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Finding relevant documents in digital libraries has been a well studied problem in information retrieval. It is not uncommon to see users browsing digital collections without having a clear idea of the keyword search that they should perform. However, we believe that such initial query search is not totally
Office applications are becoming a major pillar of today's organizations since they are used to edit a vast amount of digital documents. Finding these office documents in large databases that fit users' needs is becoming increasingly important. Traditional search tools that employ keyword and phrase matching between
In this paper, we propose the ldquoaddedrdquo use of proximity search to a Web search query for narrowing down the set of documents returned as answers to a keyword based search query. This approach adds value to Web search query results by allowing users to better express what they are looking for. Most of the
documents with document-level access control. The effective and secure search is realized by incorporating metadata identifying document types, keyword definitions and access control information directly into a search index. Given a search query of an authorized user, a technique that generates SQL statements on the search
When we use a search engine in Internet, we often cannot retrieve a document we look for, due to the difficulty of finding adequate keywords. One of the ways to solve the problem is to search adequate keywords interacting with a user: a metasearch engine displays keywords and pages, a user evaluate them. Iterating the
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.