Search results

On‐line update combines a bibliography of recent on‐line articles with a search example from a data base producer or an on‐line system vendor.

A distinction is made between information retrieval and knowledge transfer, in terms of which the latter activity assumes a much greater degree of conceptual organization. It is argued that the current generation of on‐line information‐retrieval systems must evolve into so‐called ‘second generation’ systems that will support the more demanding requirements for knowledge instead of information. It appears that the man/machine interactive inquiry systems characteristic of today's on‐line activities can form a good basis for knowledge transfer, and an approach is described in which the LEADERMART information system is used as the platform for a knowledge‐transfer system. A model is described for the on‐line management and transfer of problem‐solving knowledge. Several ways in which information flow can be converted to knowledge‐transfer activities are explored, although there appears to be no unique paradigm for this conversion. Instead, knowledge transfer is explicated in terms of enhancements to on‐line retrieval manipulations, featuring an ever increasing emphasis on such direct forms of information transfer as numerical data retrieval and the retrieval of answer‐indicating passages. A new question‐analyzing procedure, QUANSY, is described which functions with another new technique for information regeneration to provide a start toward genuine knowledge transfer.

The coverage of the literature on on‐line retrieval systems by eight major machine‐readable data bases was determined. A search profile executed on these data bases produced 397 unique references. Ranking the data bases by journal coverage, relevance percentage, and the number of relevant items retrieved only from that data base showed that at least six data bases needed to be searched to obtain a comprehensive bibliography. These six data bases, in order of productivity, are INSPEC, CA Condensates, Social Sciences Citation Index, ERIC, MEDLINE, and BIOSIS. The need for an on‐line data base in library and information science is discussed.

First of all, I must apologise for the interval between this VINE and the last. Unfortunately VINE's production cycle is growing longer as automated library systems become more complex, and consequently more time‐consuming to write up. Moreover, in this issue I have attempted in certain articles, for instance those on COM bureaux and the Telepen, to adopt a thematic approach to the subject, rather than reporting on individual projects. The process of cross‐checking the details of such articles with all the organisations concerned has been partly responsible for the delay in publishing VINE 17. Nevertheless in the long terms I still hope to increase the frequency with which VINE is published, thereby increasing its currency and decreasing the size of each individual issue.

We hope to make this column a means to communicate information about on‐line retrieval of all kinds. If you have any news or information concerning on‐line searching or systems, or if you know of an interesting story which we can follow up, please write to Tom Hogan, 74 Singletree Lane, Louisville, Kentucky 40291, USA.

Survey results of active research bioscientists invited to a summer conference are presented. A ranking of the sources used by respondents to obtain current and retrospective information shows that interactive searching is not a major source. Profiles are given of searchers, potential searchers, and non‐searchers. Causes of low search activity are discussed, and strategies are suggested to increase searching in academic environments.

The purpose of this paper is to introduce a new method of information retrieval by man‐machine interaction. The dialogue supported has more symmetry than most interactive computer systems in that the machine forms an image (rather as a man does) of the view of the human enquirer, without requiring him to ask a precise question, and responds with references according to its image. Initial tests with a prototype program indicate that a performance equal to that obtainable from a more conventional on‐line retrieval system is possible without obliging the user to formulate his query.

The command language devised for an experimental on‐line information retrieval system which uses an automatic Ultrafiche terminal to store and display the textual data is described. A conversational reference retrieval system was set up on a PDP‐8 minicomputer with a data base selected from Computer & control abstracts. Search facilities available include Boolean logic, left‐hand and right‐hand truncation, universal character, and a profile editor.

The most obvious symptom of the most obvious trend in the building of new libraries is the fact that, as yet, no spade has entered the ground of the site on Euston Road, London, upon which the new building for the British Library Reference Division has to be erected. Some twenty years of continued negotiation and discussion finally resulted in the choice of this site. The UK and much more of the world awaits with anticipation what could and should be the major building library of the twentieth century. The planning and design of a library building, however large or small, is, relatively speaking, a major operation, and deserves time, care and patience if the best results are to be produced.

Items of information that have been stored in a computer normally need to be accessed via their contents. In principle this is always possible by doing an exhaustive scan of the entire file of information, but to achieve the access efficiently we use some sort of organizing principle, a file organization or file structure, to reduce the amount anning. Typically the items retrieved are a response to a request which fully or partially specifies their contents. Often the file organization requires pre‐processing of the body of information so that a secondary body of information (an index or directory) may be created which in some sense reveals the contents of the file. So, ultimately file structures are time saving devices, where we pay for the time saved by extra storage. They enable us quickly to find items of information by completely or partially specifying their contents.