Self-Adaptive Focused Crawler Using Ontology
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 117 | Views: 383

Research Paper | Computer Science & Engineering | India | Volume 4 Issue 6, June 2015 | Popularity: 6.4 / 10


     

Self-Adaptive Focused Crawler Using Ontology

Pallavi Wadibhasme, Nitin Shivale


Abstract: A focused crawler is a crawler which returns related web pages on a in traversing the web. Web Crawlers are one of the most important unit of crucial part of the Search Engines to gather pages from the Web. The requirement of a web crawler that downloads most related web pages from such a large web is still a major challenge in the field of Information Retrieval Systems. Most Web Crawlers use s approach for search the information from Web. But they search many irrelevant pages as well. In this paper, we present the framework of a novel self-adaptive semantic focused crawler SASF crawler, with the of precisely and finding, and indexing by taking into account the heterogeneous, ubiquitous and ambiguous nature of mining information. The framework the technologies of semantic focused crawling and ontology learning, in order to use this crawler


Keywords: Mining Service, Ontology Learning, Semantic focused crawler, service information discovery


Edition: Volume 4 Issue 6, June 2015


Pages: 2463 - 2465



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Pallavi Wadibhasme, Nitin Shivale, "Self-Adaptive Focused Crawler Using Ontology", International Journal of Science and Research (IJSR), Volume 4 Issue 6, June 2015, pp. 2463-2465, https://www.ijsr.net/getabstract.php?paperid=SUB155863, DOI: https://www.doi.org/10.21275/SUB155863

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