Considers a "hybrid" approach to the modeling of uncertainty in deductive databases. The model, deductive IST (DIST) is based on an extension of the "Information Source Tracking" (IST) model for relational databases. Proves that the complexity of testing containment of conjunctive DIST queries remains the same as in the…

The study has applied speech recognition and text-mining technologies to a set of recorded outbound marketing calls and analyzed the results. Since speaker-independent speech recognition technology results in a significantly lower recognition rate than that found when the recognizer is trained for a particular speaker, a number of post-processing…

Contends that large databases contain hidden knowledge, or literature that is logically linked but not bibliographically linked, that contains academically interesting commonalities not retrievable by normal searching methods. Based on search methods for discovering previously unknown causes of medical syndromes, a method for discovering new…

Proposes a structure for natural language descriptions of the semantic content of visual materials that requires descriptions to be (modified) keywords, phrases, or simple sentences, with components that are grammatical relations common to many languages. This structure makes it easy to implement a collection's descriptions as a relational…

Describes database and index design and data collection methods for compilation of the National Tune Index, a comprehensive, multifaceted tool for research in and analysis of eighteenth century American and British secular music, restoration of early American theater works, and identification of specific tune or text fragments. (MBR)

This paper considers the processing of digital library queries, consisting of a text component and a structured component in distributed environments. The paper concentrates on the processing of the structured component of a distributed query. A method is proposed to identify the databases that are likely to be useful for processing any given…

Proposes a composite feature measure which combines the shape and color features of an image based on a clustering technique. A similarity measure computes the degree of match between a given pair of images; this technique can be used for content-based image retrieval of images using shape and/or color. Tests the technique on two image databases;…

This report examines the features of computer information systems, differentiating between data files, search systems, and computer information organizations. An annotated listing is provided of those computer information retrieval files of interest to the music education researcher. This listing is divided into five categories: (1) music and…

Describes an information retrieval system in which advanced natural language processing is used to enhance the effectiveness of term-based document retrieval by preprocessing the documents; discovering interterm dependencies and build a conceptual hierarchy specific to database domain; and processing the user's natural language requests into…

Points out the need for informed and experienced users of data bases. Discusses the definition of a data base, creating a data base for research, comparison use, and checking written text as a data base. (EL)

A comparison of costs for computer-based searching of Psychological Abstracts and Educational Resources Information Center (ERIC) systems by the New York State Library at Albany was produced by combining data available from search request forms and from bills from the contract subscription service, the State University of New…