-
Jouis, C.: Logic of relationships (2002)
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- Abstract
- A main goal of recent studies in semantics is to integrate into conceptual structures the models of representation used in linguistics, logic, and/or artificial intelligence. A fundamental problem resides in the need to structure knowledge and then to check the validity of constructed representations. We propose associating logical properties with relationships by introducing the relationships into a typed and functional system of specifcations. This makes it possible to compare conceptual representations against the relationships established between the concepts. The mandatory condition to validate such a conceptual representation is consistency. The semantic system proposed is based an a structured set of semantic primitives-types, relations, and properties-based an a global model of language processing, Applicative and Cognitive Grammar (ACG) (Desc16s, 1990), and an extension of this model to terminology (Jouis & Mustafa 1995, 1996, 1997). The ACG postulates three levels of representation of languages, including a cognitive level. At this level, the meanings of lexical predicates are represented by semantic cognitive schemes. From this perspective, we propose a set of semantic concepts, which defines an organized system of meanings. Relations are part of a specification network based an a general terminological scheure (i.e., a coherent system of meanings of relations). In such a system, a specific relation may be characterized as to its: (1) functional type (the semantic type of arguments of the relation); (2) algebraic properties (reflexivity, symmetry, transitivity, etc.); and (3) combinatorial relations with other entities in the same context (for instance, the part of the text where a concept is defined).
- Date
- 1.12.2002 11:12:22
- Series
- Information science and knowledge management; vol.3
-
Evens, M.: Thesaural relations in information retrieval (2002)
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- Abstract
- Thesaural relations have long been used in information retrieval to enrich queries; they have sometimes been used to cluster documents as well. Sometimes the first query to an information retrieval system yields no results at all, or, what can be even more disconcerting, many thousands of hits. One solution is to rephrase the query, improving the choice of query terms by using related terms of different types. A collection of related terms is often called a thesaurus. This chapter describes the lexical-semantic relations that have been used in building thesauri and summarizes some of the effects of using these relational thesauri in information retrieval experiments
- Series
- Information science and knowledge management; vol.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)
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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)
-
Gerbé, O.; Mineau, G.W.; Keller, R.K.: Conceptual graphs, metamodelling, and notation of concepts : fundamental issues (2000)
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- Abstract
- Knowledge management, in particular corporate knowledge management, is a challenge companies and researchers have to meet. The conceptual graph formalism is a good candidate for the representation of corporate knowledge, and for the development of knowledge management systems. But many of the issues concerning the use of conceptual graphs as a metalanguage have not been worked out in detail. By introducing a function that maps higher level to lower level, this paper clarifies the metalevel semantics, notation and manipulation of concepts in the conceptual graph formalism. In addition, this function allows metamodeling activities to take place using the CG notation
- Theme
- Information Resources Management
-
Cruse, D.A.: Hyponymy and its varieties (2002)
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- Series
- Information science and knowledge management; vol.3
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Green, R.: Internally-structured conceptual models in cognitive semantics (2002)
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- Series
- Information science and knowledge management; vol.3
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Dahlberg, I.: ¬Die gegenstandsbezogene, analytische Begriffstheorie und ihre Definitionsarten (1987)
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- Pages
- S.9-22
-
Hetzler, B.: Visual analysis and exploration of relationships (2002)
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- Series
- Information science and knowledge management; vol.3
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Fellbaum, C.: On the semantics of troponymy (2002)
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- Series
- Information science and knowledge management; vol.3
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Guarino, N.; Welty, C.: Identity and subsumption (2002)
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- Series
- Information science and knowledge management; vol.3
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Wüster, E.: Begriffs- und Themaklassifikation : Unterschiede in ihrem Wesen und in ihrer Anwendung (1971)
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- Source
- Nachrichten für Dokumentation. 22(1971) H.3, S.98-104 (T.1); H.4, S.143-150 (T.2)
-
Khoo, C.; Chan, S.; Niu, Y.: ¬The many facets of the cause-effect relation (2002)
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- Series
- Information science and knowledge management; vol.3
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Khoo, C.; Myaeng, S.H.: Identifying semantic relations in text for information retrieval and information extraction (2002)
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- Series
- Information science and knowledge management; vol.3
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Pribbenow, S.: Meronymic relationships : from classical mereology to complex part-whole relations (2002)
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- Series
- Information science and knowledge management; vol.3
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McCray, A.T.; Bodenreider, O.: ¬A conceptual framework for the biomedical domain (2002)
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- Series
- Information science and knowledge management; vol.3
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Hovy, E.: Comparing sets of semantic relations in ontologies (2002)
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- Series
- Information science and knowledge management; vol.3
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Rahmstorf, G.: Bedeutungsdefinition und Wortumfeld (1993)
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- Series
- Sprache, System und Tätigkeit; 10
-
ISO/DIS 5127: Information and documentation - foundation and vocabulary (2013)
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- Abstract
- This standard provides the basic terms and their definitions in the field of information and documentation for the purpose of promoting and facilitating knowledge sharing and information exchange. This International Standard presents terms and definitions of selected concepts relevant to the field of information and documentation. If a definition is from other standards, the priority of selection is TC46 technical standards, then technical standards in relevant field, and then terminology related standards. The scope of this International Standard corresponds to that of ISO/TC46, Standardization of practices relating to libraries, documentation and information centres, publishing, archives, records management, museum documentation, indexing and abstracting services, and information science. ISO 5127 was prepared by Technical Committee ISO/TC 46, Information and Documentation, WG4, Terminology of information and documentation. This second edition cancels and replaces the first edition (ISO 5127:2001), which has been technically revised to overcome problems in the practical application of ISO 5127:2001 and to take account of the new developments in the field of information and documentation.
-
¬The semantics of relationships : an interdisciplinary perspective (2002)
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- Series
- Information science and knowledge management; vol.3
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Weissenhofer, P.: Conceptology in terminology : theory, semantics, and word-formation. A morpho-conceptually based approach to classification as exemplified by the English baseball terminology (1995)
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- Abstract
- This dissertation from the University of Vienna contains the following chapters: (1) Conceptological aspects in terminology theory. Post-Wüsterian sign models and the four-field model. Vagueness, prototypes, and the four-field model. Morphological aspects of terminology and prototype theory. Word-formation and its role in terminology theory and conceptology. (2) A morpho-conceptual classification system of the English baseball terminology. The classification system. Statistical results. Conclusions
