-
Jaenecke, P.: Knowledge organization due to theory formation (1995)
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- Abstract
- Theory formation is regarded as a process of domain-internal knowledge organization. Misunderstandings about the concept 'theory' are explained. A theory is considered as a systematical representation of a domain realized by three closely related theory-forming actions: establishment of a suitable system of basic concepts, ordering of the experience or given experimental results, synthesizing of conflicting hypotheses. In this view, theory formation means an ambitious kind of knowledge representation. Its consequences are summarized and its importance for the human sciences and for society is emphasized
- Date
- 29. 3.1996 17:26:47
-
Krause, P.J.; Clark, D.: Representing uncertain knowledge (1993)
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- LCSH
- Uncertainty (Information theory)
Knowledge representation (Information theory)
- Subject
- Uncertainty (Information theory)
Knowledge representation (Information theory)
-
Way, E.C.: Knowledge representation and metaphor (oder: meaning) (1994)
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- Content
- Enthält folgende 9 Kapitel: The literal and the metaphoric; Views of metaphor; Knowledge representation; Representation schemes and conceptual graphs; The dynamic type hierarchy theory of metaphor; Computational approaches to metaphor; Thenature and structure of semantic hierarchies; Language games, open texture and family resemblance; Programming the dynamic type hierarchy; Subject index
- Footnote
- Bereits 1991 bei Kluwer publiziert // Rez. in: Knowledge organization 22(1995) no.1, S.48-49 (O. Sechser)
-
Gopinath, M.A.: Ranganathan's theory of facet analysis and knowledge representation (1992)
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-
Hjoerland, B.: Subject representation and information seeking : contributions to a theory based on the theory of knowledge (1993)
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-
Evans, R.; Gazdar, G.: DATR: a language for lexical knowledge representation (1996)
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- Source
- Computational linguistics. 22(1996) no.2, S.167-216
-
Gopinath, M.A.: Research in classification : a pointer towards knowledge representation (1998)
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- Abstract
- Discusses the importance of classificatory language and research, and identifies major trends in classification development. Looks at ways of testing the quality of representation in classification systems, highlighting a number of basic research fronts. Notes efforts towards the development of a science of classification, beginning with those of Ranganathan. Examines the problems of keeping classification schemes up to date, and the usefulness of classification theory in knowledge organization. Also discusses categorization at generic levels; developments and objectives in the teaching and learning of classification; and future directions for classification research
- Date
- 17.11.1998 18:23:29
-
Hodgson, J.P.E.: Knowledge representation and language in AI (1991)
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- Abstract
- The aim of this book is to highlight the relationship between knowledge representation and language in artificial intelligence, and in particular on the way in which the choice of representation influences the language used to discuss a problem - and vice versa. Opening with a discussion of knowledge representation methods, and following this with a look at reasoning methods, the author begins to make his case for the intimate relationship between language and representation. He shows how each representation method fits particularly well with some reasoning methods and less so with others, using specific languages as examples. The question of representation change, an important and complex issue about which very little is known, is addressed. Dr Hodgson gathers together recent work on problem solving, showing how, in some cases, it has been possible to use representation changes to recast problems into a language that makes them easier to solve. The author maintains throughout that the relationships that this book explores lie at the heart of the construction of large systems, examining a number of the current large AI systems from the viewpoint of representation and language to prove his point.
- LCSH
- Knowledge / representation (Information theory)
- Subject
- Knowledge / representation (Information theory)
-
Johannesson, P.: Representation and communication : a speech act based approach to information systems design (1995)
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- Abstract
- An important role of an information system is to provide a representation of a universe of discourse, which reflects its structure and behaviour. An equally imprtant function is to support communication within an organization by structuring and coordinating the actions performed by the organization's agents. In many systems development methods, these different roles are not explicitely separated. Representation techniques appropriate for one role are uncritically applied to another. Proposes a unifying framework based on speech act theory, which reconciles the representation and communication roles of information systems. In particular, shows how communication can be modelled by means of discourses, which are viewed as sequences of events
-
Grimaldi, T.: ¬L'indicizzazione dal punto di vista cognitivo (II) (1996)
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- Abstract
- In relation to indexing, one of the chief implications of cognitive epistemology is the necessity for redefining knowledge representation concepts for information filing and retrieval purposes. Such a redefinition involves abandoning the traditional, hierarchical, closed-structure classification model. Considers the following in detail: a semiotic critique of classification principles; Ranganathan's classification theory; Ranganathan and cognitive epistemology; and some reflections on the DDC and the Bliss Bibliographic Classification
- Date
- 14. 7.1996 13:29:45
-
Beghtol, C.: Toward a theory of fiction analysis for information storage and retrieval (1992)
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- Date
- 5. 8.2006 13:22:08
- Source
- Classification research for knowledge representation and organization. Proc. 5th Int. Study Conf. on Classification Research, Toronto, Canada, 24.-28.6.1991. Ed. by N.J. Williamson u. M. Hudon
-
Aptagiri, D.V.; Gopinath, M.A.; Prasad, A.R.D.: ¬A frame based knowledge representation paradigm for automating POPSI (1995)
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- Abstract
- This paper is based on the project work carries out by the authors at DRTC. Knowledge representation models are used in building intelligent systems for problem solving. The paper discusses, a frame based knowledge representation model built for automatic indexing. The system assigns POPSI indicators and produces subject strings for titles. The results are given in appendices
- Source
- Knowledge organization. 22(1995) nos.3/4, S.162-167
-
Priss, U.: Faceted knowledge representation (1999)
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- Abstract
- Faceted Knowledge Representation provides a formalism for implementing knowledge systems. The basic notions of faceted knowledge representation are "unit", "relation", "facet" and "interpretation". Units are atomic elements and can be abstract elements or refer to external objects in an application. Relations are sequences or matrices of 0 and 1's (binary matrices). Facets are relational structures that combine units and relations. Each facet represents an aspect or viewpoint of a knowledge system. Interpretations are mappings that can be used to translate between different representations. This paper introduces the basic notions of faceted knowledge representation. The formalism is applied here to an abstract modeling of a faceted thesaurus as used in information retrieval.
- Date
- 22. 1.2016 17:30:31
-
Goschke, T.: Implicit learning and unconscious knowledge : mental representation, computational mechanisms, and brain structures (1997)
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- Date
- 29. 3.1996 18:16:49
-
Whittlesea, B.W.A.: ¬The representation of general and particular knowledge (1997)
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- Date
- 29. 3.1996 18:16:49
-
Hjoerland, B.: Information seeking and subject representation : an activity-theoretical approach to information science (1997)
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- Abstract
- Information science has for a long time been drawing on the knowledge produced in psychology and related fields. This is reasonable, for the central issue in information science concerns individual users navigating information spaces such as libraries, databases, and the Internet, Thus, informations seeking is the fundamental problem in information science, while other problems, such as document representation, are subordinate. This book proposes a general theory of information seeking as a theoretical basis for information science
- Content
- Introduction - information seeking and subject representation - subject searching and subject representation data - subject analysis and knowledge organization - the concept of subject or subject matter and basic epistemological positions - methodological consequences for information science - science, discipline, and subject field as a framework for information seeking - information needs and cognitive and scientific development
-
Ledesma, L.D.: ¬A computational approach to George Boole's discovery of mathematical logic (1997)
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- Abstract
- Reports a computational model of George Boole's discovery of logic as part of mathematics. Studies the different historical factors that influences this theory, and produces a computational representation of Boole's logic before it was mathematized, and a production system, BOOLE2, that rediscovers logic as a science that behaves exactly as a branch of mathematics, and that thus validates to some extent the historical explanation. The system's discovery methods are found to be general enough to handle 3 other cases: 2 version of a geometry due to a contemporary of Boole, and a small subset of the differential calculus
- Date
- 6. 3.1997 16:22:15
-
Binwal, J.C.: Modes of formation of subjects : a model for knowledge representation (1992)
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- Abstract
- After the world war 2, the need was realized for the development of a theory of the structure of the universe of subjects. Discusses the concept of 'social knowledge' and describes the criterion for distinguishing different kinds of social knowledge. Enumerates the attributes of a subject. Discusses the concept of mode of formation of subjects. Describes an empirical study carried out by the author to test the model proposed by S.R. Ranganathan. Concludes that this model is a powerful tool for knowledge representation in information retrieval
-
McGuire, E.G.: Knowledge representation and construction in hypermedia environments (1996)
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- Abstract
- Hypermedia information systems, because of their inherent qualities of nonlinearity and associative linking, offer the potential of facilitating enhanced knowledge representation and construction for users. These capabilities will be more fully realized if hypermedia information systems are developed and implemented based on constructivist learning theory. Examines the qualities of hypermedia systems that enable them to facilitate learning, discusses the background of current learning theories and provides a brief view of a possible hypermedia system based on constructivist learning principles that could be developed through the use of intellegent autonomous agents
-
Tkalac, S.; Mateljan, V.: Neke karakteristike notacijskih shema (1996)
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- Abstract
- Presents a short review of fundamental knowledge representation methods: logical, graphical, structured and procedural notational schemes. Special attention is given to notational schemes' classifications and the characteristics on which classifications were done. Knowledge representation is one of the central problems in artificial intelligence, but a complete theory of it does not exist, and it remains a set of methods that are used, with more or less success, in attempts to solve a given problem. The characteristics of knowledge schemes play a significant role
