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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...
focused web crawler under the EU FP7 Security Research Project CAPER (Collaborative information, Acquisition, Processing, Exploitation and Reporting for the prevention of organized crime). The crawler allows 1. to look for documents starting from a URL until a parametric depth of levels - also specifying a keyword that has
the crawled Web pages in to repositories. At first, the keywords are extracted from the crawled pages and the similarity score between two pages is calculated based on the extracted keywords. The documents having similarity scores greater than a threshold value are considered as near duplicates. The detection has
keywords from Web documents and to associate locations with them. This method is called location tagging. In this paper we present a location tagging approach for unstructured documents which utilizes multiple external location providers. Detected locations are ranked according to their relevance for the document, in order to
likely encountered a high ranking page that consists of nothing more than a bunch of query keywords. These pages detract both from the user experience and from the quality of the search engine. Search engine spam is a webpage that has been designed to artificially inflating its search engine ranking. Recently this search
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.