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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
Nowadays, web has become widespread in terms of availability of contents related to every field. Also a large repository of web contents is turned up as a most challenging tool for searching and retrieving information. For scientists and researchers, resource or content searching has been very important. Todays, market is full of variant search tools over web having discrepancy in terms of working...
Most approaches towards automatic evaluation of free text answers are keyword centric. Though keywords essentially reflect and represent the primary concept coverage of an answer, they are incomplete without the associated texts. The words occurring before and after the keywords bring out the true meaning. The work
optimized sequences of tests described by certain keywords which follow certain restrictions given by the user. These restrictions refer to matching keywords that characterize each test with the keywords given by the user. The user also has the choice to avoid as much as possibly certain tests that are characterized by some
proposed a formalized model of the text semantic similarity and similarity algorithm based on the case grammar. The semantic meanings of a sentence stem decide the similarity of a sentence. To the similarity sentence, a vector is used for the decorating case to get similarity algorithm. In this way, it avoided the keyword
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.