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Footnote

Other selected specialized metadata element sets or schemas, such as Government Information Locator Service (GILS), are presented. Attention is brought to the different sets of elements and the need for linking up these elements across metadata schemes from a semantic point of view. It is no surprise, then, that after the presentation of additional specialized sets of metadata from the educational community and the arts sector, attention is turned to the discussion of Crosswalks between metadata element sets or the mapping of one metadata standard to another. Finally, the five appendices detailing elements found in Dublin Core, GILS, ARIADNE versions 3 and 3. 1, and Categories for the Description of Works of Art are an excellent addition to this chapter's focus on metadata and communities of practice. Chapters 3-6 provide an up-to-date account of the use of metadata standards in Libraries from the point of view of a community of practice. Some of the content standards included in these four chapters are AACR2, Dewey Decimal Classification (DDC), and Library of Congress Subject Classification. In addition, uses of MARC along with planned implementations of the archival community's encoding scheme, EAD, are covered in detail. In a way, content in these chapters can be considered as a refresher course on the history, current state, importance, and usefulness of the above-mentioned standards in Libraries. Application of the standards is offered for various types of materials, such as monographic materials, continuing resources, and integrating library metadata into local catalogs and databases. A review of current digital library projects takes place in Chapter 7. While details about these projects tend to become out of date fast, the sections on issues and problems encountered in digital projects and successes and failures deserve any reader's close inspection. A suggested model is important enough to merit a specific mention below, in a short list format, as it encapsulates lessons learned from issues, problems, successes, and failures in digital projects. Before detailing the model, however, the various projects included in Chapter 7 should be mentioned. The projects are: Colorado Digitization Project, Cooperative Online Resource Catalog (an Office of Research project by OCLC, Inc.), California Digital Library, JSTOR, LC's National Digital Library Program and VARIATIONS.
Chapter 8 discusses issues of archiving and preserving digital materials. The chapter reiterates, "What is the point of all of this if the resources identified and catalogued are not preserved?" (Gorman, 2003, p. 16). Discussion about preservation and related issues is organized in five sections that successively ask why, what, who, how, and how much of the plethora of digital materials should be archived and preserved. These are not easy questions because of media instability and technological obsolescence. Stakeholders in communities with diverse interests compete in terms of which community or representative of a community has an authoritative say in what and how much get archived and preserved. In discussing the above-mentioned questions, the authors once again provide valuable information and lessons from a number of initiatives in Europe, Australia, and from other global initiatives. The Draft Charter on the Preservation of the Digital Heritage and the Guidelines for the Preservation of Digital Heritage, both published by UNESCO, are discussed and some of the preservation principles from the Guidelines are listed. The existing diversity in administrative arrangements for these new projects and resources notwithstanding, the impact on content produced for online reserves through work done in digital projects and from the use of metadata and the impact on levels of reference services and the ensuing need for different models to train users and staff is undeniable. In terms of education and training, formal coursework, continuing education, and informal and on-the-job training are just some of the available options. The intensity in resources required for cataloguing digital materials, the questions over the quality of digital resources, and the threat of the new digital environment to the survival of the traditional library are all issues quoted by critics and others, however, who are concerned about a balance for planning and resources allocated for traditional or print-based resources and newer digital resources. A number of questions are asked as part of the book's conclusions in Chapter 10. Of these questions, one that touches on all of the rest and upon much of the book's content is the question: What does the future hold for metadata in libraries? Metadata standards are alive and well in many communities of practice, as Chapters 2-6 have demonstrated. The usefulness of metadata continues to be high and innovation in various elements should keep information professionals engaged for decades to come. There is no doubt that metadata have had a tremendous impact in how we organize information for access and in terms of who, how, when, and where contact is made with library services and collections online. Planning and commitment to a diversity of metadata to serve the plethora of needs in communities of practice are paramount for the continued success of many digital projects and for online preservation of our digital heritage."

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RSWK

Wissensorganisation / Aufsatzsammlung (GBV)
Indien / Wissensbasiertes System / Aufsatzsammlung (SWB)
Indien / Informations- und Dokumentationswissenschaft / Aufsatzsammlung (SWB)

Subject

Wissensorganisation / Aufsatzsammlung (GBV)
Indien / Wissensbasiertes System / Aufsatzsammlung (SWB)
Indien / Informations- und Dokumentationswissenschaft / Aufsatzsammlung (SWB)

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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

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Content

This work is a comprehensive guide to Edition 21 of the Dewey Decimal Classification (DDC 21). The previous edition was edited by John Phillip Comaromi, who also was the editor of DDC 20 and thus was able to impart in its pages information about the inner workings of the Decimal Classification Editorial Policy Committee, which guides the Classification's development. The manual begins with a brief history of the development of Dewey Decimal Classification (DDC) up to this edition and its impact internationally. It continues on to a review of the general structure of DDC and the 21st edition in particular, with emphasis on the framework ("Hierarchical Order," "Centered Entries") that aids the classifier in its use. An extensive part of this manual is an in-depth review of how DDC is updated with each edition, such as reductions and expansions, and detailed lists of such changes in each table and class. Each citation of a change indicates the previous location of the topic, usually in parentheses but also in textual explanations ("moved from 248.463"). A brief discussion of the topic moved or added provides substance to what otherwise would be lists of numbers. Where the changes are so dramatic that a new class or division structure has been developed, Comparative and Equivalence Tables are provided in volume 1 of DDC 21 (such as Life sciences in 560-590); any such list in this manual would only be redundant. In these cases, the only references to changes in this work are those topics that were moved from other classes. Besides these citations of changes, each class is introduced with a brief background discussion about its development or structure or both to familiarize the user with it. A new aspect in this edition of the DDC study manual is that it is combined with Marty Bloomberg and Hans Weber's An Introduction to Classification and Number Building in Dewey (Libraries Unlimited, 1976) to provide a complete reference for the application of DDC. Detailed examples of number building for each class will guide the classifier through the process that results in classifications for particular works within that class. In addition, at the end of each chapter, lists of book summaries are given as exercises in number analysis, with Library of Congress-assigned classifications to provide benchmarks. The last chapter covers book, or author, numbers, which-combined with the classification and often the date-provide unique call numbers for circulation and shelf arrangement. Guidelines in the application of Cutter tables and Library of Congress author numbers complete this comprehensive reference to the use of DDC 21. As with all such works, this was a tremendous undertaking, which coincided with the author completing a new edition of Conversion Tables: LC-Dewey, Dewey-LC (Libraries Unlimited, forthcoming). Helping hands are always welcome in our human existence, and this book is no exception. Grateful thanks are extended to Jane Riddle, at the NASA Goddard Space Flight Center Library, and to Darryl Hines, at SANAD Support Technologies, Inc., for their kind assistance in the completion of this study manual.

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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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Footnote

Over the course of the book, a number of misconceptions haunting taxonomy work are addressed and carefully dispelled. 'taxonomy development is often thought to be an abstract task of analyzing and classifying entities, performed in complete isolation. On the contrary, taxonomies are to a large extent products of users' perceptions and worldviews, strongly influenced by the pre-existing information infrastructure. They can also be dangerous tools having the potential to reveal and clarify but also to exclude and conceal critical details that can have a large impact on basic business activities such as managing risk, controlling costs, understanding customers and supporting innovation. If the first part of the hook introduces concepts, provides definitions and challenges wrong assumptions about taxonomies and the work of taxonomy-building, the second one takes us step-by-step through a typical project. From here on, insights become part of practicable frameworks that form the basis of a concrete information-management strategy and process so flexible so as to be used in very different organizational environments and scenarios. Starting from the definition of stakeholders, purpose and scope and ending with deployment, validation and governance, a taxonomy-building project is realistically presented as an iterative and fascinating journey over competing needs, changing goals, mixed cues and technical and cognitive constraints. Beyond introducing fundamental guiding principles and addressing relevant implementation challenges, Organising Knowledge provides a large dose of political and pragmatic advice to make your efforts useful in contributing to the overall knowledge and information infrastructure. Taxonomies, much like architect's blueprints, only represent theory until they are implemented in practice involving real people and real content. As Lambe explains, this step requires crossing over to the other side of the barricade, wearing the user's shoes and constructing an information neighborhood, designing and populating a metadata framework, solving usability issues and successfully dealing with records management and information architecture concerns.
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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Date

22. 5.2007 12:07:51

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Date

22. 3.2008 17:56:19

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Date

27.12.2008 11:22:36