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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 49 1 RMIT University at TREC 2009: Web Track Garcia, Steven In: DTIC (2009) BASE Show details 2 Sparse Matrix Factorization: Applications to Latent Semantic Indexing Moulding, Erin; Kontostathis, April; Spiteri, Raymond J. In: DTIC (2009) BASE Show details 3 Optimal Mixture Models in IR Lavrenko, Victor In: DTIC AND NTIS (2005) BASE Show details 4 Beyond MARC: New Trends for the Library of the Future Mayes, Bessie In: DTIC (2003) BASE Show details 5 Learning to Identify TV News Monologues by Style and Context Snoek, Cees G.; Hauptmann, Alexander G. In: DTIC (2003) BASE Show details 6 NLP Track at TREC-5 Strzalkowski, Tomek; Jones, Karen S. In: DTIC (1996) BASE Show details 7 Bridging the Communication Gap (Combler les Lacunes dans le Domaine de la Communication) In: DTIC AND NTIS (1991) BASE Show details 8 The NATO Thesaurus Project Krueger, Jonathan In: DTIC AND NTIS (1990) BASE Show details 9 Federal Armed Forces Documentation and Information Centre Mueller, Jan In: DTIC AND NTIS (1988) Abstract: The aim of content analysis of documents is to describe the intenstion of documents in condensed form as a documentation unit, to order and store it and to retrieve the document by user request. To do this, formal systems of ordering (classifications), indexing terms of natural language-based or artificial documentation languages as well as abstracts formulated in a natural language are employed. Whereas classing establishes paradigmatic relations, subject indexing provides the possibility to identify the content in a natural language and to establish syntagmatic relations; the process of indexing, indexing principles, methods and results are described; the existence and basic principles of thesauri are also discussed in this connection. In contrast, an abstract is a statement of contents formulated in a natural language with the purpose of setting forth not only the relevance but also the contents of a document concerning a specific subject; the different types of abstracts and the abstracting procedures are discussed. Retrieval is the reversal of the intellectual processes classing, indexing and abstracting, which is indicative of the special importance of these processes for the efficacy of technical information systems. ; This article is from 'The Organisation and Functions of Documentation and Information Centres in Defence and Aerospace Environments', AD-A214 323, p6-1 thru 6-8. Keyword: *INFORMATION PROCESSING; *SUBJECT INDEXING; Abstracting; ABSTRACTS; Component Reports; DOCUMENTS; INFORMATION RETRIEVAL; Information Science; NATURAL LANGUAGE; THESAURI; WEST GERMANY URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADP005828 http://www.dtic.mil/docs/citations/ADP005828 BASE Hide details 10 Learning Indices for Conceptual Information Retrieval: An Application of Explanation-Based Learning in Natural Language Processing. Mooney,Raymond; DeJong,Gerald In: DTIC AND NTIS (1987) BASE Show details 11 Artificial Intelligence Indexing: Creating Knowledge Bases of Index Terms Ordered by Semantic Relations. Myers,Jay J; Kamemoto,David Y; Griffin,Arthur F In: DTIC AND NTIS (1985) BASE Show details 12 U. S. Navy Tactical Digital Systems Tactical Data Systems Glossary. In: DTIC AND NTIS (1976) BASE Show details 13 Information Sciences: Data and Information Handling, Storing, Retrieving and Dissemination. In: DTIC AND NTIS (1976) BASE Show details 14 Automatic Informative Abstracting and Extracting. Part I. Experiments in the Use of Syntactic Information in Automatic Extracting and Indexing. Earl,Lois L. In: DTIC AND NTIS (1973) BASE Show details 15 Semantic Information Retrieval for Verbal Data. Blum, Fredric M.; Harris, Regina M.; Epstein, Samuel D.... In: DTIC AND NTIS (1972) BASE Show details 16 Automatic Informative Abstracting and Extracting. Earl,L. L.; Firschein,O.; Fischler,M. A. In: DTIC AND NTIS (1972) BASE Show details 17 Scientific and Technical Information. Series 2. Information Processes and Systems. Number 6, 1969 (Selected Portions) Shemakin,Yu. I. In: DTIC AND NTIS (1971) BASE Show details 18 Annual Report: Automatic Informative Abstracting and Extracting. Earl,L. L.; Firschein,O,; Fischler,M. A. In: DTIC AND NTIS (1971) BASE Show details 19 Language of Information Science: Convertibility in Information Science Fuellhart, Patricia O.; Weeks, David C. In: DTIC AND NTIS (1971) BASE Show details 20 Descriptive Representations of Remotely Sensed Image Data Firschein,O.; Fischler,M. A. In: DTIC AND NTIS (1971) BASE Show details Page: 1 2 3

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