-
Devadason, F.J.: Postulate-Based Permuted Subject Indexing Language as a metalanguage for computer-aided generation of information retrieval thesaurus (1983)
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- Abstract
- The development of the general theory of subject indexing language and of POPSI for organisation, storage and retrieval of subjects embodies in documents has a striking parallel in the search for and development of 'universal forms' and 'deep structure' in language and linguistic studies. This paper briefly traces the development of POPSI language as a metalanguage for information organisation and for generating information retrieval thesaurus. Also a computer-based system for generating an information retrieval thesaurus from modulated subject headings formulated according to POPSI which are enriched with certain codes for relating the terms in the subject headings is described. It is also mentioned that, if it is possible to form a table of equivalent terms in another language for the terms already used to generate the thesaurus, then it is possible to translate the thesaurus automatically into the other language
- Source
- International forum on information and documentation. 8(1983), S.22-29
-
Rolland-Thomas, P.: AACR2: one step towards an international code (1983)
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- Abstract
- The Anglo-American Cataloguing Rules, second edition, aim at universal applicability. Some problems brought forth through the translation process and the laws in the workability of rules in a nonEnglish working language are examined. This leads to acknowledge the failure of AACR2 to acquire an international adaptability. Enquiry into the needs of potential users is advised.
- Date
- 6. 1.2007 19:12:22
-
Hodges, P.R.: Keyword in title indexes : effectiveness of retrieval in computer searches (1983)
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- Abstract
- A study was done to test the effectiveness of retrieval using title word searching. It was based on actual search profiles used in the Mechanized Information Center at Ohio State University, in order ro replicate as closely as possible actual searching conditions. Fewer than 50% of the relevant titles were retrieved by keywords in titles. The low rate of retrieval can be attributes to three sources: titles themselves, user and information specialist ignorance of the subject vocabulary in use, and to general language problems. Across fields it was found that the social sciences had the best retrieval rate, with science having the next best, and arts and humanities the lowest. Ways to enhance and supplement keyword in title searching on the computer and in printed indexes are discussed.
- Date
- 14. 3.1996 13:22:21
-
Walker, S.: ¬The free language approach to online catalogues (1985)
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- Source
- Keyword catalogues and the free language approach. Ed.: P. Bryant
-
Schwarz, C.: THESYS: Thesaurus Syntax System : a fully automatic thesaurus building aid (1988)
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- Abstract
- THESYS is based on the natural language processing of free-text databases. It yields statistically evaluated correlations between words of the database. These correlations correspond to traditional thesaurus relations. The person who has to build a thesaurus is thus assisted by the proposals made by THESYS. THESYS is being tested on commercial databases under real world conditions. It is part of a text processing project at Siemens, called TINA (Text-Inhalts-Analyse). Software from TINA is actually being applied and evaluated by the US Department of Commerce for patent search and indexing (REALIST: REtrieval Aids by Linguistics and STatistics)
- Date
- 6. 1.1999 10:22:07
-
Dack, D.: Australian attends conference on Dewey (1989)
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- Abstract
- Edited version of a report to the Australian Library and Information Association on the Conference on classification theory in the computer age, Albany, New York, 18-19 Nov 88, and on the meeting of the Dewey Editorial Policy Committee which preceded it. The focus of the Editorial Policy Committee Meeting lay in the following areas: browsing; potential for improved subject access; system design; potential conflict between shelf location and information retrieval; and users. At the Conference on classification theory in the computer age the following papers were presented: Applications of artificial intelligence to bibliographic classification, by Irene Travis; Automation and classification, By Elaine Svenonious; Subject classification and language processing for retrieval in large data bases, by Diana Scott; Implications for information processing, by Carol Mandel; and implications for information science education, by Richard Halsey.
- Date
- 8.11.1995 11:52:22
-
Kashyap, M.M.: Algorithms for analysis and representation of subject contents in a documentary language (1983)
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- Source
- Library herald. 22(1983), S.1-29
-
Warner, A.J.: Natural language processing (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.79-108
-
Qiu, L.: Applicability of string indexing to the Chinese language with special reference to NEPHIS (1989)
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- Abstract
- The applicability of the three types of string indexing, as defined by Tim Craven, to the Chinese language is investigated. It was found that KWIC and KWOC indexing cannot be used for the Chinese language. Term list input string indexing is directly applicable to Chinese, but it has not been used. The applicability of coded input strings varies with different systems: the application of PRECIS to the Chinese language requires much effort while the adoption of NEPHIS to the Chinese language require fewer changes
-
Devadason, F.J.; Kumbhar, M.R.: Language and indexing language : Nalimor and Gardin revised (1988)
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- Abstract
- Studies the salient features of ordinary language as a means of designing languages for information storage and retrieval systems. Pays particular attention to the POPSI (Postulate-based Permuted Subject Indexing) language.
-
Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989)
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- Abstract
- Searches conducted as part of the MEDLINE/Full-Text Research Project revealed that the full-text data bases of clinical medical journal articles (CCML (Comprehensive Core Medical Library) from BRS Information Technologies, and MEDIS from Mead Data Central) did not retrieve all the relevant citations. An analysis of the data indicated that 204 relevant citations were retrieved only by MEDLINE. A comparison of the strategies used on the full-text data bases with the text of the articles of these 204 citations revealed that 2 reasons contributed to these failure. The searcher often constructed a restrictive strategy which resulted in the loss of relevant documents; and as in other kinds of retrieval, the problems of natural language caused the loss of relevant documents.
- Date
- 9. 1.1996 10:22:31
-
Wepsiec, J.: Language of the Library of Congress Subject Headings pertaining to society (1981)
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-
Graham, T.: ¬The free language approach to online catalogues : the user (1985)
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- Source
- Keyword catalogues and the free language approach. Ed.: Ph. Bryant
-
Fugmann, R.: On the practice of indexing and its theoretical foundations (1980)
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- Abstract
- This article introduces a series of 8 papers giving a survey of the decisions to be made in the choice of the most expedient indexing method and presenting a short description of the contents of each of the papers, namely: the definability of the requested information; individual vs. generic concepts; the predictibility of their mode of expression; the fidelity of concept representation: the indexing language vocabulary; the indexing language grammar; the category-controlled interplay between vocabulary and grammar in an indexing language; the practice of information supply: the personal file; the employment of a large indexing language vocabulary; eth employment of an indexing language syntax
-
Mooers, C.N.: ¬The indexing language of an information retrieval system (1985)
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- Abstract
- Calvin Mooers' work toward the resolution of the problem of ambiguity in indexing went unrecognized for years. At the time he introduced the "descriptor" - a term with a very distinct meaning-indexers were, for the most part, taking index terms directly from the document, without either rationalizing them with context or normalizing them with some kind of classification. It is ironic that Mooers' term came to be attached to the popular but unsophisticated indexing methods which he was trying to root out. Simply expressed, what Mooers did was to take the dictionary definitions of terms and redefine them so clearly that they could not be used in any context except that provided by the new definition. He did, at great pains, construct such meanings for over four hundred words; disambiguation and specificity were sought after and found for these words. He proposed that all indexers adopt this method so that when the index supplied a term, it also supplied the exact meaning for that term as used in the indexed document. The same term used differently in another document would be defined differently and possibly renamed to avoid ambiguity. The disambiguation was achieved by using unabridged dictionaries and other sources of defining terminology. In practice, this tends to produce circularity in definition, that is, word A refers to word B which refers to word C which refers to word A. It was necessary, therefore, to break this chain by creating a new, definitive meaning for each word. Eventually, means such as those used by Austin (q.v.) for PRECIS achieved the same purpose, but by much more complex means than just creating a unique definition of each term. Mooers, however, was probably the first to realize how confusing undefined terminology could be. Early automatic indexers dealt with distinct disciplines and, as long as they did not stray beyond disciplinary boundaries, a quick and dirty keyword approach was satisfactory. The trouble came when attempts were made to make a combined index for two or more distinct disciplines. A number of processes have since been developed, mostly involving tagging of some kind or use of strings. Mooers' solution has rarely been considered seriously and probably would be extremely difficult to apply now because of so much interdisciplinarity. But for a specific, weIl defined field, it is still weIl worth considering. Mooers received training in mathematics and physics from the University of Minnesota and the Massachusetts Institute of Technology. He was the founder of Zator Company, which developed and marketed a coded card information retrieval system, and of Rockford Research, Inc., which engages in research in information science. He is the inventor of the TRAC computer language.
- Footnote
- Original in: Information retrieval today: papers presented at an Institute conducted by the Library School and the Center for Continuation Study, University of Minnesota, Sept. 19-22, 1962. Ed. by Wesley Simonton. Minneapolis, Minn.: The Center, 1963. S.21-36.
-
Malsburg, C. von der: ¬The correlation theory of brain function (1981)
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- Abstract
- A summary of brain theory is given so far as it is contained within the framework of Localization Theory. Difficulties of this "conventional theory" are traced back to a specific deficiency: there is no way to express relations between active cells (as for instance their representing parts of the same object). A new theory is proposed to cure this deficiency. It introduces a new kind of dynamical control, termed synaptic modulation, according to which synapses switch between a conducting and a non- conducting state. The dynamics of this variable is controlled on a fast time scale by correlations in the temporal fine structure of cellular signals. Furthermore, conventional synaptic plasticity is replaced by a refined version. Synaptic modulation and plasticity form the basis for short-term and long-term memory, respectively. Signal correlations, shaped by the variable network, express structure and relationships within objects. In particular, the figure-ground problem may be solved in this way. Synaptic modulation introduces exibility into cerebral networks which is necessary to solve the invariance problem. Since momentarily useless connections are deactivated, interference between di erent memory traces can be reduced, and memory capacity increased, in comparison with conventional associative memory
- Source
- http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
-
Scott, D.S.: Subject classification and natural-language processing for retrieval in large databases (1989)
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- Abstract
- New forms of man-machine interaction are becoming available that have great power for the delivery of information. But the scales of speed and capacity on which the computing machines operate demand new thoughts as to how information can be stored and retrieved. The objective of the discussion in this paper is to argue for a combination of natural-language processing and subject classification to be able to meet the demands
-
Deschâtelets, G.: ¬The three languages theory in information retrieval (1986)
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- Abstract
- To an overwhelming extent, storage and retrieval systems were designed for information intermediaries who were specialists in formal, controlled documentation languages (e.g. classification systems, indexing languages) and who were then trained to utilize the query language of each retrieval system. However, with the advent of the microcomputer, there now exists, in the information retrieval industry, an obvious will to tackle both the professional and the personal information markets, as evidences by their more sophisticated yet more user-friendly systems and by the design and marketing of all sorts of interface software (front-end, gateway, intermediary). In order to make full advantage of these systems, the user must be able to master three different languages: the natural language of the discipline, the indexing language, and the system's query language. The author defines and characterizes each of these languages and identifies their issues and trends in the IR cycle and specifically in public online search services. Finally he proposes a theoretical model for the analysis of IR languages and suggests a few research avenues
-
Fugmann, R.: ¬The complementarity of natural and indexing languages (1985)
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- Abstract
- The second Cranfield experiment (Cranfield II) in the mid-1960s challenged assumptions held by librarians for nearly a century, namely, that the objective of providing subject access was to bring together all materials an a given topic and that the achieving of this objective required vocabulary control in the form of an index language. The results of Cranfield II were replicated by other retrieval experiments quick to follow its lead and increasing support was given to the opinion that natural language information systems could perform at least as effectively, and certainly more economically, than those employing index languages. When the results of empirical research dramatically counter conventional wisdom, an obvious course is to question the validity of the research and, in the case of retrieval experiments, this eventually happened. Retrieval experiments were criticized for their artificiality, their unrepresentative sampies, and their problematic definitions-particularly the definition of relevance. In the minds of some, at least, the relative merits of natural languages vs. indexing languages continued to be an unresolved issue. As with many eitherlor options, a seemingly safe course to follow is to opt for "both," and indeed there seems to be an increasing amount of counsel advising a combination of natural language and index language search capabilities. One strong voice offering such counsel is that of Robert Fugmann, a chemist by training, a theoretician by predilection, and, currently, a practicing information scientist at Hoechst AG, Frankfurt/Main. This selection from his writings sheds light an the capabilities and limitations of both kinds of indexing. Its special significance lies in the fact that its arguments are based not an empirical but an rational grounds. Fugmann's major argument starts from the observation that in natural language there are essentially two different kinds of concepts: 1) individual concepts, repre sented by names of individual things (e.g., the name of the town Augsburg), and 2) general concepts represented by names of classes of things (e.g., pesticides). Individual concepts can be represented in language simply and succinctly, often by a single string of alphanumeric characters; general concepts, an the other hand, can be expressed in a multiplicity of ways. The word pesticides refers to the concept of pesticides, but also referring to this concept are numerous circumlocutions, such as "Substance X was effective against pests." Because natural language is capable of infinite variety, we cannot predict a priori the manifold ways a general concept, like pesticides, will be represented by any given author. It is this lack of predictability that limits natural language retrieval and causes poor precision and recall. Thus, the essential and defining characteristic of an index language ls that it is a tool for representational predictability.
-
Subject analysis: summary report of the racism and sexism in subject analysis subcommittee to the RTSD/CCS subject analysis committee (1981)
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- Source
- RTSD newsletter. 6(1981), S.21-22
