-
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
-
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
-
Shewale, N.G.: Information delivery of full-text databases in academic and research libraries using hypermedia (1998)
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- Abstract
- Discusses the introduction of hypermedia in information delivery and its advantages. Describes the special features in the design of full text databases and steps in developing in-house hypermedia databases. It may not be the job of the library professionals to design and develop the hypermedia system for information retrieval, but their ideas and experience will play an important role
- Source
- Information management in academic and research libraries: Proceedings of the 5th National convention for Automation of Libraries in Education and Research (CALIBER-98), Bhubaneswar, India, 4-5 March 1998. Ed. by M. Mahapatra et al
-
Blair, D.C.; Maron, M.E.: Full-text information retrieval : further analysis and clarification (1990)
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- Source
- Information processing and management. 26(1990), S.437-447
-
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
-
Molto, M.: Improving full text search performance through textual analysis (1993)
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- Source
- Information processing and management. 29(1993) no.5, S.614-632
-
Kristensen, J.: Expanding end-users' query statements for free text searching with a search-aid thesaurus (1993)
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- Source
- Information processing and management. 29(1993) no.6, S.733-744
-
Turtle, H.; Flood, J.: Query evaluation : strategies and optimizations (1995)
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- Source
- Information processing and management. 31(1995) no.6, S.831-850
-
Melucci, M.: Passage retrieval : a probabilistic technique (1998)
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- Source
- Information processing and management. 34(1998) no.1, S.43-68
-
Pirkola, A.; Jarvelin, K.: ¬The effect of anaphor and ellipsis resolution on proximity searching in a text database (1995)
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- Abstract
- So far, methods for ellipsis and anaphor resolution have been developed and the effects of anaphor resolution have been analyzed in the context of statistical information retrieval of scientific abstracts. No significant improvements has been observed. Analyzes the effects of ellipsis and anaphor resolution on proximity searching in a full text database. Anaphora and ellipsis are classified on the basis of the type of their correlates / antecedents rather than, as traditional, on the basis of their own linguistic type. The classification differentiates proper names and common nouns of basic words, compound words, and phrases. The study was carried out in a newspaper article database containing 55.000 full text articles. A set of 154 keyword pairs in different categories was created. Human resolution of keyword ellipsis and anaphora was performed to identify sentences and paragraphs which would match proximity searches after resolution. Findings indicate that ellipsis and anaphor resolution is most relevant for proper name phrases and only marginal in the other keyword categories. Therefore the recall effect of restricted resolution of proper name phrases only was analyzed for keyword pairs containing at least 1 proper name phrase. Findings indicate a recall increase of 38.2% in sentence searches, and 28.8% in paragraph searches when proper name ellipsis were resolved. The recall increase was 17.6% sentence searches, and 19.8% in paragraph searches when proper name anaphora were resolved. Some simple and computationally justifiable resolution method might be developed only for proper name phrases to support keyword based full text information retrieval. Discusses elements of such a method
- Source
- Information processing and management. 32(1996) no.2, S.199-216
-
Sormunen, E.: Free-text searching in full-text databases : probing system limits (1993)
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- Imprint
- Oxford : Learned Information
- Source
- Online information 93: 17th International Online Meeting Proceedings, London, 7.-9.12.1993. Ed. by D.I. Raitt et al
-
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
-
Tenopir, C.: Full text databases (1984)
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- Source
- Annual review of information science and technology. 19(1984), S.215-246
-
Frederick, S.C.: SIRE: full-text retrieval with augmented search (1985)
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- Source
- Information today. 2(1985), S.7-25
-
DiMartino, D.; Zoe, L.R.: End-user full text searching : access or excess? (1996)
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- Source
- Library and information science research. 18(1996) no.2, S.133-150
-
Reinisch, F.: Wer suchet - der findet? : oder Die Überwindung der sprachlichen Grenzen bei der Suche in Volltextdatenbanken (2000)
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- Date
- 22. 7.2000 17:48:06
-
Dambeck, H.; Engler, T.: Gesucht und gefunden : Neun Volltext-Suchprogramme für den Desktop (2002)
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- Source
- c't. 2002, H.22, S.190-197
-
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
-
Bernard, M.: Modelling the efficient access to full-text information (1996)
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- Abstract
- Describes a research goal set by many offices within the US Department of Energy. Reviews efficient full text searching techniques being developed to better understand and meet this goal. Classical computer human interaction (CHI) approaches provided by commercial information retrieval engines fail to contextualize information in ways that facilitates timely decision making. Discusses the uses of advanced CHI techniques in combination with deductive database technology to augment the weaknesses found in the presentation capabilities of information retrieval engines. Presents various techniques employed in a WWW based prototype system currently under development
- Imprint
- Medford, NJ : Information Today
