Search (922 results, page 1 of 47)

  • × year_i:[1990 TO 2000}
  • × language_ss:"e"
  1. Liu, Q.; Ng, P.A.: Document processing and retrieval : TEXPROS (1996) 0.07 
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  2. He, Q.: Knowledge discovery through co-word analysis (1999) 0.07 
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  3. Hill, L.L.; Zheng, Q.: Indirect geospatial referencing through place names in the digital library : Alexandra digital library experience with developing and implementing gazetteers (1999) 0.07 
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    Date
    29. 9.2001 20:22:45
  4. Dubin, D.; Kwasnik, B.H.; Tangmanee, C.: Elicitation techniques for classification research : pt.1: ordered trees; pt.2: repertory grids; pt.3: q-methodology (1994) 0.06 
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  5. Budzik, J.; Hammond, K.: Q&A: a system for the capture, organization and reuse of expertise (1999) 0.06 
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    Abstract
    It is a time-consuming and difficult task for an individual, a group, or an organization to systematically express and organize their expertise so it can be captured and reused. Yet the expertise of individuals within an organization is perhaps its most valuable resource. Q&A attempts to address this tension by providing an environment in which textual representations of expertise are captured as a byproduct of using the system as a semiautomatic question answering intermediary. Q&A mediates interactions between an expert and a question-asking user. It uses its experience referring questions to expert users to answer new questions by retrieving previously answered ones. If a user's question is not found within the collection of previously answered questions, Q&A suggests the set of experts who are most likely to be able to answer the question. The system then gives the user the option of passing a question along to one or more of these experts. When an expert answers a user's question, the resulting question answer pair is captured and indexed under a topic of the expert's choice for later use, and the answer is sent to the user. Unlike previous work on question-answering systems of this sort, Q&A does not assume a fixed hierarchy of topics. Rather, experts build the hierarchy themselves, as their corpus of questions grows. One of the main contributions of this work is a set of techniques for managing the emerging organization of textual representations of expertise over time by mediating the negotiation of shared representations among multiple experts
  6. Sieverts, E.G.; Hofstede, M.; Nieuwland, A.; Groeneveld, C.; Zwart, B. de: Software for information storage and retrieval tested, evaluated and compared : pt.6: various additional programs (1993) 0.05 
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    Abstract
    In this article, the sixth in a series on microcomputer software for information storage and retrieval, test results of nine programs are presented and various properties and qualities of these programs are discussed. We discuss additional programs for information storage and retrieval and for text retrieval from several of the various categories which have been looked at in previous instalments. On new (secondary) type of ISR software is defined as administrative software. The program review in this issue are BRS-Search, dtSearch, InfoBank, Micro-OPC, Q&A, STN-PFS, Strix, TINman and ZYIndex. All but dtSearch and ZYIndex can be regarded as primarily classical retrieval packages; Q&A boasts comprehensive administrative features as well; dtSearch and ZYIndex are indexing programs. For ZYIndex a new Windows version has been tested. All other programs run under MS-DOS. For each of the nine programs about 100 facts and test results are tabulated. All the programs are individually discussed as well
    Object
    Q&A
  7. Lee, E.S.; Zhu, Q.: Fuzzy and evidece reasoning (1995) 0.05 
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  8. Kantor, B.; Boros, E.; Melamed, B.; Menkov, V: ¬The information quest : a dynamic model of user's information needs (1999) 0.05 
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    Abstract
    In networked information environments, using server-browser architectures, nearly all information finding episodes become extended interactions between the user and the system. In this setting the system needs some way to "understand" what the user is seeking, as this goal adapts and is modified during a session or a series of sessions. We describe a formal model, in which the model of the user's quest is represented as a generalized abstract "response function" representing the user's response to the information delivered by the system. Representing this response as u(n) = Q(S(n - 1)) shows that the user's utterance u(n) at a time step n is determined according to the user's "response function" Q by the materials S(n - 1) that had been presented up through the previous time step n - 1. The entire history of materials presented thus plays a role in determining the user's response, providing a very rich probe into the precise nature of the user's information quest, here represented by the rule Q. We show how this gives rise naturally to a new model for assimilating relevance feedback information, and to the concept of itineraries in the information network. Finally the concept of an information quest Q, provides a natural framework for considering the time dependence of information about the user's needs, and for various models of information aging. The use and effectiveness of this concept are illustrated with data collected in the Ant World Project at Rutgers
  9. Knowledge: creation, organization and use : Proceedings of the 62nd Annual Meeting of the American Society for Information Science, Washington, DC, 31.10.-4.11.1999. Ed.: Larry Woods (1999) 0.04 
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    Content
    Enthält u.a. die Beiträge: AUSTIN, D.: A proposal for an International Standard Object Number works. BATEMAN, J.: Modelling the importance of end-user relevance criteria. BILAL, D.: Web search engines for children: a comparative study and performance evaluation of Yahooligans!, AskJeeves for Kids, and Super Snooper. BOROS, E., P.B. KANTOR u. D.J. NEU: Pheromonic representation of user quests by digital structures. BRADSHAW, S., K. HAMMOND: Constructing indices from citations in collections of research papers. BUDZIK, J., K. HAMMOND: Q&A: a system for the capture, organization and reuse of expertise. BUDZIK, J., K. HAMMOND: Watson: anticipating and contextualizing information needs. CHOO, C.W., B. DETLOR u. D. TURNBULL: Information seeking on the Web: an integrated model of browsing and searching. CORTEZ, E.M.: Planning and implementing a high performance knowledge base. DING, W., D. SOERGEL u. G. MARCHIONINI: Performance of visual, verbal, and combined video surrogates. DU TOIT, A.: Developing a framework for managing knowledge in enterprises. FALCONER, J.: The business pattern: a new tool for organizational knowledge capture and reuse. GOODRUM, A., A. SPINK: Visual information seeking: a study of image queries on the world wide web. HEIDORN, P.B.: The identification of index terms in natural language object descriptions. HILL, L.L., Q. ZHENG: Indirect geospatial referencing through place names in the digital library: Alexandra digital library experience with developing and implementing gazetteers. JURISICA, I., J. MYLOPOULOS u. E. YU: Using ontologies for knowledge management: an information systems perspective. KANTOR, B., E. BOROS u. B. MELAMED u.a.: The information quest: a dynamic model of user's information needs. KANTOR, P., M.H. KIM u. U. Ibraev u.a.: Estimating the number of relevant documents in enormous collections. KIM, Y., B. NORGARD U. A. CHEN u.a.: Using ordinary language in access metadata of divers types of information resources: trade classifications and numeric data. KOLLURI, V., D.P. METZLER: Knowledge guided rule learning. LARSON, R.R., C. CARSON: Information access for a digital library: Cheshire II and the Berkeley environment digital library. LEAZER, G.H., J. FURNER: Topological indices of textual identity networks. LIN, X.: Designing a visual interface for online searching. MA, Y., V.B. DIODATO: Icons as visual form of knowledge representation on the World Wide Web: a semiotic analysis.
    Date
    22. 6.2005 9:44:50
  10. Zhou, J.-z.: ¬A new subclass for Library of Congress Classification, QF : Computer science (1998) 0.04 
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    Abstract
    The field of computer science has grown rapidly over the past 20 years. However, the LCC only gives computer science a very limited space (QA75-QA76), which is buried in the QA subclass for mathematics. Although LCC call numbers for computer science may become very long, it is still impossible to differentiate a C programming book from a C++ programming book, or a data structure book using C language from an algorithm book in C language. Analyzes the historical reason for the current LCC system for computer science. Based on sample data from Blackwell's North America's Approval Program Coverage and Cost Study, calculates current and all possible subdivisions within Q class, and reports that computer science has more books published in the last 6 years than in any other physical sciences, yet takes only 2 out of 11.000 current subdivisions in LCC class Q. Concludes with suggestions for creating a completely new subclass QF for computer science
  11. Mirza, Q.: Islamic subject headings in Library of Congress Subject Headings (1992) 0.04 
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  12. Leek, M.R.: MPEG Q & A (1994) 0.04 
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  13. Tsatsaoulis, C.; Cheng, Q.; Wei, H.-Y.: Integrating case-based reasoning and decision theory (1997) 0.04 
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  14. Wartik, S.; Fox, E.; Heath, L.; Chen, Q.-F.: Hashing algorithms (1992) 0.04 
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  15. Hu, Q.: How to distinguish and catalog Chinese personal names (1994) 0.04 
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  16. Chua, T.-S.; Ruan, L.-Q.: ¬A video retrieval and sequencing system (1995) 0.04 
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  17. Sun, Q.; Shaw, D.; Davis, C.H.: ¬A model for estimating the occurence of same-frequency words and the boundary between high- and low-frequency words in texts (1999) 0.04 
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  18. Jascó, P.: Searching for images by similarity online (1998) 0.03 
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    Date
    29.11.2004 13:03:22
    Source
    Online. 22(1998) no.6, S.99-102
  19. Serial cataloguing : modern perspectives and international developments (1992) 0.03 
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    Source
    Serials librarian. 22(1992), nos.3/4
  20. Smith, G.: Newspapers on CD-ROM (1992) 0.03 
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    Source
    Serials. 5(1992) no.3, S.17-22

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  • m 55
  • s 51
  • el 7
  • r 6
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