Describes the architecture and functioning of a system developed specifically for text processing applications--such as information retrieval--that can benefit from structural comparisons between elements of text, such as queries and abstracts. The general ways in which the system performs matches and the ways in which this objective influenced…

Presents a model that places Boolean database queries into conjunctive normal form, thereby allowing probabilistic ranking of documents and the incorporation of relevance feedback. Experimental results compare the performance of a sequential learning probabilistic retrieval model with the proposed integrated Boolean probabilistic model and a fuzzy…

A theoretical framework used to derive a weighting mechanism for ranking output documents in Boolean retrieval systems is described in detail. A simple illustrative example is included, and the implications of such an approach are discussed. (64 references) (Author/CLB)

Discussion of user-relevance judgments in information retrieval focuses on findings from four separate studies of relevance judgments by 55 users conducting their initial online search on a particular information problem. Highlights include a theoretical framework, models of relevance, and implications for information-retrieval system design and…

Describes rough sets theory and discusses the advantages it offers for information retrieval, including the implicit inclusion of Boolean logic, term weighting, ranked retrieval output, and relevance feedback. Rough set formalism is compared to Boolean, vector, and fuzzy models of information retrieval and a small scale evaluation of rough sets is…

Describes the three subsystems of an information retrieval system (document descriptions, queries, and matching algorithms) and argues that the interdependency of these subsystems requires adaptation for the system to perform when any component changes. An algorithm for redescribing documents, in response to changes in queries and retrieval rules,…

Describes a new Boolean retrieval environment in which an extended soft Boolean logic is used to automatically construct queries from original natural language formulations provided by users. Experimental results that compare the retrieval effectiveness of this method to conventional Boolean and vector processing are discussed. (27 references)…

Discusses the motivation for integrating information retrieval and database management systems, and proposes a probabilistic retrieval model in which records in a file may be composed of attributes (formatted data items) and descriptors (content indicators). The details and resolutions of difficulties involved in integrating such systems are…

Provides an overview of methods for improving the effectiveness of Boolean retrieval systems, including document clustering, relevance feedback, weighted term searching, ranked output, and fuzzy set theory. The discussion of experimental studies with the SMART and SIRE systems focuses on the implementation and results of these methods. (69…

Describes the six tasks required in the development of an online database: analysis, design, programing, testing, loading, and documentation. Figures illustrate file formats, and a bibliography lists five sources. (FM)

Proposes a microprocessor-based architecture that makes large use of parallelism both in processing and in retrieval operations. The proposed system consists of three functional blocks: the query processor, simple query executers, and the answer composer. Twenty-one references are listed. (FM)

Proposes a summarization system for multiple documents that employs named entities and other signatures to cluster news from different sources, as well as punctuation marks, linking elements, and topic chains to identify the meaningful units (MUs). Using nouns and verbs to identify similar MUs, focusing and browsing models are applied to represent…

Describes SCISOR (System for Conceptual Information Summarization, Organization and Retrieval), a prototype intelligent information retrieval system that extracts useful information from large bodies of text. It overcomes limitations of linguistic coverage by applying a text processing strategy that is tolerant of unknown words and gaps in…

This paper proposes a user designed system, HUC, intended to provide a single index and retrieval system covering all recorded knowledge and information capable of being retrieved from all modes of storage, from manual to the most sophisticated retrieval system. The concept integrates terminal hardware, software, and database structure to allow…

Discusses the multilevel information system (MLIS), a retrieval system that integrates functions typical for database management systems and retrieval-oriented systems and provides several levels of data accessing, each developed for a different class of users. Twenty-two sources are cited. (FM)