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Searching of Web Data Using Ontological Matching

Shweta Shrivastava, Dr. Sanjay Agrawal, , ,
AISECT University , Bhopal Ph.D. scholar Computer Sc. Department,
:10.22362/ijcert/2017/v4/i7/xxxx [UNDER PROCESS]

While phenomenally successful regarding size and number of users, today's World Wide Web is fundamentally a relatively straightforward artifact. Web content consists mainly of distributed hypertext and hypermedia and is accessed via a combination of keyword based search and link navigation. The explosion in both the range and quantity of web content has, however, highlighted some serious shortcomings in the hypertext paradigm. Every year, the number of documents on the Internet is increasing, presenting the correct information at the right time in the most appropriate form is important, and it results in better browsing experience for users. To deal with this issue, ontology’s are proposed for knowledge representation, which is nowadays the backbone of semantic web applications. This is a challenging task as it requires complex queries to be answered with only a few keywords. Furthermore, it should allow the inferred knowledge to be retrieved easily and provide a ranking mechanism to reflect semantics and ontological importance. Proposed paper gives. A technique to improve the efficiency of matching web data with background knowledge.It finds correspondences between semantically related entities of ontology.

Shweta Shrivastava , Dr. Sanjay Agrawal. (2017). Searching of Web Data Using Ontological Matching. International Journal of Computer Engineering In Research Trends , 4(7), 296-300. Retrieved from

Keywords : Semantic Web, Ontology, Information Retrieval, inferred knowledge, ranking mechanism, Web Search.

[1]  P Shvaiko, J Euzenat Ontology Matching: State of the Art and Future Challenges IEEE Transaction on Knowledge and Data Engineering, Vol. 25, No1. January 2013 Page(s): 158-176
[2]  Farrag, Tamer Ahmed, Saleh, Ahmed Ibrahim; Ali, Hesham Arafat Toward SWSs Discovery: Mapping from WSDL to OWL-S Based on Ontology Search and Standardization Engine IEEE Transaction on Knowledge and Data Engineering, Vol. 25, No5.  May 2013pages 1135-1147.
[3] A Telang, C Li, S Chakravarthy One Size Does Not Fit All: Toward User- and Query-Dependent Ranking for Web Databases IEEE transaction on knowledge and data engineering, vol 24, no9, September 2012 pages 1671 - 1685.
[4]  P Kremen, Z Kouba Ontology-Driven Information System Design IEEE Transaction on System, Man and Cybernetics-PartC: Applications and Reviewes, Vol. 42, No. 3, May 2012 pages 334 – 344.
[5] V Milea, F Frasincar, U Kaymak town: A Temporal Web Ontology Language IEEE Transaction on System, Man, and Cybernetics-PartB: Cybernetics, Vol. 42, No. 1, February 2012 pages 268 - 281.
[6] P Panov, S Dzeroski, L Soldatova OntoDM: An Ontology of Data Mining 2008 IEEE International Conference on Data Mining Workshops Page(s): 752 - 760.
  [7]  Wong, W Liu, M Bennamoun Ontology Learning from Text: A Look-Back and into the Future ACM Computing Surveys, Vol. 44, No. 4, Article 20, Publication date: August 2012.
[8]  Dimitrios A. Koutsomitropoulos, Ricardo Borillo Domenech, Georgia D. Solomou“A Structured Semantic Query Interface for Reasoning Based Search and Retrieval “The Semantic Web: Research and Applications Lecture Notes in Computer Sc. Volume 6643,2011,pp17-31.
[9]  J Zhai, K Zhou - Information Science and Management “Semantic Retrieval for Sports Information Based on Ontology and SPARQL” Published in:Information Science and Management Engineering (ISME), 2010 International Conference of  (Volume:1 )Date of Conference:7-8 Aug. 2010 Page(s): 395 - 398 .
[10]  Z Li, YL Zheng, SN Li, WW Liang  “A Knowledge Sharing Convergence Platform Based on OWL-S and Semantic         Relations” Published in Software Engineering (WCSE), 2010 Second World Congress on  (Volume:1 ) 19-20 Dec.  2010 Page(s): 65 - 68 .
[11]G. Shiva Prasad , N.V. Subba Reddy, U,Dinesh Acharya “Knowledge Discovery from Web Usage Data: A Survey of Web Usage Pre processing Techniques”  Information Processing and Management Communications in Computer and Information Science Volume 70, 2010, pp 505-507. 
[12]J. Euzenat and P. Shvaiko, Ontology Matching. Springer, 2007.
[13]F. Giunchiglia, M. Yatskevich, and P. Shvaiko, “Semantic Matching: Algorithms and Implementation,” J. on Data Semantics, vol. 9, pp. 1-38, 2007.
[14] J. Cardoso, Semantic Web Services: Theory, Tools, and Applications Idea Group, Inc., 2007.Web Services Description Language (WSDL), W3C Note, HTTP://, 2001.
[15]Web Ontology Language for Services (OWL-S), W3C Member Submission,, 2004.
[16]D. Martin, M. Burstein, D. Mcdermott, S.Mcilraith, M. Paolucci, K.Sycara, D.L. Mcguinness, E. Sirin, and N. Srinivasan, “Bringing Semantics to Web Services with OWL-S” World Wide Web, vol. 10, no. 3, pp. 243-277, Sept. 2007.
[17] T.A. Farrag and H.A. Ali, “A Cluster-Based Semantic Web Services Discovery and Classification,” Proc. ACME Second Int’l Conf. Advanced Computer Theory and Eng., pp. 1825-1834, 2009.
[18]B. Di Martino, “Semantic Web Services Discovery Based on Structural Ontology Matching,” Int’l J. Web and Grid Services, vol. 5, no. 1, pp. 46-65, 2009.
[19]OWL,, 2004.
[20]S Bhattacharjee, A Dwivedi, RR Prasad “Ontology based spatial clustering framework for implicit knowledge discovery” India Conference (INDICON), 2012 Annual IEEE 9 Dec. 2012 Page(s): 561 - 566 
[21]S. Chaudhuri, G. Das, V. Hristidis, and G. Weikum, “Probabilistic Ranking of Database Query Results,” Proc. 30th Int’l Conf. Very Large Data Bases (VLDB), pp. 888-899, 2004.
[22[C. Dwork, R. Kumar, M. Naor, and D. Sivakumar, “Rank Aggregation Methods for the Web,” Proc. Int’l Conf. World Wide Web (WWW), pp. 613-622, 2001.
[23]Yiyao Lu, Hai He, Hongkun Zhao, Weiyi Meng, Member, IEEE, and Clement Yu, Senior Member, IEEE Annotating Search Results from Web Databases IEEE Transaction on Knowledge and Data Engineering , Vol 25, No 3, March 2013.
[24] G Singh, V Jain, M Singh “Ontology development using Hozo and Semantic analysis for information retrieval in Semantic Web “ Image Information Processing (ICIIP), 2013 IEEE Second International Conference on 9-11 Dec. 2013 Page(s): 113 - 118 .
[25] Z Yun, S Huayou, Q Hengnian “A Semantic Web Services discovery mechanism design and implementation based on OWL Ontology “ Educational and Network Technology (ICENT), 2010 International Conference on 25-27 June 2010 Page(s): 139 - 143.
[26] Myint Myint Thein , Soe Lai Phyue , Mie Mie Su Thw,” Semantic Web Information Retrieval in XML by mapping to RDF schema “ Published in Networking and Information Technology (ICNIT), 2010 International Conference on 11-12 June 2010 Page(s): 500 - 503.
[27]T Bhatia – IJCST “ Link Analysis Algorithms For Web Mining” IJCT  vol 2 issue 2 June 2011
 [28]G Kumar, N Duhan, AK Sharma  “Page ranking based on a number of visits of links of Web page “ Computer and Communication Technology (ICCCT), 2011 2nd International Conference on 15-17 Sept. 2011 Page(s): 11 - 14 .
[29]J.R.G. Pulido a, M.A.G. Ruiz b, R. Herrera c, E. Cabello d, S. Legrand e, D. Elliman Ontology languages for the semantic web: A never completely updated review 0950-7051/$ - see front matter © 2006 Elsevier B.V.
[30]. B.ASWINI, B.RANJITH,” Robust Model-Based Data Management”, International Journal of Computer Engineering in Research Trends, Volume 1, December 2014, pp 453-460. 

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