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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We consider the problem of query rewrites in the context of pay-per-click search advertising. Given a three-layer graph consisting of queries, query rewrites, and the corresponding ads that can be served for the rewrites, we formulate a family of graph covering problems whose goals are to suggest a

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There are currently two dominant interface types for searching and browsing large image collections: keyword-based search, and searching by overall similarity to sample images. This paper presents an alternative in which users are able to navigate explicitly along conceptual dimensions

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

Internet search engines have popularized the keywordbased search paradigm. While traditional database management systems offer powerful query languages, they do not allow keyword-based search. In this paper, we discuss DBXplorer, a system that enables keywordbased search in relational databases

BANKS, a system which enables keyword-based search on relational databases, together with data and schema browsing. BANKS enables users to extract information in a simple manner without any knowledge of the schema or any need for writing complex queries. A user can get information by typing a few

This paper presents the design of Mercury, a scalable protocol for supporting multi-attribute rangebased searches. Mercury differs from previous range-based query systems in that it supports multiple attributes as well as performs explicit load balancing. Efficient routing and load balancing