-
Salton, G.: Another look at automatic text-retrieval systems (1986)
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- Footnote
- Bezugnahme auf: Blair, D.C.: An evaluation of retrieval effectiveness for a full-text document-retrieval system. Comm. ACM 28(1985) S.280-299. - Vgl. auch: Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23; Blair, D.C., M.E. Maron: full-text information retrieval ... Inf. Proc. Man. 26(1990) S.437-447.
- Source
- Communications of the Association for Computing Machinery. 29(1986), S.648-656
-
Blair, D.C.; Maron, M.E.: ¬An evaluation of retrieval effectiveness for a full-text document-retrieval system (1985)
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- Footnote
- Vgl. auch : Salton, G.: Another look ... Comm. ACM 29(1986) S.S.648-656; Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23: Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. proc. man. 26(1990) S.437-447.
-
Wenzel, F.: Semantische Eingrenzung im Freitext-Retrieval auf der Basis morphologischer Segmentierungen (1980)
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- Abstract
- The basic problem in freetext retrieval is that the retrieval language is not properly adapted to that of the author. Morphological segmentation, where words with the same root are grouped together in the inverted file, is a good eliminator of noise and information loss, providing high recall but low precision
- Source
- Nachrichten für Dokumentation. 31(1980) H.1, S.29-35
-
Laegreid, J.A.: SIFT: a Norwegian information retrieval system (1993)
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- Abstract
- Describes SIFT (Search in Free Text) an information retrieval system originally developed for administering governmental documents in Norway but which is now being applied alsewhere. SIFT handles structured information well. A library system, SIFT-BIBL, is now available. SIFT's retrieval engine and search facilities are powerful. Its user interface is limited but being imporved. An application programmer interface has been released which will allow programmers to develop their own interface. A Windows-based- client-server version is now being beta tested
- Date
- 23. 1.1999 19:22:09
-
Blair, D.C.: Full text retrieval : Evaluation and implications (1986)
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- Abstract
- Recently, a detailed evaluation of a large, operational full-text document retrieval system was reported in the literature. Values of precision and recall were estimated usind traditional statistical sampling methods and blind evaluation procedures. The results of this evaluation demonstrated that the system tested was retrieving less then 20% of the relevant documents when the searchers believed it was retrieving over 75% of the relevant documents. This evaluation is described including some data not reported in the original article. Also discussed are the implications which this study has for how the subjects of documents should be represented, as well as the importance of rigorous retrieval evaluations for the furtherhance of information retrieval research
- Footnote
- Vgl.: Blair, D.C., M.E. Maron: An evaluation ... Comm. ACM 28(1985) S.280-299; Salton, G.: Another look ... Comm. ACM 29(1986) S.648-656; Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. Proc. Man. 26(1990) S.437-447.
-
Albus, W.; Smulders, H.: Doeltreffend zoeken in volledige teksten : 1. full-text retrieval bij de HavenInformatieBank (1998)
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- Abstract
- At Rotterdam Ports Authority in the Netherlands the Habour information database includes a press cuttings service and various online databases. To enable research staff to have direct access to information the POINT (Point Information Net) was begun in 1993. Using Verity software POINT provides simultaneously full text searching on a range of databases. The software uses current Web indexing technqiues to overcome the problems of excessive recall and low precision. A key element is the system's ability to recognise word combinations
- Date
- 29. 7.1998 19:54:49
- Footnote
- Übers. d. Titels: Effective searching on full texts: 1. full-text-retrieval on the Harbour information database
-
Full-text retrieval (1996)
0.03
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- Abstract
- A special section devoted to full text information retrieval
- Source
- Journal of the American Society for Information Science. 47(1996) no.4, S.261-330
-
Zillmann, H.: OSIRIS und eLib : Information Retrieval und Search Engines in Full-text Databases (2001)
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- Date
- 14. 6.2001 12:22:31
-
Frederick, S.C.: SIRE: full-text retrieval with augmented search (1985)
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- Source
- Information today. 2(1985), S.7-25
-
Tauchert, W.; Hospodarsky, J.; Krause, J.; Schneider, C.; Womser-Hacker, C.: Effects of linguistic functions on information retrieval in a German language full-text database : comparison between retrieval in abstract and full text (1991)
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-
Ro, J.S.: ¬An evaluation of the applicability of ranking algorithms to improve the effectiveness of full-text retrieval : 1. On the effectiveness of full-text retrieval (1988)
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- Source
- Journal of the American Society for Information Science. 39(1988), S.73-78
-
Ashford, J.H.; Matkin, D.I.: Studies in the application of free text package systems for information storage and retrieval in libraries and related information centres (1982)
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-
Sievert, M.E.C.: Full-text information retrieval : an introduction (1996)
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- Source
- Journal of the American Society for Information Science. 47(1996) no.4, S.261-262
-
Sievert, M.C.: Full-text information retrieval : introduction (1996)
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- Abstract
- Introduces a special section devoted to full text information retrieval. Gives an overview of full text databases and research into them. There is a lack of a single definition of full text. Articles in the library related literature about full text have appeared with increasing frequnecy
- Source
- Journal of the American Society for Information Science. 47(1996) no.4, S.261-262
-
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
- Imprint
- Medford, New Jersey : Learned Information
- Source
- ASIS'89. Managing information and technology. Proceedings of the 52nd annual meeting of the American Society for Information Science, Washington D.C., 30.10.-2.11.1989. Vol.26. Ed.by J. Katzer and G.B. Newby
-
Bernstein, L.M.; Williamson, R.E.: Testing of a natural language retrieval system for a full text knowledge base (1984)
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- Source
- Journal of the American Society for Information Science. 35(1984), S.235-247
-
Warner, A.J.: ¬The role of linguistic analysis in full-text retrieval (1994)
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- Imprint
- Medford, NJ : Learned information
-
Ashford, J.H.: Full text retrieval in document management : a review (1995)
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- Abstract
- Full text management which applied to document management tends to be centred on text storage and retrieval. Recent developments are concerned with integration with relational database management system products to deliver document management services offering both the flexibility of text retrieval and the ability to support process based funnctions. There has been a move towards client server architectures, more user friendly user interfaces and more flexible and easier to understand retrieval. Advocates caution in choosing tasks for full text methods. Identifies document management functions for which the combined use of database management systems or special purpose tools should be considered
- Source
- Information management and technology. 28(1995) no.1, S.28-32
-
Sieverts, E.G.; Hofstede, M.; Groeniger, B.O.: Software for information storage and retrieval tested, evaluated and compared : pt.4: indexing and full-text retrieval programs (1992)
0.02
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- Abstract
- In this article, the fourth in a series on microcomputer software for information storage and retrieval, test results of six indexing and full-text retrieval programs are presented and various properties and qualities of these programs are discussed. The common faeture of programs in these categories is that they are primarily meant to retrieve words (or combination of them) in large text files. To do this they either simply index existing text files in one or more formats (indexing programs), or they store and index them in their own database format (full-text retrieval programs). The programs reviewed in this issue are the indexing programs Ask-it, Texplore and ZYindex and the full-text retrieval programs KAware, textMaster and WordCruncher. All programs run under MS-DOS. In addition ZYindex has a Windows and a Unix version and TextMaster is also available for for Unix. For each of the six programs almost 100 facts and test results are tabulated. The programs are also discussed individually
-
Muddamalle, M.R.: Natural language versus controlled vocabulary in information retrieval : a case study in soil mechanics (1998)
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- Abstract
- The effectiveness ot two information retrieval tools, namely, thesaurus and natural language, in an information retrieval system has been studies. A database SOILSC was created using a HP3000/58 series minicomputer and MINISIS software. Records of articles totalling 17.918 published in various journals, received in the Central Water and Power Research Station (CWPRS) library (Pune, India) since 1988, have been stored. The information needs of a soil mechanics group have been formulated using thesaurus and natural language into 81 search strategies. In consultation with the user, relevance of the retrieved documents was assessed and, recall (R) and precision (P) values were calculated. Since both thesaurus and natural language have shown identical performance in information retrieval, a combination of these two have been suggested for making searches and providing relevant information
- Source
- Journal of the American Society for Information Science. 49(1998) no.10, S.881-887
