Search (30 results, page 2 of 2)

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Abstract

Domains are basically constituted of three kinds of theories and concepts: (1) ontological theories and concepts about the objects of human activity; (2) epistemological theories and concepts about knowledge and the ways to obtain knowledge, implying methodological principles about the ways objects are investigated; and (3) sociological concepts about the groups of people concerned with the objects. There are complicated relations between these elements. Basic theories about those relationships are, for example, forms of philosophical realism and social constructivism. In this paper these concepts and theories are introduced, and their implications for knowledge organization outlined, with illustrations drawn from this special issue of Knowledge Organization.

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Abstract

Purpose - The purpose of this paper is to examine the importance and influence of the epistemologies: "empiricism", "rationalism" and "positivism" in library and information science (LIS). Design/methodology/approach - First, outlines the historical development of these epistemologies, by discussing and identifying basic characteristics in them and by introducing the criticism that has been raised against these views. Second, their importance for and influence in LIS have been examined. Findings - The findings of this paper are that it is not a trivial matter to define those epistemologies and to characterise their influence. Many different interpretations exist and there is no consensus regarding current influence of positivism in LIS. Arguments are put forward that empiricism and positivism are still dominant within LIS and specific examples of the influence on positivism in LIS are provided. A specific analysis is made of the empiricist view of information seeking and it is shown that empiricism may be regarded as a normative theory of information seeking and knowledge organisation. Originality/value - The paper discusses basic theoretical issues that are important for the further development of LIS as a scholarly field.

Source

Journal of documentation. 61(2005) no.1, S.130-155

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Abstract

What kind of knowledge is needed by information specialists working in a specific subject field like medicine, sociology or music? What approaches have been used in information science to produce kinds of domain-specific knowledge? This article presents 11 approaches to domain analysis. Together these approaches make a unique competence for information specialists. The approaches are: producing literature guides and subject gateways, producing special classifications and thesauri; research an indexing and retrieving specialities, empirical user studies; bibliometrical studies; historical studies; document and genre studies; epistemological and critical studies; terminological studies, LSP (languages for special purposes), discourse studies; studies of structures and institutions in scientific communication; and domain analysis in professional cognition and artificial intelligence. Specific examples and selective reviews of literature are provided, and the strengths and drawbacks of each of these approaches are discussed

Source

Journal of documentation. 58(2002) no.4, S.422-462

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Abstract

The term 'the bibliographic paradigm' is used in the literature of library and information science, but is a very seldom term and is almost always negatively described. This paper reconsiders this concept. Method. The method is mainly 'analytical'. Empirical data concerning the current state of the UDC-classification system are also presented in order to illuminate the connection between theory and practice. Analysis. The bibliographic paradigm is understood as a perspective in library and information science focusing on documents and information resources, their description, organization, mediation and use. This perspective is examined as one among other metatheories of library and information science and its philosophical assumptions and implications are outlined. Results. The neglect and misunderstanding of 'the bibliographic paradigm' as well as the quality of the new UDC-classification indicate that both the metatheoretical discourses on library and information science and its concrete practice seem to be in a state of crisis.

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Content

"In a new article published in Journal of Documentation, 2002, I claim that the special competency of information specialists and information scientists are related to "domain analysis." Information science grew out of special librarianship and documentation (cf. Williams, 1997), and implicit in its tradition has in my opinion been a focus an subject knowledge. Although domain analysis has earlier been introduced in JASIST (Hjoerland & Albrechtsen, 1995), the new article introduces 11 Specific approaches to domain analysis, which I Claim together define the Specific competencies of information specialists. The approaches are (I) Producing and evaluating literature guides and subject gateways, (2) Producing and evaluating special classifications and thesauri, (3) Research an and competencies in indexing and retrieving information specialties, (4) Knowledge about empirical user studies in subject areas, (5) Producing and interpreting bibliometrical studies, (6) Historical studies of information structures and Services in domains, (7) Studies of documents and genres in knowledge domains, (8) Epistemological and critical studies of different paradigms, assumptions, and interests in domains, (9) Knowledge about terminological studies, LSP (Languages for Special Purposes), and discourse analysis in knowledge fields, (10) Knowledge about and studies of structures and institutions in scientific and professional communication in a domain, (11) Knowledge about methods and results from domain analytic studies about professional cognition, knowledge representation in computer science and artificial intelligence. By bringing these approaches together, the paper advocates a view which may have been implicit in previous literature but which has not before been Set out systematically. The approaches presented here are neither exhaustive nor mutually exhaustve, but an attempt is made to present the state of the art. Specific examples and selective reviews of literature are provided, and the strength and drawback of each of these approaches are being discussed. It is my Claim that the information specialist who has worked with these 1 1 approaches in a given domain (e.g., music, sociology, or chemistry) has a special expertise that should not be mixed up with the kind of expertise taught at universities in corresponding subjects. Some of these 11 approaches are today well-known in schools of LIS. Bibliometrics is an example, Other approaches are new and represent a view of what should be introduced in the training of information professionals. First and foremost does the article advocates the view that these 1 1 approaches should be seen as supplementary. That the Professional identity is best maintained if Chose methods are applied to the same examples (same domain). Somebody would perhaps feel that this would make the education of information professionals too narrow. The Counter argument is that you can only understand and use these methods properly in a new domain, if you already have a deep knowledge of the Specific information problems in at least orte domain. It is a dangerous illusion to believe that one becomes more competent to work in any field if orte does not know anything about any domain. The special challenge in our science is to provide general background for use in Specific fields. This is what domain analysis is developed for. Study programs that allow the students to specialize and to work independent in the selected field (such as, for example, the Curriculum at the Royal School of LIS in Denmark) should fit well with the intentions in domain analysis. In this connection it should be emphasized that the 11 approaches are presented as general approaches that may be used in about any domain whatsoever. They should, however, be seen in connection. If this is not the case, then their relative strengths and weaknesses cannot be evaluated. The approaches do not have the same status. Some (e.g., empirical user studies) are dependent an others (e.g., epistemological studies).
It is my hope that domain analysis may contribute to the strengthening of the professional and scientific identity of our discipline and provide more coherence and depth in information studies. The paper is an argument about what should be core teachings in our field, It should be both broad enough to cover the important parts of IS and Specific enough to maintain a special focus and identity compared to, for example, computer science and the cognitive sciences. It is not a narrow view of information science and an the other hand it does not Set forth an unrealistic utopia."

Source

Journal of the American Society for Information Science and technology. 53(2002) no.14, S.1275-76

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Abstract

This article presents a socio-cognitive perspective in relation to information science (IS) and information retrieval (IR). The differences between traditional cognitive views and the socio-cognitive or domain-analytic view are outlined. It is claimed that, given elementary skills in computer-based retrieval, people are basically interacting with representations of subject literatures in IR. The kind of knowledge needed to interact with representations of subject literatures is discussed. It is shown how different approaches or "paradigms" in the represented literature imply different information needs and relevance criteria (which users typically cannot express very well, which is why IS cannot primarily rely on user studies). These principles are exemplified by comparing behaviorism, cognitivism, psychoanalysis, and neuroscience as approaches in psychology. The relevance criteria implicit in each position are outlined, and empirical data are provided to prove the theoretical claims. It is further shown that the most general level of relevance criteria is implied by epistemological theories. The article concludes that the fundamental problems of IS and IR are based in epistemology, which therefore becomes the most important allied field for IS.

Source

Journal of the American Society for Information Science and technology. 53(2002) no.4, S.257-270

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Source

Annual review of information science and technology. 35(2001), S.249-298

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Abstract

The aim of this chapter is to demonstrate that semantic issues underlie all research questions within Library and Information Science (LIS, or, as hereafter, IS) and, in particular, the subfield known as Knowledge Organization (KO). Further, it seeks to show that semantics is a field influenced by conflicting views and discusses why it is important to argue for the most fruitful one of these. Moreover, the chapter demonstrates that IS has not yet addressed semantic problems in systematic fashion and examines why the field is very fragmented and without a proper theoretical basis. The focus here is on broad interdisciplinary issues and the long-term perspective. The theoretical problems involving semantics and concepts are very complicated. Therefore, this chapter starts by considering tools developed in KO for information retrieval (IR) as basically semantic tools. In this way, it establishes a specific IS focus on the relation between KO and semantics. It is well known that thesauri consist of a selection of concepts supplemented with information about their semantic relations (such as generic relations or "associative relations"). Some words in thesauri are "preferred terms" (descriptors), whereas others are "lead-in terms." The descriptors represent concepts. The difference between "a word" and "a concept" is that different words may have the same meaning and similar words may have different meanings, whereas one concept expresses one meaning.

Source

Annual review of information science and technology. 41(2007), S.367-405

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