-
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
-
Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986)
0.05
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- Source
- Information processing and management. 22(1986) no.6, S.465-476
-
Biebricher, N.; Fuhr, N.; Lustig, G.; Schwantner, M.; Knorz, G.: ¬The automatic indexing system AIR/PHYS : from research to application (1988)
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- Date
- 16. 8.1998 12:51:22
- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.513-517.
- Source
- Proceedings of the 11th annual conference on research and development in information retrieval. Ed.: Y. Chiaramella
-
Knorz, G.: Automatische Indexierung (1994)
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- Date
- 29. 1.2011 17:56:21
- Series
- Berufsbegleitendes Ergänzungsstudium im Tätigkeitsfeld wissenschaftliche Information und Dokumentation (BETID): Lehrmaterialien; Nr.3
- Source
- Wissensrepräsentation und Information Retrieval. R.-D. Hennings u.a
-
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
-
Kim, P.K.: ¬An automatic indexing of compound words based on mutual information for Korean text retrieval (1995)
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- Abstract
- Presents an automatic indexing technique for compound words suitable for an agglutinative language, specifically Korean. Discusses some construction conditions for compound words and the rules for decomposing compound words to enhance the exhaustivity of indexing, demonstrating that this system, mutual information, enhances both the exhaustivity of indexing and the specifity of terms. Suggests that the construction conditions and rules for decomposition presented may be used in multilingual information retrieval systems to translate the indexing terms of the specific language into those of the language required
- Source
- Library and information science. 1995, no.34, S.29-38
-
Jardine, N.; Rijsbergen, C.J. van: ¬The use of hierarchic clustering in information retrieval (1971)
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- Source
- Information storage and retrieval. 7(1971), S.217-240
-
Sparck Jones, K.; Jackson, D.M.: ¬The use of automatically obtained keyword classification for information retrieval (1970)
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- Source
- Information storage and retrieval. 5(1970), S.175-201
-
Kantor, P.B.; Voorhees, E.: Information retrieval with scanned texts (2000)
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- Source
- Information retrieval. 2(2000), S.165-176
-
Salton, G.; Allan, J.; Buckley, C.; Singhal, A.: Automatic analysis, theme generation, and summarization of machine readable texts (1994)
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- Date
- 16. 8.1998 12:30:29
- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.478-483.
-
RIAO 91 : Computer aided information retrieval. Conference, Barcelona, 2.-4.5.1991 (1991)
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-
Sparck Jones, K.: Automatic keyword classification for information retrieval (1971)
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Hmeidi, I.; Kanaan, G.; Evens, M.: Design and implementation of automatic indexing for information retrieval with Arabic documents (1997)
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- Abstract
- A corpus of 242 abstracts of Arabic documents on computer science and information systems using the Proceedings of the Saudi Arabian National Conferences as a source was put together. Reports on the design and building of an automatic information retrieval system from scratch to handle Arabic data. Both automatic and manual indexing techniques were implemented. Experiments using measures of recall and precision has demonstrated that automatic indexing is at least as effective as manual indexing and more effective in some cases. Automatic indexing is both cheaper and faster. Results suggests that a wider coverage of the literature can be achieved with less money and produce as good results as with manual indexing. Compares the retrieval results using words as index terms versus stems and roots, and confirms the results obtained by Al-Kharashi and Abu-Salem with smaller corpora that root indexing is more effective than word indexing
- Date
- 29. 7.1998 17:40:01
- Source
- Journal of the American Society for Information Science. 48(1997) no.10, S.867-881
-
Bordoni, L.; Pazienza, M.T.: Documents automatic indexing in an environmental domain (1997)
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- Abstract
- Describes an application of Natural Language Processing (NLP) techniques, in HIRMA (Hypertextual Information Retrieval Managed by ARIOSTO), to the problem of document indexing by referring to a system which incorporates natural language processing techniques to determine the subject of the text of documents and to associate them with relevant semantic indexes. Describes briefly the overall system, details of its implementation on a corpus of scientific abstracts related to environmental topics and experimental evidence of the system's behaviour. Analyzes in detail an experiment designed to evaluate the system's retrieval ability in terms of recall and precision
- Source
- International forum on information and documentation. 22(1997) no.1, S.17-28
-
Dattola, R.T.: FIRST: Flexible information retrieval system for text (1979)
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- Source
- Journal of the American Society for Information Science. 30(1979), S.9-14
-
Garfield, E.; Sager, N.: Mechanical indexing, structural linguistics and information retrieval (1993)
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- Source
- Journal of information science. 19(1993) no.2, S.164-165
-
Salton, G.; McGill, M. J.: Information Retrieval: Grundlegendes für Informationswissenschaftler (1987)
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- Content
- Enthält die Kapitel: Information Retrieval: eine Einführung; Invertierte Dateisysteme; Textanalyse und automatisches Indexieren; Die experimentellen Retrievalsysteme SMART und SIRE; Die Bewertung von Retrievalsystemen; Fortgeschrittene Retrievaltechniken; Verarbeitung natürlicher Sprache; Informationstechnologie: Hardware und Software; Datenbankmanagementsysteme; Zukünftige Entwicklungen im Information Retrieval
-
Salton, G.: Automatic text processing : the transformation, analysis, and retrieval of information by computer (1989)
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- COMPASS
- Information retrieval / Use of / On-line computers
- Subject
- Information retrieval / Use of / On-line computers
-
Lepsky, K.; Vorhauer, J.: Lingo - ein open source System für die Automatische Indexierung deutschsprachiger Dokumente (2006)
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- Abstract
- Lingo ist ein frei verfügbares System (open source) zur automatischen Indexierung der deutschen Sprache. Bei der Entwicklung von lingo standen hohe Konfigurierbarkeit und Flexibilität des Systems für unterschiedliche Einsatzmöglichkeiten im Vordergrund. Der Beitrag zeigt den Nutzen einer linguistisch basierten automatischen Indexierung für das Information Retrieval auf. Die für eine Retrievalverbesserung zur Verfügung stehende linguistische Funktionalität von lingo wird vorgestellt und an Beispielen erläutert: Grundformerkennung, Kompositumerkennung bzw. Kompositumzerlegung, Wortrelationierung, lexikalische und algorithmische Mehrwortgruppenerkennung, OCR-Fehlerkorrektur. Der offene Systemaufbau von lingo wird beschrieben, mögliche Einsatzszenarien und Anwendungsgrenzen werden benannt.
- Date
- 24. 3.2006 12:22:02
-
Salton, G.; McGill, M. J.: Introduction to modern information retrieval (1983)
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