Search (8 results, page 1 of 1)

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Abstract

The article describes the nature of a faceted classification, and its application in document retrieval. The kinds of facet used are illustrated. Procedures are then discussed for identifying facets in a subject field, populating the facets with individual subject terms, arranging these in helpful sequences, using the scheme to classify documents, and searching the resultant classified index, with particular reference to Internet search.

Content

Beitrag eines Themenheftes "Facets: a fruitful notion in many domains".

Type

a

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Abstract

Describes metatheory as the analysis of the pressumptions of a field of knowledge or practice. Discusses the pressumptions as the basis of the practice of information science, in particular in relation to such concepts as information, knowledge (personal and public), message, message designation, information want and need, query, relevance and information search. Considers the nature of these pressumptions, and the conditions under which they may be replaced by others

Type

a

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Abstract

The paper aims to provide a non-technical introduction to the new procedures being used to extract knowledge from databases. The reasons for developing knowledge discovery methods are discussed - primarily, the current production of very large databases that may include many data relations not explicit in the database structure. The background in machine learning is indicated. The methods used are described for such techniques as classification (soting data into predefined classes), clustering (developing ab inition a data classification) and the detection of deviations from pre-established norms. Examples of the applications of these methods are given. The paper concludes with some brief thoughts about the potential use of knowledge discovery in the information field

Type

a

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Type

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Type

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Abstract

There is a huge amount of information and data stored in publicly available online databases that consist of large text files accessed by Boolean search techniques. It is widely held that less use is made of theses databases than could or should be the case, and that one reason for this is that potential users find it difficult to identify which databases to search, to use the various command languages of the hosts and to construct the Boolean search statements required. This reasoning has stimulated a considerable amount of exploration and development work on the construction of search interfaces, to aid the inexperienced user to gain effective access to these databases. The aim of our paper is to review aspects of the design of such interfaces; to indicate the requirements that must be met if maximum aid is to be offered to the inexperienced searcher; to spell out the knowledge that must be incorporated in an interface if such aid is to be given; to describe some of the solutions that have been implemented in experimental and operational interfaces; and to discuss some of the problems encountered. The paper closes with an extensive bibliography of references relevant to online search aids, going well beyond the items explicitly mentioned in the text. An index to software appears after the bibliography at the end of the paper

Type

a

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Abstract

Brian Vickery took a look back at the development of information retrieval, and some of the problems it has faced. A chemist at the start of his career, Brian Vickery has had enormous influence on knowledge organization since 1952, as one of the founder members of the Classification Research Group. He served also at the (then) National Lending Library in Boston Spa, the University of Manchester Institute of Science and Technology, and from 1966 to 1973 as Research Director of Aslib. This post was followed by ten years as Director of the School of Library, Archive and Information Studies at University College London. Despite his formal retirement in 1983, Brian has continued working actively in the information field ever since.

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