Brian Campbell Vickery: Subject

Brian Campbell Vickery was British information theorist. Explore interesting quotes on subject.
Brian Campbell Vickery: 168 quotes0 likes

“I suspect that teaching the history of our subject is less frequent in our institutions than it was. We are getting short-sighted both in looking forward and in looking backward, to our detriment.”

Brian Campbell Vickery

Source: A Long Search for Information (2004), p. 29.

“Facet analysis results in more varied, multidimensional relationships, at least in theory, better reflecting the complexity of subject knowledge”

Brian Campbell Vickery

Vickery (1960, p. 13) as cited in: Steven Blake Shubert (1996) Subject Access to Museum Objects p. 429.

“An information retrieval system is therefore defined here as any device which aids access to documents specified by subject, and the operations associated with it. The documents can be books, journals, reports, atlases, or other records of thought, or any parts of such records—articles, chapters, sections, tables, diagrams, or even particular words. The retrieval devices can range from a bare list of contents to a large digital computer and its accessories. The operations can range from simple visual scanning to the most detailed programming.”

Brian Campbell Vickery

Source: The Structure of Information Retrieval Systems (1959), p. 1275.

“In seeking scientific understanding of the processes of information transfer we have had to go considerably outside the subject limits within which 'information science' as an academic subject is normally constrained… It has become increasingly clear that only by widening its “knowledge base” can information science establish a solid foundation for future development.”

Brian Campbell Vickery

Source: Information Science in Theory and Practice (1987), p. v; As cited in: Lyn Robinson and David Bawden (2011).

“In scientific information, then, we find that subjects - the themes and topics on which books and articles are written - cluster into fields, each of which can be analysed into its characteristic set of facets of terms.”

Brian Campbell Vickery

Source: Classification and indexing in science (1958), Chapter 1: The need for classification, p. 11.

“The scope of a specialised documentary classification is usually designated by its title, the subject field that it professes to classify. It is no easy task to state what is meant by a subject field. In general it can be expressed as Thing-Activity. A definable group of things… is selected, and from the many relations in which they subsist a certain number are selected as relevant.”

Brian Campbell Vickery

Source: Classification and indexing in science (1958), Chapter 1: The need for classification, p. 11.

“The most important characteristic of documentary classification is that it is concerned with subjects, not just entities of taxonomic classification. What is the nature of the specific subjects - the themes on which books, parts of books, articles or parts of articles are written? A study of book titles alone would suggest that literary subjects have simple names like 'War, Religion', 'Boats', 'Musica; pitch', 'Colour', 'Acridines', 'Wild flowers', and so on. But the study of articles on the documentation level reveals that such titles are simple in appearance only. Such a literary subject is in reality a complex aggregate of specific subjects, eahc which is the main theme discussed from one particular aspect.”

Brian Campbell Vickery

Source: Classification and indexing in science (1958), Chapter 1: The need for classification, p. 8; Partly cited in Nigerian Library and Information Science Review (1987). Vol 5-8. p. 44.

“Four years ago, when the first edition of this book was written, information retrieval was beginning to crystallize out as a unified discipline. The process has gone further today. Several other books… have also offered a general survey, although each has contributed its own special emphasis. Many conferences on the subject have been held, and a constant stream of new articles has appeared, both in documentation journals and in those in the data processing field.
Information retrieval is now recognized as a discipline, and further advances in theory are being made, What I described in the first edition as the key operation in retrieval — the subject description of documents — is being explored theoretically and experimentally, although we are still a long way from reducing this operation to rule (Chapter 3). There has been less new work on the design of descriptor languages, although ideas on the display of descriptor relations through thesauri and 'semantic maps' have been developed (Chapter 4). Access to files has been examined, particularly by those experienced in data processing.”

Brian Campbell Vickery

Preface to second edition (1965). p. v.
On Retrieval System Theory (1961)

“Only in a very static profession can one be trained to slot in immediately to an available job, and our profession is far from static. It is more beneficial for the students to give them a generalised grounding in a wide variety of professional activities and concerns, so that they will have some background knowledge for no matter what job is first available. For those who seek it, our subject also has its cultural value, which can contribute to a general education.”

Brian Campbell Vickery

Source: A Long Search for Information (2004), p. 29.

“Classification in documentation is a tool for selection. It is essentially a 'finding system' for subject items… It is an artificial language, designed as a tool to aid in the selection of information from a store in response to search questions. The classification serves to standardise subject description, so that the description of a subject used by indexer and inquirer are more likely to coincide, thus maximising the probability of finding all items relevant to an inquiry.”

Brian Campbell Vickery

Source: Classification and indexing in science (1958), Chapter 1: The need for classification, p. 12-13.

“The problems of subject search on the Internet are no different in principle: search engines may permit easy location of verbally expressed topics, but we still seek to improve our methods of navigation.”

Brian Campbell Vickery

Source: A Long Search for Information (2004), p. 11; As cited in: Lyn Robinson and David Bawden (2011).

“The way in which units of information, and relevant relations between them, are defined in the system. This is the semantic level of subject analysis.”

Brian Campbell Vickery

The Structure of Information Retrieval Systems (1959)

“Information retrieval is now an accepted part of the new discipline of information science and technology… I have concentrated on the field with which I am most familiar, the problems of bibliographic description and subject analysis.”

Brian Campbell Vickery

B.C. Vickery (1970) Techniques of information retrieval, London: Butterworth. p. v; As cited in: Lyn Robinson and David Bawden (2011) " Brian Vickery and the foundations of information science http://www.iskouk.org/conf2011/papers/robinson.pdf".

“The classification of subject matter may be carried out for all sort of special purposes - to arrange books on shelves, to group inventions in patents, to classify the raw materials, intermediates and products of importance to a particular manufacturer, and so on. All such arrangements have their particular uses and their particular problems.”

Brian Campbell Vickery

Preface to the first edition.
Classification and indexing in science (1958)

“Four basic operations in the effective use of graphic records (documents), to store information and make it available, have been listed by Hyslop: A, recording information in documents; B, storing recorded information—documentary items; C, identifying items containing information relevant to a given problem, situation, or subject; D, providing the identified items from storage. Information storage and retrieval in the wide sense covers all these operations. In the narrow sense used in this paper, information retrieval means only C, identifying documentary items by subject.”

Brian Campbell Vickery

Source: The Structure of Information Retrieval Systems (1959), p. 1275.