Search (138 results, page 7 of 7)

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Abstract

Defends the systematic introduction of formal ontological principles in the current practice of knowledge engineering, and explores the various relationships between ontology and knowledge representatiom. Presents recent trends in this research area. Compares the dichotomy between reasoning and representation to the philosophical distinction between epistemology and ontology. Introduces the notion of the ontological level, intermediate between the epistemological and conceptual levels as a way to characterize a knowledge representation formalism taking into account the intended meaning of its primitives

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Abstract

The multidimensional language model, as describes in a previous paper (1998, no.2), makes it possible to define a number of concepts, including denotation and signification. Shows that the 'classical semantic triangle', which is commonly used to express denotation and signification, does not contradict the principles of the model. Concludes that the multidimensional language model is a truly universal tool reflecting accurately both semantics and syntax

Footnote

Übers. des Titels: Localisation of denotation and sifnification in a three dimensional language model

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Abstract

The basic conceptual units of cognitive semantics-image schemata, basic level concepts, and frames-are intemally structured, with meaningful relationships existing between components of those units. In metonymy, metaphor, and blended spaces, such intemal conceptual structure is complemented by extemal referential structure, based an mappings between elements of underlying conceptualspaces.

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Abstract

The evolution of bibliographic classification schemes, from the end of the 19th century to our time, shows a trend of increasing possibilities to combine concepts in a classmark. While the early schemes, like DDC and LCC, were largely enumerative, more and more synthetic devices have appeared with common auxiliaries, facets, and phase relationships. The last editions of UDC and the UDC-derived FATKS project follow this evolution, by introducing more specific phase relationships and more common auxiliaries, like those for general properties and processes. This agrees with the Farradane's principle that each concept should have a place of unique definition, instead of being re-notated in each context where it occurs. This evolution appears to be unfinished, as even in most synthetic schemes many concepts have a different notation according to the disciplinary main classes where they occur. To overcome this limitation, main classes should be defined in terms of phenomena rather than disciplines: the Integrative Level Classification (ILC) research project is currently exploring this possibility. Examples with UDC, FATKS, and ILC notations are discussed.

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Abstract

Purpose - The purpose of this paper is to explore the basics of semiotic analysis and concept theory that represent two dominant approaches to knowledge representation, and explore how these approaches are fruitful for knowledge organization. Design/methodology/approach - In particular the semiotic theory formulated by the American philosopher C.S. Peirce and the concept theory formulated by Ingetraut Dahlberg are investigated. The paper compares the differences and similarities between these two theories of knowledge representation. Findings - The semiotic model is a general and unrestricted model of signs and Dahlberg's model is thought from the perspective and demand of better knowledge organization system (KOS) development. It is found that Dahlberg's concept model provides a detailed method for analyzing and representing concepts in a KOS, where semiotics provides the philosophical context for representation. Originality/value - This paper is the first to combine theories of knowledge representation, semiotic and concept theory, within the context of knowledge organization.

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Abstract

Word aboutness is defined as the relationship between words and subjects associated with them. An aboutness coefficient is developed to estimate the strength of the aboutness relationship. Words that are randomly distributed across subjects are assumed to lack aboutness and the degree to which their usage deviates from a random pattern indicates the strength of the aboutness. To estimate aboutness, title words and their associated subjects are extracted from the titles of non-fiction English language books in the OCLC WorldCat database. The usage patterns of the title words are analyzed and used to compute aboutness coefficients for each of the common title words. Words with low aboutness coefficients (An and In) are commonly found in stop word lists, whereas words with high aboutness coefficients (Carbonate, Autism) are unambiguous and have a strong subject association. The aboutness coefficient potentially can enhance indexing, advance authority control, and improve retrieval.

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Abstract

Interdisciplinary communication, and thus the rate of progress in scholarly understanding, would be greatly enhanced if scholars had access to a universal classification of documents or ideas not grounded in particular disciplines or cultures. Such a classification is feasible if complex concepts can be understood as some combination of more basic concepts. There appear to be five main types of concept theory in the philosophical literature. Each provides some support for the idea of breaking complex into basic concepts that can be understood across disciplines or cultures, but each has detractors. None of these criticisms represents a substantive obstacle to breaking complex concepts into basic concepts within information science. Can we take the subject entries in existing universal but discipline-based classifications, and break these into a set of more basic concepts that can be applied across disciplinary classes? The author performs this sort of analysis for Dewey classes 300 to 339.9. This analysis will serve to identify the sort of 'basic concepts' that would lie at the heart of a truly universal classification. There are two key types of basic concept: the things we study (individuals, rocks, trees), and the relationships among these (talking, moving, paying).

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Abstract

Based upon the existing cognitive theories and available related literature, the hypothesis "Conceptualisation process involves a set of specific cognitive skills" has been evolved. An attempt has been made to identify these cognitive skills that are directly involving in conceptualisation process and the outcome is the identification of 13 cognitve skills that are essential for conceptualisation process. This research is directed towards evolving a new concept classification to facilitate learning and teaching. Here we classify the concepts into six categories based upon their attributes and attribute's relations. A specific "Concept analysis ability" tool is also developed to measure the 'concept analysis ability' of secondary school teachers

Source

Cognitive paradigms in knowledge organisation. 2nd Int. ISKO Conf., Madras, 26.-28.8.1992

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Abstract

Draws attention to the efforts to define the terms 'concept' and 'term' and suggests a schedule of isolates for the term 'concept' under eight headings: 0. Concept; 1. Theoretical aspects; 2. Learning theory and Psychological aspects; 3. Origin, evolution, formation, construction; 4. Semantic aspects; 5.Terms and Terminology; 6. Usage and discipline-specific applications; and 7. Concepts and ISAR systems. The schedule also includes about 150 aspects/isolate terms related to 'concept' along with the name of the authors who have used them. The schedule is intended to help in identifying the various aspects of a concept with the help of the terms used for them. These aspects may guide to some extent, in dissecting and seeing the social science concepts from various point of views

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Abstract

Relationships can provide a rich and powerful set of information and can be used to accomplish application goals, such as information retrieval and natural language processing. A growing trend in the information science community is the use of information visualization-taking advantage of people's natural visual capabilities to perceive and understand complex information. This chapter explores how visualization and visual exploration can help users gain insight from known relationships and discover evidence of new relationships not previously anticipated.

Theme

Semantisches Umfeld in Indexierung u. Retrieval

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Abstract

Starting from the premise that extant knowledge of the discipline of Knowledge Organization ought to be made accessible by its knowledge units (concepts) this article includes short descriptions of the work of E.Wuester (Austria) and F. Riggs (USA) who both had laid foundations in this field. A noematic concept of knowledge (Diemer 1962, 474) is used for the necessary work to be done. It is shown how a concept-theoretical approach (relying on the characteristics of concepts and their system-building capacity) can be applied for pertinent terminological work. Earlier work in this regard by standardization bodies is mentioned. Seven necessary steps towards accomplishment are outlined.

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Abstract

A concept is regarded as the common element of both classification systems and thesauri. Reality and knowledge are not represented by words or terms but by the meanings "behind" these tokens. A concept of, say, an object, a property of an object, a process, etc. is derived from verbal statements on these as subjects and may therefore be defined as the whole of true and possible predicates that can be collected on a given subject. It is from these predicates that the characteristics of the corresponding concepts can be derived. Common characteristics in different concepts lead to relationsbetween concepts, which relations in turn are factors for the formation of concept systems. Different kinds of relationships as well as different kinds of concepts are distinguished. It is pointed out that an orderly supply of the elements for propositions (informative statements) on new knowledge requires the construction and availability of such concept systems

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Abstract

Considers language to be a multidimensional object and presents a dynamic model of language, employing a predication chain. The model, in addition to its theoretical value, has several practical uses, including text condensation

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Abstract

This chapter deals with the paradigmatic sense relation of hyponymy as manifested in nouns. A number of approaches to the definition of the relation are discussed, with particular attention being given to the problems of framing a prototype-theoretical characterization. An account is offered of a number of sub-varieties of hyponymy.

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Series

Advances in knowledge organization; vol.10

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Abstract

The Internet is a giant semiotic system. It is a massive collection of Peirce's three kinds of signs: icons, which show the form of something; indices, which point to something; and symbols, which represent something according to some convention. But current proposals for ontologies and metadata have overlooked some of the most important features of signs. A sign has three aspects: it is (1) an entity that represents (2) another entity to (3) an agent. By looking only at the signs themselves, some metadata proposals have lost sight of the entities they represent and the agents - human, animal, or robot - which interpret them. With its three branches of syntax, semantics, and pragmatics, semiotics provides guidelines for organizing and using signs to represent something to someone for some purpose. Besides representation, semiotics also supports methods for translating patterns of signs intended for one purpose to other patterns intended for different but related purposes. This article shows how the fundamental semiotic primitives are represented in semantically equivalent notations for logic, including controlled natural languages and various computer languages

Series

Lecture notes in computer science; vol.1867: Lecture notes on artificial intelligence

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Abstract

The purpose of this paper is to formulate an analytical framework for the information concept based on the semiotic theory. Design/methodology/approach The paper is motivated by the apparent controversy that still surrounds the information concept. Information, being a key concept within LIS, suffers from being anchored in various incompatible theories. The paper suggests that information is signs, and it demonstrates how the concept of information can be understood within C.S. Peirce's phenomenologically rooted semiotic. Hence, from there, certain ontological conditions as well epistemological consequences of the information concept can be deduced. Findings The paper argues that an understanding of information, as either objective or subjective/discursive, leads to either objective reductionism and signal processing, that fails to explain how information becomes meaningful at all, or conversely, information is understood only relative to subjective/discursive intentions, agendas, etc. To overcome the limitations of defining information as either objective or subjective/discursive, a semiotic analysis shows that information understood as signs is consistently sensitive to both objective and subjective/discursive features of information. It is consequently argued that information as concept should be defined in relation to ontological conditions having certain epistemological consequences. Originality/value The paper presents an analytical framework, derived from semiotics, that adds to the developments of the philosophical dimensions of information within LIS.

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Abstract

The intuitive simplicity of the so-called is-a (or subsumption) relationship has led to widespread ontological misuse. Where previous work has focused largely an the semantics of the relationship itself, we concentrate here an the ontological nature of its arguments, in Order to tell whether a single is-a link is ontologically well-founded. For this purpose, we introduce some techniques based an the philosophical notions of identity, unity, and essence, which have been adapted to the needs of taxonomy design. We demonstrate the effectiveness of these techniques by taking real examples of poorly structured taxonomies and revealing cases of invalid generalization.