The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
With the fast development of location-based services and geo-tagging, spatial keyword queries that retrieve objects satisfying both spatial and keyword conditions are gaining in prevalence. A hybrid index that integrates a spatial index (e.g., the R-tree or its variations) with a keyword filter offers a promising
This paper presents a novel keyword selection-based spoken document-indexing framework that selects the best match keyword from query candidates using spoken term detection (STD) for spoken document retrieval. Our method comprises creating a keyword set including keywords that are likely to be in a spoken document
Search, to support db-page search. Dash determines db-pages possibly generated by a target web application and its database through exploring the application code and the related database content and supports keyword search on those db-pages. In this paper, we present its system design and focus on the efficiency issue. To
With the rapid development of Internet technology, information resources on the Internet become more abundant, but also bring some problems like diversity, heterogeneity, disorder, and redundancy. Given a brief expression like search keywords only, users' needs are ambiguous. Therefore, current technologies of search
components rather than a single Database table. So to minimise the time constraint, memory space and to do a smart search a new IR system is introduced. In the proposed system, searches can be divided into three categorise, namely (i) Main topic search (ii) Subtitle search and (iii) Keyword search. So the system would search
paper to descript how to builds the cross-linking-index each other among melody, pitch, keyword of lyrics, and picture. The proposed CDIndex can be extended applied to cross-media information retrieval system in digital multimedia database or over the Internet. It will improve the user's experience by applying this new
shops), how can we find sets of objects that are both spatially and textually relevant to a query? Most of existing studies solve the problem by requiring that all query keywords are covered by the returned objects and then rank the sets by spatial proximity. The needs for identifying sets with more textually relevant
virtual universities. Vocabulary tree is an efficient search data structure based on visual-keywords. Using vocabulary tree structure can improve the retrieval efficiency, and can meet the large-scale image database demand from the adaptability and scalability requirements, thus realizes the highly effective achieve virtual
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.