEE 123
Cao, T.-D., Phan, T.-H., Nguyen, A.-D.: An ontology based approach to data representation and information search in smart tourist guide system, 978-0-7695-4567-7/11 $26.00 © 2011 IEEE. doi:10.1109/KSE.2011.33
Palaniammal, K. Indra Devi, M., Vijayalakshmi, S.: An unfangled approach to semantic search for E-tourism domain, 978-1-4673-1601-9/12/$31.00 ©2012 IEEE 130 ICRTIT-2012
Alice, P.S., Abirami, A.M., Askarunisa, A.: A semantic based approach to organize eLearning through efficient information retrieval for interview preparation, 978-1-4673-1601-9/12/$31.00 ©2012 IEEE ICRTIT-2012
Bast, H., Bäurle, F., Buchhold, B., Haussmann, E.: A case for semantic full-text search, JIWES’12 August 12 2012, Portland, OR, USA Copyright 2012 ACM 978-1-4503-1601-9/12/08…$15.00
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer India
About this paper
Cite this paper
Kohli, S., Arora, S. (2014). Domain Specific Search Engine Based on Semantic Web. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 259. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1768-8_20
Download citation
DOI: https://doi.org/10.1007/978-81-322-1768-8_20
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-1767-1
Online ISBN: 978-81-322-1768-8
eBook Packages: EngineeringEngineering (R0)