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This book introduces a novel approach to classification, highlighting its numerous advantages and outlining effective strategies for its implementation. It advocates for collaborative efforts to develop this classification system, motivated by the growing significance of interdisciplinary scholarship and the limitations of current knowledge organization schemes. Targeted at scholars in classification research, knowledge organization, and interdisciplinarity, the recommended approach combines general classification with domain-specific practices. Key conclusions include: existing classification systems inadequately support interdisciplinary research and teaching; a new classification method, focused on the phenomena studied rather than traditional disciplines, would enhance interdisciplinary scholarship and boost overall productivity; this approach is feasible, with potential concerns addressed; the proposed classification could complement or replace existing systems; domain analysis is essential for developing a general classification, especially for interdisciplinary fields; and the approach aligns well with the needs of the Semantic Web and digital environments. While primarily focused on classification systems, the book also discusses the applicability of its analysis to thesauri and ontologies, including the exploration of a universal thesaurus. The proposed classification offers many advantages sought in ontologies for
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Interdisciplinary Knowledge Organization, Rick Szostak
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- Année de publication
- 2018
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