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

the similarity computation and propose a keyword-based clustering algorithm. Experimental results show that content-based keyword weighting outperforms frequency-based weighting method.

symmetric key. Our another goal is to enable a user to give a proxy the ability to decrypt only the ciphertexts containing desired keywords, but not other ciphertexts. We propose a new mechanism, Searchable Keyword-Based Encryption (SKBE) which satisfies both the above goals. As a result of adding

• Information is stored in various types of media, ranging from customer account databases to CD-ROM encyclopedias to the internet • The challenge lies in how to effectively retrieve the correct set of data, with the relevant information on it for the user

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

At the end of a thoughtful article on the future of nuclear war, Wiesner and York (1) concluded that: “Both sides in the arms race are... confronted by the dilemma of steadily increasing military power and steadily de-creasing national security. It is our considered professional judgment that this dilemma has no technical solution. If the great powers continue to look for solutions in the area of science and technology only, the result will be to worsen the situation.” I would like to focus your attention not on the subject of the article (national secu-rity in a nuclear world) but on the kind of conclusion they reached, namely that there

corresponds to knowledge that is "distributed" among the members of the group, while common knowledge corresponds to a fact being "publicly known". The relationship between common knowledge and a variety of desirable actions in a distributed system is illustrated. Furthermore, it is shown

We present a new and more symmetric version of the circumscription method of nonmonotonic reasoning first described in (McCarthy 1980) and some applications to formalizing common sense knowledge. The applications in this paper are mostly based on minimizing the abnormality of different aspects

their information and does not degrade the data given to aggre-gators. Recognizing that the first challenge is to express lo-cations in a way that is meaningful for advertisers and users, we propose a keyword based design. Keywords characterize locations, let the users inform the system about their sen

be computed. KEYWORDS: image databases, content-based retrieval, image indexing, similarity retrieval, spatial query. 1 INTRODUCTION In this paper we investigate a new content-based image query system that enables querying by image regions and spatial layout. VisualSEEk is a hybrid system