jects that use these technologies for archiving and retrieval. The main goal of the MAESTRO project is to discover, implement, and evaluate various combinations of these technologies to achieve analysis performance that surpasses the sum of the parts. For example, British Prime Minister Tony Blair can be identified in the news by his voice, his appearance, captions, and other cues. A combination of these cues should provide more reliable identification of the Prime Minister than using any of the cues on their own. MAESTRO is a highly multidisciplinary effort, involving contributions from three laboratories across two divisions at SRI. Each of these SRI technologies is described in more detail here. The integrating architecture makes it easy to combine these in different ways, and to incorporate new analysis technologies developed by our team or by others. Multimedia Analysis Technologies on the MAESTRO Score On the MAESTRO Score (see Figure 1), on each line, similar

defined bounds on the number of returned hits. We assume a real-world setting where the user is not given direct access to a Web search engine’s index, i.e., querying is possible only through an interface. The goal to be optimized is the overall number of submitted Web queries. One original

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Abstract not found

on the Web are now very common, but they cannot be employed to search relational databases. This work proposes a method that allows user to submit keyword-based queries, which are then semantically analysed and enriched before being mapped for the database language. By analysing keyword-based queries

familiarized casual users with using keyword queries to retrieve information on the internet. Unlike this easy-to-use querying, traditional query languages require knowledge of the language itself as well as of the data to be queried. Keyword-based query languages for XML and RDF bridge the gap between the two

Query expansion describes the automated process of supplementing a user’s search with additional terms or geographic locations to make it more appropriate for the user's needs. Such process relies on the system’s knowledge about the relation between geographic terms and places. Geo

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The Semantic Web is an extension of the current web in which information is given a well-defined meaning, better enabling computers and people to work in cooperation. In this paper we present, GuNQ- A GUI based Semantic Web Engine and a keyword based query approach to achieve ease of implementation

keyword-based queries