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Keyword search is the dominant information discovery method in Information Retrieval (IR) systems and search engines on the Web. Nowadays, there is an increase amount of data stored in structured databases (Relational Databases). Searching on traditional database management system is done through customized
The keyword-based Google images search engine is now becoming very popular for online image search. Unfortunately, only the text terms that are explicitly or implicitly linked with the images are used for image indexing but the associated text terms may not have exact correspondence with the underlying image semantics
We investigate the problem of processing a large amount of continuous spatial-keyword queries over streaming data, which is essential in many applications such as location-based recommendation and advertising, thanks to the proliferation of geo-equipped devices and the ensuing location-based social media applications
BIBSURF is a system demonstrating search, ranking and filtering of bibliographic RDF data that is organized in form of entities representing intellectual endeavor at different levels of abstraction: item, manifestation, expression, work.
The rapid increase in the size of digital image and video collections is urging for the development of efficient browsing and search tools that skip the subjective task of keyword indexing, paving the way for the ambitious and challenging idea of content based description of imagery. With this goal in mind the
Managing and searching facsimiles automatically is the key point to achieve OA (Office Automation). At present, there is a lack of method to establish index of fax, which is the basis of searches. Focus on official business faxes, this paper proposes an approach to create index of fax, using logo, stamp and keywords
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.