Self-Adaptive Metadata Association and Ontology Learning

A paying attention crawler is a crawler which returns connected web pages on a in traversing the web. Web Crawlers are one of the most vital unit of decisive part of the Search Engines to gather pages from the Web. The necessity 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 Keywords 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.