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Date

22. 2.2013 12:35:05

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Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Abstract

This paper develops a simple yet powerful typology of scholarly theory, based an the 5W questions: "Who?", "What?", "Where?", "When?", and "Why?". It also develops a list of the twelve distinct methods used by scholars. These are then evaluated in terms of the 5W questions. Classifying theory types and methods allows scholars and students to better appreciate the advantages and disadvantages of different theory types and methods. Classifications of theory and method can and should be important components of a system for classifying scholarly documents. Researchers and students are presently limited in their ability to search by theory type or method. As a result, scholars often "re-invent" previous research of which they were unaware.

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Abstract

Several desiderata of a system of subject classification for museums are identified. The limitations of existing approaches are reviewed. It is argued that an approach which synthesizes basic concepts within a grammatical structure can achieve the goals of subject classification in museums while addressing diverse challenges. The same approach can also be applied in galleries, archives, and libraries. The approach is described in some detail and examples are provided of its application. The article closes with brief discussions of thesauri and linked open data.

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Abstract

Any classification system should be evaluated with respect to a variety of philosophical and practical concerns. This paper explores several distinct issues: the nature of a work, the value of a statement, the contribution of information science to philosophy, the nature of hierarchy, ethical evaluation, pre- versus postcoordination, the lived experience of librarians, and formalization versus natural language. It evaluates a particular approach to classification in terms of each of these but draws general lessons for philosophical evaluation. That approach to classification emphasizes the free combination of basic concepts representing both real things in the world and the relationships among these; works are also classified in terms of theories, methods, and perspectives applied.

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Abstract

Freely faceted classifications allow for free combination of concepts across all knowledge domains, and for sorting of the resulting compound classmarks. Starting from work by the Classification Research Group, the Integrative Levels Classification (ILC) project has produced a first edition of a general freely faceted scheme. The system is managed as a MySQL database, and can be browsed through a Web interface. The ILC database structure provides a case for identifying and representing the structural elements of any freely faceted classification. These belong to both the notational and the verbal planes. Notational elements include: arrays, chains, deictics, facets, foci, place of definition of foci, examples of combinations, subclasses of a faceted class, groupings, related classes; verbal elements include: main caption, synonyms, descriptions, included terms, related terms, notes. Encoding of some of these elements in an international mark-up format like SKOS can be problematic, especially as this does not provide for faceted structures, although approximate SKOS equivalents are identified for most of them.

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Abstract

Basic grammar can achieve most/all of the goals of facet analysis without requiring the use of facet indicators. Facet analysis is thus rendered far simpler for classificationist, classifier, and user. We compare facet analysis and grammar, and show how various facets can be represented grammatically. We then address potential challenges in employing grammar as subject classification. A detailed review of basic grammar supports the hypothesis that it is feasible to usefully employ grammatical construction in subject classification. A manageable - and programmable - set of adjustments is required as classifiers move fairly directly from sentences in a document (or object or idea) description to formulating a subject classification. The user likewise can move fairly quickly from a query to the identification of relevant works. A review of theories in linguistics indicates that a grammatical approach should reduce ambiguity while encouraging ease of use. This paper applies the recommended approach to a small sample of recently published books. It finds that the approach is feasible and results in a more precise subject description than the subject headings assigned at present. It then explores PRECIS, an indexing system developed in the 1970s. Though our approach differs from PRECIS in many important ways, the experience of PRECIS supports our conclusions regarding both feasibility and precision.

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Content

Bezugnahme auf: Hjoerland, B., K.N. Pedersen: A substantive theory of classification for information retrieval. In: Journal of documentation. 61(2005) no.5, S.582-597. - Vgl. auch: Hjoerland, R.: Core classification theory: : a reply to Szostak. In: Journal of documentation. 64(2008) no.3, S.333 - 342.

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Abstract

Classification is the essential first step in science. The study of science, as well as the practice of science, will thus benefit from a detailed classification of different types of science. In this book, science - defined broadly to include the social sciences and humanities - is first unpacked into its constituent elements: the phenomena studied, the data used, the theories employed, the methods applied, and the practices of scientists. These five elements are then classified in turn. Notably, the classifications of both theory types and methods allow the key strengths and weaknesses of different theories and methods to be readily discerned and compared. Connections across classifications are explored: should certain theories or phenomena be investigated only with certain methods? What is the proper function and form of scientific paradigms? Are certain common errors and biases in scientific practice associated with particular phenomena, data, theories, or methods? The classifications point to several ways of improving both specialized and interdisciplinary research and teaching, and especially of enhancing communication across communities of scholars. The classifications also support a superior system of document classification that would allow searches by theory and method used as well as causal links investigated.

Content

Inhalt: - Chapter 1: Classifying Science: 1.1. A Simple Classificatory Guideline - 1.2. The First "Cut" (and Plan of Work) - 1.3. Some Preliminaries - Chapter 2: Classifying Phenomena and Data: 2.1. Classifying Phenomena - 2.2. Classifying Data - Chapter 3: Classifying Theory: 3.1. Typology of Theory - 3.2. What Is a Theory? - 3.3. Evaluating Theories - 3.4. Types of Theory and the Five Types of Causation - 3.5. Classifying Individual Theories - 3.6. Advantages of a Typology of Theory - Chapter 4: Classifying Method: 4.1. Classifying Methods - 4.2. Typology of Strengths and Weaknesses of Methods - 4.3. Qualitative Versus Quantitative Analysis Revisited - 4.4. Evaluating Methods - 4.5. Classifying Particular Methods Within The Typology - 4.6. Advantages of a Typology of Methods - Chapter 5: Classifying Practice: 5.1. Errors and Biases in ScienceChapter - 5.2. Typology of (Critiques of) Scientific Practice - 5.3. Utilizing This Classification - 5.4. The Five Types of Ethical Analysis - Chapter 6: Drawing Connections Across These Classifications: 6.1. Theory and Method - 6.2. Theory (Method) and Phenomena (Data) - 6.3. Better Paradigms - 6.4. Critiques of Scientific Practice: Are They Correlated with Other Classifications? - Chapter 7: Classifying Scientific Documents: 7.1. Faceted or Enumerative? - 7.2. Classifying By Phenomena Studied - 7.3. Classifying By Theory Used - 7.4. Classifying By Method Used - 7.5 Links Among Subjects - 7.6. Type of Work, Language, and More - 7.7. Critiques of Scientific Practice - 7.8. Classifying Philosophy - 7.9. Evaluating the System - Chapter 8: Concluding Remarks: 8.1. The Classifications - 8.2. Advantages of These Various Classifications - 8.3. Drawing Connections Across Classifications - 8.4. Golden Mean Arguments - 8.5. Why Should Science Be Believed? - 8.6. How Can Science Be Improved? - 8.7. How Should Science Be Taught?