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Review Paper on Topic Detection using Ontology

Published on April 2016 by Neha S. Hiwase, A.r. Kulkarni
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National Seminar on Recent Trends in Data Mining
Foundation of Computer Science USA
RTDM2016 - Number 3
April 2016
Authors: Neha S. Hiwase, A.r. Kulkarni
b8da7fd1-5454-4b76-ba07-670b658114d2

Neha S. Hiwase, A.r. Kulkarni . Review Paper on Topic Detection using Ontology. National Seminar on Recent Trends in Data Mining. RTDM2016, 3 (April 2016), 1-3.

@article{
author = { Neha S. Hiwase, A.r. Kulkarni },
title = { Review Paper on Topic Detection using Ontology },
journal = { National Seminar on Recent Trends in Data Mining },
issue_date = { April 2016 },
volume = { RTDM2016 },
number = { 3 },
month = { April },
year = { 2016 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/rtdm2016/number3/24689-2583/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Seminar on Recent Trends in Data Mining
%A Neha S. Hiwase
%A A.r. Kulkarni
%T Review Paper on Topic Detection using Ontology
%J National Seminar on Recent Trends in Data Mining
%@ 0975-8887
%V RTDM2016
%N 3
%P 1-3
%D 2016
%I International Journal of Computer Applications
Abstract

Ontology is nothing but the philosophical study. It concern with the basic categories of things and there relation. Ontology deals with the entities, group of entities within the hierarchy. It is divided according to the similarities and difference between the hierarchies. Ontology is a short form of Ontological Representation and it is used for representation of the defined knowledge. In this paper, it detects "innovative topics", which are new and interesting to the user. It first generates user-interest ontologies. User interest ontology that allows user profiles to be constructed as a hierarchy of classes.

References
  1. S. Chakrabarti, M. van den Berg, B. Dom, (1999) "Distributed hypertext resource discovery through examples", The VLDB Journal 375–386.
  2. E. Adar, L. Zhang, L. Adamic, R. M. Lukose,(2004) Implicit structure and the dynamics of blog space, in:WWW2004Workshop on the Web logging Ecosystem.
  3. Makoto Nakatsujia, Makoto Yoshidab, Toru Ishidac (2009)," Detecting innovative topics based on user-interest ontology".
  4. I. Ohmukai, H. Takeda, Metadata-driven personal knowledge publishing, in:International SemanticWeb Conference, 2004, pp. 591–604.
  5. D. L. McGuinness, F. v. Harmelen, Web Ontology Language (OWL): Overview,W3C Recommendation, 2004, http://www. w3. org/TR/owlfeatures/.
Index Terms

Computer Science
Information Sciences

Keywords

Ontology Entities Hierarchy