Discussion of the classification of documents from bibliographic databases focuses on a method of vectorizing reference documents from LISA (Library and Information Science Abstracts) which permits their topological organization using Kohonen's algorithm. Analyzes possibilities of this type of neural network with respect to the development of…

The link between classification and knowledge is explored. The strengths and limitations of four classificatory approaches (hierarchies, trees, paradigms, and faceted analysis) are described in terms of their ability to reflect, discover, and create new knowledge. Examples are provided of the way in which knowledge and the classification process…

Presents the conceptual design of a full-scale bibliographic database that includes bibliographic, authority, holdings, and classification data and is based on entity-relationship modeling. MARC format, AACR2 (Anglo-American Cataloging Rules) compatibility, and normalization and efficiency are discussed. (Author/LRW)

This paper establishes a classification for the different types of ephemeral publications that are common in museums (e.g., educational, commercial, internal). To this purpose, it sets forth an elementary system of automated technical treatment that provides a secure system for storage, retrieval, and diffusion of this data by using MARC format in…

Previews Digital Object Identifiers (DOIs), a potential unifying classification system for the Web and the Internet developed by the Association of American Publishers and the Corporation for National Research Initiatives. Discusses issues and problems surrounding DOI implementation and usage and how DOI would affect publishers, users,…

The final report from the Higher Education Library Integrated Network (HELIN)'s Task Force on Bibliographic and Authority Control begins with a statement of the charge to the task force. It then summarizes its activities in each of five areas: (1) documentation of local authority control (cataloging) practices; (2) consultation with vendors of…

Knowledge discovery in databases (KDD) revolves around the investigation and creation of knowledge, processes, algorithms, and mechanisms for retrieving knowledge from data collections. The article is an introductory overview of KDD. The rationale and environment of its development and applications are discussed. Issues related to database design…