-
Pritchard, J.: Information retrieval : smarter indexing (1991)
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- Abstract
- Describes full text retrieval (FTR) which indexes every occurrence of every word except defined 'stop' words. This permits much more sophisticated searching than with keyword indexing. Also discusses document imaging processing (DIP). Lists suppliers and users of the software and describes the experiences of ESOO's Planning Division with Computer Intertrade Ltd. (CIL) ImagePro DIP and their operational practices
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Yongcheng, W.; Xiaoming, G.; Lixia, W.: Automatic indexing on subject of Chinese text (1998)
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- Abstract
- Outlines the underlying ideas, the basic algorithm and structure of CSAIS 2.1, an automatic indexing system for the subjects of Chinese documents, developed by the authors in 1993
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Milstead, J.L.: Methodologies for subject analysis in bibliographic databases (1992)
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- Abstract
- The goal of the study was to determine the state of the art of subject analysis as applied to large bibliographic data bases. The intent was to gather and evaluate information, casting it in a form that could be applied by management. There was no attempt to determine actual costs or trade-offs among costs and possible benefits. Commercial automatic indexing packages were also reviewed. The overall conclusion was that data base producers should begin working seriously on upgrading their thesauri and codifying their indexing policies as a means of moving toward development of machine aids to indexing, but that fully automatic indexing is not yet ready for wholesale implementation
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Gibb, F.; Smart, G.: Knowledge-based indexing : the view from SIMPR (1991)
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-
Clavel, G.; Walther, F.; Walther, J.: Indexation automatique de fonds bibliotheconomiques (1993)
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- Abstract
- A discussion of developments to date in the field of computerized indexing, based on presentations given at a seminar held at the Institute of Policy Studies in Paris in Nov 91. The methods tested so far, based on a linguistic approach, whether using natural language or special thesauri, encounter the same central problem - they are only successful when applied to collections of similar types of documents covering very specific subject areas. Despite this, the search for some sort of universal indexing metalanguage continues. In the end, computerized indexing works best when used in conjunction with manual indexing - ideally in the hands of a trained library science professional, who can extract the maximum value from a collection of documents for a particular user population
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Thiel, T.J.: Automated indexing of information stored on optical disk electronic document image management systems (1994)
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-
Zeng, L.: Automatic indexing for Chinese text : problems and progress (1992)
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-
Silvester, J.P.: Computer supported indexing : a history and evaluation of NASA's MAI system (1998)
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Hlava, M.M.K.: Machine-Aided Indexing (MAI) in a multilingual environemt (1992)
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- Abstract
- The Machine-Aided Indexing (MAI) program, developed by Access Innovations, Inc., is a semantic based, Boolean statement, rule interpreting application designed to operate in a multilingual environment. Use of MAI across several languages with controlled vocabularies for each language provides a consistency in indexing not available through any other mechanism
-
Garfield, E.: ¬The relationship between mechanical indexing, structural linguistics and information retrieval (1992)
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- Abstract
- It is possible to locate over 60% of indexing terms used in the Current List of Medical Literature by analysing the titles of the articles. Citation indexes contain 'noise' and lack many pertinent citations. Mechanical indexing or analysis of text must begin with some linguistic technique. Discusses Harris' methods of structural linguistics, discourse analysis and transformational analysis. Provides 3 examples with references, abstracts and index entries
-
Alexander, M.: Retrieving digital data with fuzzy matching (1996)
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- Abstract
- Briefly describes the Excalibur EFS system which makes use of adaptive pattern recognition technology as an aid to automatic indexing and how it is being tested at the British Library for the indexing and retrieval of scanned images from the library's holdings. Notes how Excalibur EFS can support a wide degree of fuzzy searching, compensate for the errors produced by OCR conversion of scanned images, reduce the costs of indexing, and require far less storage space than more traditional indexes
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Leyva, I.G.; Munoz, J.V.R.: Tendencias en los sistemas de indizacion automatica : estudio evolutivo (1996)
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- Abstract
- Early research at the end of the 1950s on computerized indexing used statistical methods based on e.g. frequency, probability, clustering, and relevance. In the 1960s interest began to focus on linguistic analysis and natural language processing e.g. morphological, morphosyntactical, syntactical and semantic analysis. Since the 1980s computerized indexing research has widened to include images, graphics and sound. Examples are given of notable systems developed within each line of approach
- Footnote
- Übers. d. Titels: Tendencies in computerized indexing systems: an evolutionary study
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Leung, C.-H.; Kan, W.-K.: ¬A statistical learning approach to automatic indexing of controlled index terms (1997)
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- Abstract
- A statistical learning approach to assigning controlled index terms is presented. In this approach, there are two processes: (1) the learning process and (2) the indexing process. The learning process constructs a relationship between an index term and the words relevant and irrelevant to it, based on the positive training set and negative training set, and those not indexed by it, respectively. The indexing process determines whether an index term is assigned to a certain document, based on the relationship constructed by the learning process, and the text found in the document. Furthermore, a learning feedback technique is introduced. This technique used in the learning process modifies the relationship between an index term and its relevant and irrelevant words to improve the learning performance and, thus, the indexing performance. Experimental results have shown that the statistical learning approach and the learning feedback technique are practical means to automatic indexing of controlled index terms
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MacDougall, S.: Rethinking indexing : the impact of the Internet (1996)
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- Abstract
- Considers the challenge to professional indexers posed by the Internet. Indexing and searching on the Internet appears to have a retrograde step, as well developed and efficient information retrieval techniques have been replaced by cruder techniques, involving automatic keyword indexing and frequency ranking, leading to large retrieval sets and low precision. This is made worse by the apparent acceptance of this poor perfromance by Internet users and the feeling, on the part of indexers, that they are being bypassed by the producers of these hyperlinked menus and search engines. Key issues are: how far 'human' indexing will still be required in the Internet environment; how indexing techniques will have to change to stay relevant; and the future role of indexers. The challenge facing indexers is to adapt their skills to suit the online environment and to convince publishers of the need for efficient indexes on the Internet
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Hersh, W.R.; Hickam, D.H.: ¬A comparison of two methods for indexing and retrieval from a full-text medical database (1992)
0.02
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- Abstract
- Reports results of a study of 2 information retrieval systems on a 2.000 document full text medical database. The first system, SAPHIRE, features concept based automatic indexing and statistical retrieval techniques, while the second system, SWORD, features traditional word based Boolean techniques, 16 medical students at Oregon Health Sciences Univ. each performed 10 searches and their results, recorded in terms of recall and precision, showed nearly equal performance for both systems. SAPHIRE was also compared with a version of SWORD modified to use automatic indexing and ranked retrieval. Using batch input of queries, the latter method performed slightly better
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Silvester, J.P.; Genuardi, M.T.; Klingbiel, P.H.: Machine-aided indexing at NASA (1994)
0.02
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- Abstract
- Describes the NASA Lexical Dictionary (NLD), a machine aided indexing system used online at the NASA Center for AeroSpace Information (CASI). This system automatically suggests a set of candidate terms from NASA's controlled vocabulary for any designated natural language text input. The system is comprised of a text processor that is based on the computational, nonsyntactic analysis of input text and an extensive knowledge base that serves to recognize and translate text-extracted concepts. The functions of the various NLD system components are described in detail, and production and quality benefits resulting from the implementation of machine-aided indexing at CASI are discussed
-
Lepsky, K.; Siepmann, J.; Zimmermann, A.: Automatische Indexierung für Online-Kataloge : Ergebnisse eines Retrievaltests (1996)
0.02
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- Abstract
- Examines the effectiveness of automated indexing and presents the results of a study of information retrieval from a segment (40.000 items) of the ULB Düsseldorf database. The segment was selected randomly and all the documents included were indexed automatically. The search topics included 50 subject areas ranging from economic growth to alternative energy sources. While there were 876 relevant documents in the database segment for each of the 50 search topics, the recall ranged from 1 to 244 references, with the average being 17.52 documents per topic. Therefore it seems that, in the immediate future, automatic indexing should be used in combination with intellectual indexing
-
Hlava, M.M.K.: Machine aided indexing (MAI) in a multilingual environment (1993)
0.02
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- Abstract
- The machine aided indexing (MAI) software devloped by Access Innovations, Inc., is a semantic based, Boolean statement, rule interpreting application with 3 modules: the MA engine which accepts input files, matches terms in the knowledge base, interprets rules, and outputs a text file with suggested indexing terms; a rule building application allowing each Boolean style rule in the knowledge base to be created or modifies; and a statistical computation module which analyzes performance of the MA software against text manually indexed by professional human indexers. The MA software can be applied across multiple languages and can be used where the text to be searched is in one language and the indexes to be output are in another
-
Gödert, W.; Liebig, M.: Maschinelle Indexierung auf dem Prüfstand : Ergebnisse eines Retrievaltests zum MILOS II Projekt (1997)
0.02
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- Abstract
- The test ran between Nov 95-Aug 96 in Cologne Fachhochschule fur Bibliothekswesen (College of Librarianship).The test basis was a database of 190,000 book titles published between 1990-95. MILOS II mechanized indexing methods proved helpful in avoiding or reducing numbers of unsatisfied/no result retrieval searches. Retrieval from mechanised indexing is 3 times more successful than from title keyword data. MILOS II also used a standardized semantic vocabulary. Mechanised indexing demands high quality software and output data
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Smith, P.J.; Normore, L.F.; Denning, R.; Johnson, W.P.: Computerized tools to support document analysis (1994)
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- Source
- Challenges in indexing electronic text and images. Ed.: R. Fidel et al
