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Mining Services Information Discovery through Self-Adaptive Semantic Focused Crawler: A Review

Author(s):

Prof. Prasad Mahale , R.C.Patel Institute of Techology

Keywords:

Ontology Learning, Semantic Focused Crawler

Abstract

Web Crawlers are one of the most critical components used by the Search Engines to collect pages from the Web. Focused crawler is used to collect those web pages that are relevant to a particular topic while filtering out the irrelevant pages. Internet has become the largest marketplace in the world, and online advertising is popular industries, including the traditional mining service industry where mining service advertisements are effective carriers of mining service information. There are three problems namely heterogeneity, ubiquity, and ambiguity when searching for mining service information over the Internet. SASF crawler focus the three major issues for the purpose of precisely and efficiently discovering, formatting, and indexing mining service information over the Internet. The technologies of semantic focused crawling and ontology learning incorporates by SASF crawler. The design of an unsupervised framework for vocabulary-based ontology learning, and a hybrid algorithm for matching semantically relevant concepts and metadata used by SASF crawler.

Other Details

Paper ID: IJSRDV5I20058
Published in: Volume : 5, Issue : 2
Publication Date: 01/05/2017
Page(s): 6-8

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