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Date

22. 5.2007 10:37:38

LCSH

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Subject

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Footnote

Rez. in: JASIST. 58(2007) no.6., S.909-910 (A.D. Petrou): "A division in metadata definitions for physical objects vs. those for digital resources offered in Chapter 1 is punctuated by the use of broader, more inclusive metadata definitions, such as data about data as well as with the inclusion of more specific metadata definitions intended for networked resources. Intertwined with the book's subject matter, which is to "distinguish traditional cataloguing from metadata activity" (5), the authors' chosen metadata definition is also detailed on page 5 as follows: Thus while granting the validity of the inclusive definition, we concentrate primarily on metadata as it is most commonly thought of both inside and outside of the library community, as "structured information used to find, access, use and manage information resources primarily in a digital environment." (International Encyclopedia of Information and Library Science, 2003) Metadata principles discussed by the authors include modularity, extensibility, refinement and multilingualism. The latter set is followed by seven misconceptions about metadata. Two types of metadata discussed are automatically generated indexes and manually created records. In terms of categories of metadata, the authors present three sets of them as follows: descriptive, structural, and administrative metadata. Chapter 2 focuses on metadata for communities of practice, and is a prelude to content in Chapter 3 where metadata applications, use, and development are presented from the perspective of libraries. Chapter 2 discusses the emergence and impact of metadata on organization and access of online resources from the perspective of communities for which such standards exist and for the need for mapping one standard to another. Discussion focuses on metalanguages, such as Standard Generalized Markup Language (SGML) and eXtensible Markup Language (XML), "capable of embedding descriptive elements within the document markup itself' (25). This discussion falls under syntactic interoperability. For semantic interoperability, HTML and other mark-up languages, such as Text Encoding Initiative (TEI) and Computer Interchange of Museum Information (CIMI), are covered. For structural interoperability, Dublin Core's 15 metadata elements are grouped into three areas: content (title, subject, description, type, source, relation, and coverage), intellectual property (creator, publisher, contributor and rights), and instantiation (date, format, identifier, and language) for discussion.

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Content

Dervos, D.A., A. Coleman: A common sense approach to defining data, information, and metadata. - Keränen, S.: Equivalence and focus of translation in multicultural thesaurus construction. - Dabbadie, M., J.M. Blancherie: Alexandria, a multilingual dictionary for knowledge management purposes. - Rosemblat, G., L. Graham: Cross-language search in a monolingual health information system: flexible designs and lexical processes. - Garcia Marco, F.J.: Understanding the categories and dynamics of multimedia information: a model for analysing multimedia information. - Afolabi, B., O. Thiery: Using users' expectations to adapt business intelligence systems. - Zimmermann, K., J. Mimkes u. H.U. Kamke: An ontology framework for e-learning in the knowledge society. - Jacob, E.K., H. Albrechtsen u. N. George: Empirical analysis and evaluation of a metadata scheme for representing pedagogical resources in a digital library for educators. - Breitenstein, M.: Global unity: Otto Neurath and the International Encyclopedia of United Science. - Andersen, J.: Social change, modernity and bibliography: bibliography as a document and a genre in the global learning society. - Miksa, S.D., WE. Moen u. G. Snyder u.a.: Metadata assistance of the Functional Requirements for Bibliographic Record's four user tasks: a report on the MARC content designation utilization (MCDU) project. - Salaba, A., M.L. Zeng u. M. Zumer: Functional Requirements for Subject Authority Records. - Frâncu, V.: Subjects in FRBR and poly-hierarchical thesauri as possible knowledge organization tools. - Peschl, M.F.: Knowledge-oriented educational processes from knowledge transfer to collective knowledge creation and innovation. - Miller, S.J., M.J. Fox u. H.L. Lee u.a.: Great expectations: professionals' perceptions and knowledge organization curricula. - Pajarillo, E.J.Y.: A qualitative research on the use of knowledge organization in nursing information behavior.

Date

27.12.2008 11:22:36

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Date

22. 5.2007 12:07:51

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Content

Inhalt: KNOWLEDGE ORGANIZATION Towards a Future for Knowledge Organization Ingetraut Dahlberg Professor Neelameghan's Contribution to the Advancement and Development of Classification in the Context of Knowledge Organization Nancy J. Williamson Knowledge Orgnization System Over Time S. Seetharama The Facet Concept as a Universal Principle of Subdivisio Clare Beghtol Facet Analysis as a Knowledge Management Tool on the Internet Kathryn La Barre and Pauline Atherton Cochrane The Universal Decimal Classification: A Response to a Challenge I. C. Mellwaine Controlled Vocabularies as a Sphere of Influence Anita S. Coleman and Paul Bracke Aligning Systems of Relationship Rebecca Green and Carol A. Bean Terminologies, Ontologies and Information Access Widad Mustafa El Hadi SATSAN AUTOMATRIX Version 1 : A Computer Programme for Synthesis of Colon Class Number According to the Postulational Approach B. G. Satyapal and N. Sanjivini Satyapal. INTEROPERABILITY, DIGITAL LIBRARY AND INFORMATION RETRIEVAL Interoperable Institutional Digital Research Repositories and Their Potential for Open Access Research Knowledge Management T. B. Rajashekar Boundary Objects and the Digital Library Michael Shepherd and Corolyn Watters A PFT-based Approach to Make CDS/ISIS Data based OAI-Compliant Francis Jayakanth and L. Aswath The changing Language Technology and CDS/ ISIS: UNICODE and the Emergence of OTF K. H. Hussain and J. S. Rajeev Text Mining in Biomedicine: Challenges and Opportunities Padmini Srinivasan Determining Authorship of Web Pages Timothy C. Craven

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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?

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Date

22. 3.2008 17:56:19

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Series

Content and communication: Terminology, language resources and semantic interoperability; Bd.2

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Abstract

Summary Taxonomies are often thought to play a niche role within content-oriented knowledge management projects. They are thought to be 'nice to have' but not essential. In this groundbreaking book, Patrick Lambe shows how they play an integral role in helping organizations coordinate and communicate effectively. Through a series of case studies, he demonstrates the range of ways in which taxonomies can help organizations to leverage and articulate their knowledge. A step-by-step guide in the book to running a taxonomy project is full of practical advice for knowledge managers and business owners alike. Key Features Written in a clear, accessible style, demystifying the jargon surrounding taxonomies Case studies give real world examples of taxonomies in use Step-by-step guides take the reader through the key stages in a taxonomy project Decision-making frameworks and example questionnaires Clear description of how taxonomies relate to technology applications The Author Patrick Lambe is a widely respected knowledge management consultant based in Singapore. His Master's degree from University College London is in Information Studies and Librarianship, and he has worked as a professional librarian, as a trainer and instructional designer, and as a business manager in operational and strategic roles. He has been active in the field of knowledge management and e-learning since 1998, and in 2002 founded his own consulting and research firm, Straits Knowledge, with a partner. He is former President of the Information and Knowledge Society, and is Adjunct Professor at Hong Kong Polytechnic University. Patrick speaks and writes internationally on knowledge management. Readership This book is written primarily for knowledge managers and key stakeholders in knowledge management projects. However, it is also useful to all information professionals who wish to understand the role of taxonomies in a corporate setting. It may be used as a teaching text for postgraduate students in Information Studies, Library Science, and Knowledge Management, as well as at MBA level. Contents Part One: Dealing with Babel - the problem of coordination; why taxonomies are important; definitions; taxonomy as a common language; taxonomies express what is important; socially constructed; the business case for taxonomies; taxonomies in KM, collaboration, expertise management and information management; taxonomies, typologies and sensemaking Part Two: Fixing the foundations: planning your taxonomy project - understanding your context; identifying and engaging stakeholders; defining your purpose; planning your approach; communicating and setting expectations; managing myths; how NOT to do a taxonomy project; a taxonomy as a standard; digital information, hierarchies and facets Part Three: Building the floors: implementing your taxonomy project - Implicit taxonomies; evidence gathering; analysis or sensemaking; validation principles and techniques; change management and learning; taxonomy sustainability and governance; taxonomies and technology; measuring success Part Four: Looking skywards: the future of taxonomies - complexity and sensemaking; taxonomies as sensemaking frameworks and patterns; taxonomies and serendipity; taxonomies and ambiguity; anti-taxonomy and folksonomies; taxonomies, ignorance and power; taxonomies and organisational renewal