CFP last date
20 May 2024
Reseach Article

Contextual Ontology: A Storage Tool for Context Extracted from Web Pages

by Nidhi Tyagi, Rahul Rishi, R. P. Agarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 7
Year of Publication: 2012
Authors: Nidhi Tyagi, Rahul Rishi, R. P. Agarwal
10.5120/8904-2933

Nidhi Tyagi, Rahul Rishi, R. P. Agarwal . Contextual Ontology: A Storage Tool for Context Extracted from Web Pages. International Journal of Computer Applications. 56, 7 ( October 2012), 30-34. DOI=10.5120/8904-2933

@article{ 10.5120/8904-2933,
author = { Nidhi Tyagi, Rahul Rishi, R. P. Agarwal },
title = { Contextual Ontology: A Storage Tool for Context Extracted from Web Pages },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 7 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number7/8904-2933/ },
doi = { 10.5120/8904-2933 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:58:13.845695+05:30
%A Nidhi Tyagi
%A Rahul Rishi
%A R. P. Agarwal
%T Contextual Ontology: A Storage Tool for Context Extracted from Web Pages
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 7
%P 30-34
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Contextual ontology helps in the knowledge-full indexing of documents, providing semantic structure to the document. The named entity and the associated keywords can be a clue to the contextual sense of the documents in the corpus. The proposed technique for the information retrieval creates the ecology of ontology which stores the ontological representation of the crawled documents. Further, the efficiency of ontology based indexing is enhanced as compared to the traditional key-word based retrieval system.

References
  1. Nidhi Tyagi , Rahul Rishi and R. P. Agarwal,"Semantic Structure Representation of HTML Document Suitable for Semantic Document Retrieval", International Journal of Computer Applications (0975 – 8887) Volume 46– No. 13, May 2012.
  2. L. Weihua, "Ontology supported intelligent information agent", proceeding IEEE Symp, on Intelligent Systems, pages383-387, IEEE,2002.
  3. LIOA Shou-yi and DAI Jin-hai, "Design and implementation of communication system in agent-based distributed simulation ", Simulation Journal of system, 18(4), 2006.
  4. A. K. Dey, et al. "A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context- Aware Applications", Human- computer Interaction Journal, Vol. 16(2-4), pp. 97-166, 2001.
  5. Tim Kindberg, et al. "People, Places, Things: Web Presence for The Real World", Technical Report HPL- 2000-16, HP Labs, 2000.
  6. Karen Henricksen, et al. "Modeling Context Information in Pervasive Computing Systems", Pervasive 2002.
  7. Anand Ranganathan, et al. "A Middleware for Context- Aware Agents in Ubiquitous Computing Environments",USENIX International Middleware Conference, 2002.
  8. Xiao Hang Wang, Da Qing Zhang, Tao Gu1,Hung Keng Pung "Ontology Based Context Modeling and Reasoning using OWL", Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004
  9. Nidhi Tyagi, Rahul Rishi and R. P. Agrawal," Context based Web Indexing for Storage of Relevant Web Pages", International Journal of Computer Applications (0975 – 8887) Volume 40– No. 3, February 2012.
  10. Parul Gupta and A. K. Sharma," Context based Indexing in Search Engines using Ontology", International Journal of Computer Applications,Volume 1 No. 14, pp 49-52, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Contextual Ontology indexer hyponyms