-
Böhle, K.; Riehm, U.: German fulltexts in working contexts : empirical findings on how end-users make use of fulltext databases (1989)
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- Abstract
- Reports the result of a brief review of West German full text data bases and a user survey of over 40 users in the fields of medicine, law and economics. Questions common assumptions about the advantages and disadvantages of full text data bases.
- Pages
- S.505-512
- Type
- a
-
Kristensen, J.; Järvelin, K.: ¬The effectiveness of a searching thesaurus in free-text searching in a full-text database (1990)
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- Source
- International classification. 17(1990), S.77-84
- Type
- a
-
Markey, K.; Atherton, P.; Newton, C.: ¬An analysis of controlled vocabulary and free text search statements in online searches (1980)
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- Source
- Online review. 4(1980), S.225-236
- Type
- a
-
Warner, A.J.: ¬The role of linguistic analysis in full-text retrieval (1994)
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- Pages
- S.265-275
- Source
- Challenges in indexing electronic text and images. Ed.: R. Fidel et al
- Type
- a
-
Silva, E.M. da: Comparing the use of full text search between a conventional IR System and a DBMS (2018)
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- Pages
- S.120-127
- Source
- Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
- Type
- a
-
Basch, R.: Searching full-text : tips and techniques (1992)
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- Abstract
- Gives tips for effective searching of full-text databases: think creatively about vocabulary and use of the OR connector to link synonyms; use truncation to pick up plurals and alternative work endings; anticipate international differences in spellimg, likie 'labor' and 'labour', and in vocabulary, like 'truck' and 'lorry'; avoid the AND operator, preferring proximity connectors like NEAR, WITHIN or PRE; use jargon instead of trying to anticipate all the abstract terminology that a writer might have used; and exploit any indexing available
- Source
- Information today. 9(1992) no.10, S.10-12
- Type
- a
-
Magennis, M.: Expert rule-based query expansion (1995)
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- Abstract
- Examines how, for term based free text retrieval, Interactive Query Expansion (IQE) provides better retrieval performance tahn Automatic Query Expansion (AQE) but the performance of IQE depends on the strategy employed by the user to select expansion terms. The aim is to build an expert query expansion system using term selection rules based on expert users' strategies. It is expected that such a system will achieve better performance for novice or inexperienced users that either AQE or IQE. The procedure is to discover expert IQE users' term selection strategies through observation and interrogation, to construct a rule based query expansion (RQE) system based on these and to compare the resulting retrieval performance with that of comparable AQE and IQE systems
- Source
- New review of document and text management. 1995, no.1, S.63-83
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
- Type
- a
-
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
- Type
- a
-
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
- Type
- a
-
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
- Source
- Library technology news. 9(1993), S.3-4
- Type
- a
-
Moukdad, H.; Large, A.: Information retrieval from full-text arabic databases : can search engines designed for English do the job? (2001)
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- Source
- Libri. 51(2001) no.2, S.63-74
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- a
-
Falk, H.: Building and using document databases (1998)
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- Source
- Electronic library. 16(1998) no.1, S.55-59
- Type
- a
-
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
- Pages
- S.34-39
- Type
- s
-
Meunier, J.-G.; Bertrand-Gastaldy, S.; Lebel, H.: ¬A call for enhanced representation of content as a means of improving online full-text retrieval (1987)
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- Abstract
- Given the phenomena of growth and diversification which affect both text databases and their users, it is essential to reflect on the nature of textual information and its representation within the very particular framework of interactive retrieval systems. The latter aim to correlate two types of conceptual structures, that of the user and that of the text, by way of a third structure - the interface. A typology of levels, of representation is proposed (typographical, lexical, statistical, linguistic, semiotic, and pragmatic). These representations, obtained by means of a multiplicity of strategies (intra-sentence, intratextual, intertextual) applied to different units of information and interrelated, render the interaction between diverse users and the database more flexible and more adaptable
- Source
- International classification. 14(1987), S.2-10
- Type
- a
-
Falk, H.: Document file searching (1998)
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- Source
- Electronic library. 16(1998) no.3, S.199-203
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- a
-
Turtle, H.; Flood, J.: Query evaluation : strategies and optimizations (1995)
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- Abstract
- Discusses the 2 major query evaluation strategies used in large text retrieval systems and analyzes the performance of these strategies. Discusses several optimization techniques that can be used to reduce evaluation costs and present simulation results to compare the performance of these optimization techniques when evaluating natural language queries with a collection of full text legal materials
- Source
- Information processing and management. 31(1995) no.6, S.831-850
- Type
- a
-
Paijmans, H.: Gravity wells of meaning : detecting information rich passages in scientific texts (1997)
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- Abstract
- Presents research in which 4 term weigthing schemes were used to detect information rich passages in texts and the results compared. Demonstrates that word categories and frequency derived weights have a close correlation but that weighting according to the first mention theory or the cue method shows no correlation with frequency based weights
- Source
- Journal of documentation. 53(1997) no.5, S.520-536
- Type
- a
-
Voorbij, H.: Title keywords and subject descriptors : a comparison of subject search entries of books in the humanities and social sciences (1998)
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- Abstract
- In order to compare the value of subject descriptors and title keywords as entries to subject searches, two studies were carried out. Both studies concentrated on monographs in the humanities and social sciences, held by the online public access catalogue of the National Library of the Netherlands. In the first study, a comparison was made by subject librarians between the subject descriptors and the title keywords of 475 records. They could express their opinion on a scale from 1 (descriptor is exactly or almost the same as word in title) to 7 (descriptor does not appear in title at all). It was concluded that 37 per cent of the records are considerably enhanced by a subject descriptor, and 49 per cent slightly or considerably enhanced. In the second study, subject librarians performed subject searches using title keywords and subject descriptors on the same topic. The relative recall amounted to 48 per cent and 86 per cent respectively. Failure analysis revealed the reasons why so many records that were found by subject descriptors were not found by title keywords. First, although completely meaningless titles hardly ever appear, the title of a publication does not always offer sufficient clues for title keyword searching. In those cases, descriptors may enhance the record of a publication. A second and even more important task of subject descriptors is controlling the vocabulary. Many relevant titles cannot be retrieved by title keyword searching because of the wide diversity of ways of expressing a topic. Descriptors take away the burden of vocabulary control from the user.
- Source
- Journal of documentation. 54(1998) no.4, S.466-476
- Type
- a
-
Tenopir, C.: Full text database retrieval performance (1985)
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- Source
- Online review. 9(1985), S.149-164
- Type
- a
-
Ojala, M.: Research into full-text retrieval (1990)
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- Source
- Database. 13(1990) August, S.78-80
- Type
- a
