INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Semantic Focused Crawler Using Ontology in Web Mining for Measuring Concept Similarity
Authors Name:
N.Vijayalakshmi
, J.Sangeetha
Unique Id:
IJSDR1703021
Published In:
Volume 2 Issue 3, March-2017
Abstract:
In the world of Internet, semantic crawlers played a vital role in optimizing the user query search in Web Data Mining. An unsupervised ontology learning algorithm is used in self adaptive semantic crawlers to maintain the performance of the crawlers. For each concept from the crawled web page, a value is calculated, which is used to train the values of the concept in later search. The dynamic nature of concept values and learned description values has been a reason in performance declination. In the proposed work the usage of JCN algorithm computes the semantic relatedness of word senses. It measures the edge counts using a ‘is-a’ hierarchy and Information Content Values in WordNet. Ontology learning and data mining techniques is used for effective evaluation measures, which can be used to select an ontology that is best out of many candidates. The implemented algorithm incorporates the technologies of semantic focused crawling and ontology learning, in order to maintain the performance of the crawler in Web Mining, regardless of the variety in the Web environment. The innovations of the algorithm is based on the design of an unsupervised framework for vocabulary-based text data mining , and a Jiang Conarth algorithm for matching semantically relevant concepts.
Keywords:
Cite Article:
"Semantic Focused Crawler Using Ontology in Web Mining for Measuring Concept Similarity", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 3, page no.124 - 129, March-2017, Available :http://www.ijsdr.org/papers/IJSDR1703021.pdf
Downloads:
000337064
Publication Details:
Published Paper ID: IJSDR1703021
Registration ID:170088
Published In: Volume 2 Issue 3, March-2017
DOI (Digital Object Identifier):
Page No: 124 - 129
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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