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Abstract

"The Semantic Web is an extension of the current Web in which information is given well defined meaning, better enabling computers and people to work in cooperation." - Tim Berners Lee, "Scientific American", May 2001. This authoritative guide shows how the "Semantic Web" works technically and how businesses can utilize it to gain a competitive advantage. It explains what taxonomies and ontologies are as well as their importance in constructing the Semantic Web. The companion web site includes further updates as the framework develops and links to related sites.

Date

22. 5.2007 10:37:38

Footnote

Rez. Amazon: "Die Autoren bezeichnen das Buch im Vorwort als strategischen Führer für Führungskräfte und Entwickler die sich einen Überblick über das Semantic Web und die dahinter stehende Vision machen wollen. Genau diesem Anspruch wird das Buch auch absolut gerecht. Die ersten beiden Kapitel beschreiben die Vision sowie die Möglichkeiten, die sich durch den Einsatz der in den nachfolgenden Kapiteln beschriebenen Techniken bieten. Die Autoren schaffen es anhand vieler praktischer Szenarien (die zwar teilweise meiner Einschätzung nach schon noch in einiger Zukunft liegen, aber die große Vision des ganzen schön vergegenwärtigen) sehr schnell den Leser für die Technik zu begeistern und mehr darüber wissen zu wollen. Die nachfolgenden Kapitel beschreiben die Techniken auf den verschiedenen semantischen Ebenen von XML als Basis für alles weitere, über Web Services, RDF, Taxonomies und Ontologies. Den Autoren gelingt es die beschriebenen Techniken so kurz und prägnant zu erklären, dass sich der Leser danach zumindest ein Bild über die Techniken an sich, sowie über deren komplexes Zusammenspiel machen kann. Auch für Entwickler würde ich das Buch empfehlen, da es einen sehr guten Einstieg in viele doch sehr neue Techniken bietet mit vielen Verweisen auf weitere Literatur. Alles in allem ein sehr gelungenes Buch, das es trotz relativ geringem Umfangs schafft, einen guten Überblick über dieses komplexe Thema zu vermitteln."

LCSH

Semantic Web
Web site development

RSWK

Semantic Web

Subject

Semantic Web
Semantic Web
Web site development

Theme

Semantic Web

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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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Footnote

Rez. in: KO 34(2007) no.4, S.266-267 (E. Quintarelli): "The knowledge and information world we live in can rarely be described from a single coherent and predictable point of view. In the global economy and mass society, an explosion of knowledge sources, different paradigms and information-seeking behaviors, fruition contexts and access devices are overloading our existence with an incredible amount of signals and stimulations, all competing for our limited attention. Taxonomies are often cited as tools to cope with, organize and make sense of this complex and ambiguous environment. Leveraging an extensive review of literature from a variety of disciplines, as well as a wide range of relevant real-life case studies, Organising Knowledge by Patrick Lambe has the great merit of liberating taxonomies from their recurring obscure and limitative definition, making them living, evolving and working tools to manage knowledge within organizations. Primarily written for knowledge and information managers, this book can help a much larger audience of practitioners and students who wish to design, develop and maintain taxonomies for large-scale coordination and organizational effectiveness both within and across societies. Patrick Lambe opens ours eyes to the fact that, far from being just a synonym for pure hierarchical trees to improve navigation, find-ability and information retrieval, taxonomies take multiple forms (from lists, to trees, facets and system maps) and play different roles, ranging from basic information organization to more subtle tasks, such as establishing common ground, overcoming boundaries, discovering new opportunities and helping in sense-making.
While each single paragraph of the book is packed with valuable advice and real-life experience, I consider the last chapter to be the most intriguing and ground-breaking one. It's only here that taxonomists meet folksonomists and ontologists in a fundamental attempt to write a new page on the relative position between old and emerging classification techniques. In a well-balanced and sober analysis that foregoes excessive enthusiasm in favor of more appropriate considerations about content scale, domain maturity, precision and cost, knowledge infrastructure tools are all arrayed from inexpensive and expressive folksonomies on one side, to the smart, formal, machine-readable but expensive world of ontologies on the other. In light of so many different tools, information infrastructure clearly appears more as a complex dynamic ecosystem than a static overly designed environment. Such a variety of tasks, perspectives, work activities and paradigms calls for a resilient, adaptive and flexible knowledge environment with a minimum of standardization and uniformity. The right mix of tools and approaches can only be determined case by case, by carefully considering the particular objectives and requirements of the organization while aiming to maximize its overall performance and effectiveness. Starting from the history of taxonomy-building and ending with the emerging trends in Web technologies, artificial intelligence and social computing, Organising Knowledge is thus both a guiding tool and inspirational reading, not only about taxonomies, but also about effectiveness, collaboration and finding middle ground: exactly the right principles to make your intranet, portal or document management tool a rich, evolving and long-lasting ecosystem."

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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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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?

Footnote

Rez. in: KO 32(2005) no.2, S.93-95 (H. Albrechtsen): "The book deals with mapping of the structures and contents of sciences, defined broadly to include the social sciences and the humanities. According to the author, the study of science, as well as the practice of science, could benefit from a detailed classification of different types of science. The book defines five universal constituents of the sciences: phenomena, data, theories, methods and practice. For each of these constituents, the author poses five questions, in the well-known 5W format: Who, What, Where, When, Why? - with the addition of the question How? (Szostak 2003). Two objectives of the author's endeavor stand out: 1) decision support for university curriculum development across disciplines and decision support for university students at advanced levels of education in selection of appropriate courses for their projects and to support cross-disciplinary inquiry for researchers and students; 2) decision support for researchers and students in scientific inquiry across disciplines, methods and theories. The main prospective audience of this book is university curriculum developers, university students and researchers, in that order of priority. The heart of the book is the chapters unfolding the author's ideas about how to classify phenomena and data, theory, method and practice, by use of the 5W inquiry model. . . .

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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.

LCSH

Machine / readable bibliographic data formats

Subject

Machine / readable bibliographic data formats

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Date

22. 5.2007 12:07:51

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Date

22. 3.2008 17:56:19