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  1. Serial cataloguing : modern perspectives and international developments (1992) 0.03 
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    Source
    Serials librarian. 22(1992), nos.3/4
  2. Advances in librarianship (1998) 0.03 
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    Issue
    Vol.22.
    Signature
    78 BAHH 1089-22
  3. Working with conceptual structures : contributions to ICCS 2000. 8th International Conference on Conceptual Structures: Logical, Linguistic, and Computational Issues. Darmstadt, August 14-18, 2000 (2000) 0.03 
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    Content
    Concepts & Language: Knowledge organization by procedures of natural language processing. A case study using the method GABEK (J. Zelger, J. Gadner) - Computer aided narrative analysis using conceptual graphs (H. Schärfe, P. 0hrstrom) - Pragmatic representation of argumentative text: a challenge for the conceptual graph approach (H. Irandoust, B. Moulin) - Conceptual graphs as a knowledge representation core in a complex language learning environment (G. Angelova, A. Nenkova, S. Boycheva, T. Nikolov) - Conceptual Modeling and Ontologies: Relationships and actions in conceptual categories (Ch. Landauer, K.L. Bellman) - Concept approximations for formal concept analysis (J. Saquer, J.S. Deogun) - Faceted information representation (U. Priß) - Simple concept graphs with universal quantifiers (J. Tappe) - A framework for comparing methods for using or reusing multiple ontologies in an application (J. van ZyI, D. Corbett) - Designing task/method knowledge-based systems with conceptual graphs (M. Leclère, F.Trichet, Ch. Choquet) - A logical ontology (J. Farkas, J. Sarbo) - Algorithms and Tools: Fast concept analysis (Ch. Lindig) - A framework for conceptual graph unification (D. Corbett) - Visual CP representation of knowledge (H.D. Pfeiffer, R.T. Hartley) - Maximal isojoin for representing software textual specifications and detecting semantic anomalies (Th. Charnois) - Troika: using grids, lattices and graphs in knowledge acquisition (H.S. Delugach, B.E. Lampkin) - Open world theorem prover for conceptual graphs (J.E. Heaton, P. Kocura) - NetCare: a practical conceptual graphs software tool (S. Polovina, D. Strang) - CGWorld - a web based workbench for conceptual graphs management and applications (P. Dobrev, K. Toutanova) - Position papers: The edition project: Peirce's existential graphs (R. Mülller) - Mining association rules using formal concept analysis (N. Pasquier) - Contextual logic summary (R Wille) - Information channels and conceptual scaling (K.E. Wolff) - Spatial concepts - a rule exploration (S. Rudolph) - The TEXT-TO-ONTO learning environment (A. Mädche, St. Staab) - Controlling the semantics of metadata on audio-visual documents using ontologies (Th. Dechilly, B. Bachimont) - Building the ontological foundations of a terminology from natural language to conceptual graphs with Ribosome, a knowledge extraction system (Ch. Jacquelinet, A. Burgun) - CharGer: some lessons learned and new directions (H.S. Delugach) - Knowledge management using conceptual graphs (W.K. Pun)
  4. Shatz, C.J.; Selkoe, D.J.; Freeman, W.J.: Gehirn und Bewußtsein (1994) 0.02 
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    Date
    22. 7.2000 18:22:14
  5. Gehirn und Nervensystem : woraus sie bestehen - wie sie funktionieren - was sie leisten (1988) 0.02 
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    Date
    22. 7.2000 18:22:27
  6. Business information in the Intranet age (1996) 0.02 
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    Date
    22. 2.1997 19:42:34
  7. Information brokers and reference services (1989) 0.02 
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    Series
    Reference librarian; no.22
  8. MARC and metadata : METS, MODS, and MARCXML: current and future implications (2004) 0.02 
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    Source
    Library hi tech. 22(2004) no.1
  9. Exploring artificial intelligence in the new millennium (2003) 0.02 
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    Footnote
    In Chapter 7, Jeff Rickel and W. Lewis Johnson have created a virtual environment, with virtual humans for team training. The system is designed to allow a digital character to replace team members that may not be present. The system is also designed to allow students to acquire skills to occupy a designated role and help coordinate their activities with their teammates. The paper presents a complex concept in a very manageable fashion. In Chapter 8, Jonathan Yedidia et al. study the initial issues that make up reasoning under uncertainty. This type of reasoning, in which the system takes in facts about a patient's condition and makes predictions about the patient's future condition, is a key issue being looked at by many medical expert system developers. Their research is based an a new form of belief propagation, which is derived from generalized existing probabilistic inference methods that are widely used in AI and numerous other areas such as statistical physics. The ninth chapter, by David McAllester and Robert E. Schapire, looks at the basic problem of learning a language model. This is something that would not be challenging for most people, but can be quite arduous for a machine. The research focuses an a new technique called leave-one-out estimator that was used to investigate why statistical language models have had such success in this area of research. In Chapter 10, Peter Baumgartner looks at simplified theorem proving techniques, which have been applied very effectively in propositional logie, to first-ordered case. The author demonstrates how his new technique surpasses existing techniques in this area of AI research. The chapter simplifies a complex subject area, so that almost any reader with a basic Background in AI could understand the theorem proving. In Chapter 11, David Cohen et al. analyze complexity issues in constraint satisfaction, which is a common problem-solving paradigm. The authors lay out how tractable classes of constraint solvers create new classes that are tractable and more expressive than previous classes. This is not a chapter for an inexperienced student or researcher in AI. In Chapter 12, Jaana Kekalaine and Kalervo Jarvelin examine the question of finding the most important documents for any given query in text-based retrieval. The authors put forth two new measures of relevante and attempt to show how expanding user queries based an facets about the domain benefit retrieval. This is a great interdisciplinary chapter for readers who do not have a strong AI Background but would like to gain some insights into practical AI research. In Chapter 13, Tony Fountain et al. used machine learning techniques to help lower the tost of functional tests for ICs (integrated circuits) during the manufacturing process. The researchers used a probabilistic model of failure patterns extracted from existing data, which allowed generating of a decision-theoretic policy that is used to guide and optimize the testing of ICs. This is another great interdisciplinary chapter for a reader interested in an actual physical example of an AI system, but this chapter would require some AI knowledge.
  10. Atti del sminario di studi sulla CDU. Roma, 22. settembre 1975. A cura di Maria Pia Carosella (1977) 0.02 
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  11. System migration (1997) 0.02 
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    Date
    22. 2.1999 13:37:59
  12. Cataloguing: the new and the old (1994) 0.02 
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    Date
    17.10.1995 18:22:54
  13. Kognitionswissenschaft : Grundlagen, Probleme, Perspektiven (1992) 0.02 
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    Date
    22. 7.2000 19:12:24
  14. Information systems outsourcing in theory and practice (1995) 0.02 
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    Date
    22. 7.1996 10:51:56
  15. Electronic publishing and electronic information communication (1996) 0.02 
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    Source
    IFLA journal. 22(1996) no.3, S.181-247
  16. MARC and metadata : METS, MODS, and MARCXML: current and future implications (2004) 0.02 
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    Library hi tech. 22(2004) no.1
  17. Lexical choice (1996) 0.02 
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    31. 7.1996 9:22:19
  18. Scientific discovery (1997) 0.02 
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    6. 3.1997 16:22:15
  19. New tools for human translators (1997) 0.02 
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    31. 7.1996 9:22:19
  20. International yearbook of library and information management : 2001/2002 information services in an electronic environment (2001) 0.02 
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    Date
    25. 3.2003 13:22:23

Authors

Years

Languages

  • e 99
  • d 40
  • m 3
  • i 1
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Types

  • m 70
  • el 2
  • r 1
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Themes

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