The MetaMap presents information about metadata standards, sets, and initiatives (MSSIs) in the form of a subway map. The MSSIs are represented as stations on lines having themes. Users can learn about MSSIs of interest to them by navigating around the map and clicking on points of interest to get more information about them. The map is constructed using Scalable Vector Graphics (SVG), a recommendation of the World Wide Web Consortium. Versions in number of languages are available, and more are being built; however, since funding has run out, the mapâ s future is uncertain. This paper discusses the classification of metadata and design issues surrounding representation of this in the form of a subway map. Finally, paths for development of the MetaMap are indicated.

This is a scan of S.R. Ranganathan's Postulates and Normative Principles: Applications in Specialized Databases Design, Indexing and Retrieval, Compiled by A. Neelameghan. Foreword by S. Parthasarathy; Preface by S. Neelameghan; Chapter 1, Hidden Records of Classification; Chapter 2, Absolute Syntax and Structure of an Indexing and Switching Language; Chapter 3: Design of Depth Classification: Methodology; Chapter 4: Subject Heading and Facet Analysis; Chapter 5, S. R. Ranganathan's General Theory of Knowledge Classification in Designing, Indexing, and Retrieving from Specialised Databases. This is a title in the dLIST Classics project. © Sarada Ranganathan Endowment for Library Science (SRELS). Permission for non-profit use granted by SRELS. To purchase reprints of this work, please visit Ess Ess Publications at http://www.essessreference.com/.

This paper outlines three information organization frameworks: library classification, social tagging, and boundary infrastructures. It then outlines functionality of these frameworks. The paper takes a neo-pragmatic approach. The paper finds that these frameworks are complementary, and by understanding the differences and similarities that obtain between them, researchers and developers can begin to craft a vocabulary of evaluation. |||| Cet article présente trois cadres dâ organisation de lâ information : la classification des bibliothèques, lâ étiquetage social et les infrastructures frontières. Cet article souligne les différentes fonctionnalités de ces trois cadres. Une approche néo-pragmatique est utilisée. Les résultats indiquent que ces cadres sont complémentaires et que par la compréhension des différences et des similarités qui existent entre eux, les chercheurs et les développeurs peuvent commencer à créer un vocabulaire pour lâ évaluation.

Connections 2006 in Syracuse, NY, May 20-21 / This study analyses the tagging patterns exhibited by users of del.icio.us and citeulike. Frequency data, coword analysis and thesaural comparisons are used to examine tagging practices and determine where they are continuous or discontinuous with traditional classification and indexing. Results show many commonalities and some intriguing differences.

This is a scan of Putting Knowledge to Work: An American View of Ranganathan's Five Laws of Library Science by Pauline Atherton (aka Pauline A. Cochrane). This book includes publicly delivered essays and reflections on Ranganathan's five laws. It is the printed version of the first lecture of the Sixth Series of the Sarada Ranganathan Lectures in Library Science by Professor Pauline A. Atherton, Professor, School of Library Science, Syracuse University, New York, the Sarada Ranganathan Lecturer for 1970. Her speeches (Chapters D through K) form the main part of the book. Shri Guru Dutt, a distinguished citizen and a scholar in Bangalore, India inaugurated the evening and his inaugural speech is also included (Chapter C). In Chapter B, Professor Neelameghan delivers the Welcome Address and explains the objectives of the Sarada Ranganathan Endowment for Library Science (SRELS), which sponsors these lectures. Chapter A contains the preface to the series. SRELS was founded by Dr Ranganathan and his family, and incorporated with the Treasurer of Charitable Endowments for India in 1963. The objectives of SRELS are: 1. To further the cause of library science; 2. To organise periodically a course of lectures based on the latest ideas and research in library science and called the Sarada Ranganathan Lectures in Library Science; and 3. To assist in the publication of these lectures. This is a title in the dLIST Classics project. © Sarada Ranganathan Endowment for Library Science (SRELS). Permission for non-profit use granted by SRELS. To purchase reprints of this work, please visit Ess Ess Publications at http://www.essessreference.com/.

This paper examines the tagging practices evident on CiteULike, a research oriented social bookmarking site for journal articles. Tagging practices were examined using standard informetric measures for analysis of bibliographic information and term use. Additionally, tags were compared to author keywords and descriptors assigned to the same article.

This is a preprint of the article published in Knowledge Organization 31 (3): 161-176. The work titled "Code for Classifiers" by William Stetson Merrill is examined. The development of Merrill's Code over a period of 27 years, 1912-1939 is traced by examining bibliographic, attribution, conceptual and contextual differences. The general principles advocated, the differences between variants, and three controversial features of the Code: 1) the distinction between classifying vs. classification, 2) borrowing of the bibliographic principle of authorial intention, and 3) use of Dewey Decimal class numbers for classified sequence of topics, are also discussed. The paper reveals the importance of the Code in its own time, the complexities of its presentation and assessment by its contemporaries, and itâ s status today.

The paper suggests extensions to SKOS Core to make explicit where concepts in a knowledge organization system have changed from one version of the system to another.

Artificial Intelligence Lab, Department of MIS, University of Arizona / The rapid proliferation of textual and multimedia online databases, digital libraries, Internet servers, and intranet services has turned researchers' and practitioners' dream of creating an information-rich society into a nightmare of info-gluts. Many researchers believe that turning an info-glut into a useful digital library requires automated techniques for organizing and categorizing large-scale information. This paper presents research in which we sought to develop a scaleable textual classification and categorization system based on the Kohonen's self-organizing feature map (SOM) algorithm. In our paper, we show how self-organization can be used for automatic thesaurus generation. Our proposed data structure and algorithm took advantage of the sparsity of coordinates in the document input vectors and reduced the SOM computational complexity by several order of magnitude. The proposed Scaleable SOM (SSOM) algorithm makes large-scale textual categorization tasks a possibility. Algorithmic intuition and the mathematical foundation of our research are presented in detail. We also describe three benchmarking experiments to examine the algorithm's performance at various scales: classification of electronic meeting comments, Internet homepages, and the Compendex collection.

The marginalization of people through classification schemes results in inadequate access to information about these people when the context is, for example, a bibliographic classification system. When the context is the classification of the people themselves, they themselves are underrepresented, for instance, by society and government support. Taking the case of the natural disaster survivor, this paper explores appropriate steps to devising an accurate classification scheme of the survivors.