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keyword driven crawling with relevancy decision mechanism and uses Ontology concepts which ensures the best path for improving crawler's performance. This paper introduces extraction of URLs based on keyword or search criteria. It extracts URLs for web pages which contains searched keyword in their content and considers such
agent that targets a particular topic and visits and gathers only relevant web pages. In this dissertation I had worked on design and working of web crawler that can be used for copyright infringement. We will take one seed URL as input and search with a keyword, the searching result is based on keyword and it will fetch
, sponsored links, headers, footers etc. Hence guiding on to fetch particular documents over the Internet is well supported by search engines, on giving appropriate keywords in form of queries, or either by catalogues generation, which organize documents into hierarchical file structure. But maintenance of such catalogues
engine are classified on basis of many techniques such as keyword matches, link analysis, or many other techniques. Search engines provide information gathered from their own indexed databases. These indexed databases contain downloaded information from web pages. Whenever a query is provided by user, the information is
extends the VSM based on keyword, it consider that the keywords in the page have different weight in the different position;Integrating the principles of Page-Rank, link analysis also considers that anchor text and website of the web page relevant with the theme.
In the age of Internet, with the online information explosive growth, people want to find information we need in the cyberworld fleetly and exactly. The information retrieval method based on the keyword or the simple logic-combination of the keywords has been unable to meet the people's need of information getting to
found will be categorized into three groups: Positive link, Negative link and Neutral link. The objective is to identify whether the link is likely pointing into relevant documents or not. In addition, we also utilize keywords related financial domain to recognize a relevant document. Based on our experiments, the value of
The Fuzzy-Go search engine develops a fuzzy ontology to capture the similarities of terms in the ontology for accomplishing the semantic search of keywords, a web crawler to gather and classify web pages, and a fuzzy search mechanism to aggregate all fuzzy factors based on their degrees of importance and degrees of
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.