Since its publication in 2005, Mark A. Greene and Dennis Meissner's "More Product, Less Process: Revamping Traditional Archival Processing" has led to much discussion and self-examination within the archival community about working through backlogs. This article discusses the impact of Greene and Meissner's work and considers the questions and…

Proposes a new rule system and notation that supports the characterization of a document based on its structure or architecture (primarily linear, paper-copy media). Examples of the application of the notation are provided. (Author/JKP)

Presents an overview of artificial-intelligence-based inductive learning techniques and their use in information science research. Three methods are discussed: the connectionist Hopfield network; the symbolic ID3/ID5R; evolution-based genetic algorithms. The knowledge representations and algorithms of these methods are examined in the context of…

Proposes an information retrieval system based on a hybrid model consisting of an inductive learning and neural network system. Evaluates the system's responses to incomplete queries and inconsistent indexing. Query terms, discriminant descriptors, and the American Documentation Institute's query and document titles used in the evaluation are…

The Latent Semantic Indexing and MatchPlus systems examine similar contexts in which words appear and create representational models that capture the similarity of meaning of terms and then use the representation for retrieval. Text Retrieval Conference experiments using these systems demonstrate the computational feasibility of using…

This set of papers offers insights into some of the major developments in the field of classification and knowledge organization, and highlights many of the fundamental changes in views and theories which have taken place during the last 40 years. This document begins with a series of reminiscences from former delegates of the first International…