This paper argues that medium for information access becomes central to library and information science. The author discusses the notion of medium, medium neutrality, and personalization and suggests that the dominating paradigm of providing fast, efficient, and neutral systems and services for retrieving information has sidetracked opportunities…

The intellectual origins of information organization (IO) as a field of study are examined by tracing the use of the terms, "information organization", "knowledge organization", "bibliographic control", and their variants, and by surveying the educational texts dealing with the various component activities of IO,…

The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

The current study seeks to describe and analyze journal research publications in the top 10 Library and Information Science journals from 2007-8. The paper presents a statistical descriptive analysis of authorship patterns (geographical distribution and affiliation) and keywords. Furthermore, it displays a thorough content analysis of keywords and…

This dissertation focuses on investigating whether users will locate desired images more efficiently and effectively when they are provided with information descriptors from both experts and the general public. This study develops a way to support image finding through a human-computer interface by providing subject headings and social tags about…

Introduction: Several controlled vocabularies are used for indexing three journal articles to check if better or equal consistency rates are achieved with a list of descriptors than with a standard thesaurus and augmented thesaurus. Method: A terminology set for library and information Science was used to build a list of descriptors with…

Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…

This report summarizes the work carried out on the automatic construction of keyword classifications and their use in information retrieval. It discusses the possible characteristics of such classifications, and potential ways of using them; and describes the various approaches to classification that were considered in terms of an overall frame of…

This volume is a compilation of the papers presented at the 10th ASIS (American Society for Information Science) workshop on classification research. Major themes include the social and cultural informatics of classification and coding systems, subject access and indexing theory, genre analysis and the agency of documents in the ordering of…

Discusses the history of information science and its understanding of and approach to relevance; explains human categorization theory and applies it to the idea of relevance; shows that information science research is flawed because it fails to adequately explain experience; and suggests implications for future research. (17 references) (LRW)

This book deals with properties of vocabularies for indexing and searching document collections; the construction, organization, display, and maintenance of these vocabularies; and the vocabulary as a factor affecting the performance of retrieval systems. Most of the text is concerned with vocabularies for post-coordinate retrieval systems, with…

Proposed is a measure of indexing consistency based on the concept of "fuzzy sets." By this procedure a higher consistency value is assigned if indexers agree on the more important terms than if they agree on less important terms. Measures of the quality of an indexer's work and exhaustivity of indexing are also proposed. Experimental data on…

The Classification Research Group has produced a number of reports which explore the theoretical, as opposed to special, classification schemes and worked out their applications in detail in a few selected disciplines. A short and simplified introduction to these reports, which are published under the title "Classification and Information…

The idea of pseudo-classification based on external relevance was introduced and compared with the usual classifications using associative techniques. A general model for an information retrieval system using term classification was described. A set of operators for adjusting pseudo-classifications and preventing their deterioration was derived…

An important factor to be considered in applying clustering techniques to information storage and retrieval problems is the use to be made of the resultant groupings. An examination of cluster criteria differentiation as a function of purpose may be fruitful in the exploitation of clustering techniques. (12 references) (Author/KE)