Semantic Focused Crawler Using Ontology in Web Mining for Measuring Concept Similarity

N.Vijayalakshmi , J.Sangeetha

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.

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"Semantic Focused Crawler Using Ontology in Web Mining for Measuring Concept Similarity", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 3, page no.124 - 129, March-2017, Available :https://ijsdr.org/papers/IJSDR1703021.pdf

Volume 2 Issue 3, March-2017

Pages : 124 - 129

Paper Reg. ID: IJSDR_170088

Published Paper Id: IJSDR1703021

Downloads: 000347049

Research Area: Engineering

Country: Coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1703021

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1703021

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition