Classification, Cataloguing And Marc Crash Course


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Classification, Cataloguing And Marc Crash Course

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Classification, Cataloguing And Marc Crash Course

  1. 1. Classification, Cataloguing and MARC Crash Course Juan Daniel Mastromatteo Manuel Mangue CERN, Geneva, November 2009
  2. 2. Classification <ul><li>A system of coding and organizing materials according to their subject and allocating a call number to that information resource. </li></ul><ul><li>Why there’s a need to classify materials? </li></ul><ul><li>A question of retrieval </li></ul><ul><li>Why not a correlative number? (Documents 1,2,3…100, etc.) </li></ul>
  3. 3. Dewey Decimal Classification (DDC) <ul><li>Developed by Melvil Dewey in 1876; it has been greatly modified and expanded through 22 major revisions, the most recent in 2003. </li></ul><ul><li>The DDC attempts to organize all knowledge into ten main classes. The ten main classes are each further subdivided into ten divisions, and each division into ten sections, giving ten main classes, 100 divisions and 1000 sections. </li></ul><ul><li>DDC's advantage in using decimals for its categories allows it to be both purely numerical and infinitely hierarchical. </li></ul>
  4. 4. DDC Classes <ul><li>000 – Computer science, information & general works </li></ul><ul><li>100 – Philosophy and psychology </li></ul><ul><li>200 – Religion </li></ul><ul><li>300 – Social sciences </li></ul><ul><li>400 – Language </li></ul><ul><li>500 – Science (including mathematics) </li></ul><ul><li>600 – Technology </li></ul><ul><li>700 – Arts and recreation </li></ul><ul><li>800 – Literature </li></ul><ul><li>900 – History, geography, and biography </li></ul>
  5. 5. Universal Decimal Classification (UDC) <ul><li>Developed by the Belgian bibliographers Paul Otlet and Henri La Fontaine at the end of the 19th century. </li></ul><ul><li>Based on the Dewey Decimal Classification, but uses auxiliary signs to indicate various special aspects of a subject and relationships between subjects. It thus contains a significant faceted element, and is used especially in specialist libraries. </li></ul>
  6. 6. UDC Classes <ul><li>0 generalities </li></ul><ul><li>1 philosophy, psychology </li></ul><ul><li>2 religion, theology </li></ul><ul><li>3 social sciences </li></ul><ul><li>4 vacant </li></ul><ul><li>5 natural sciences </li></ul><ul><li>6 technology </li></ul><ul><li>7 the arts </li></ul><ul><li>8 language, linguistics, literature </li></ul><ul><li>9 geography, biography, history </li></ul>
  7. 7. Library of Congress Classification <ul><li>Developed by the Library of Congress. </li></ul><ul><li>It is used by most research and academic libraries in the U.S. and several other countries. </li></ul>
  8. 8. Cataloguing <ul><li>Cataloging rules determine: </li></ul><ul><li>which information from a bibliographic item is included in the entry; </li></ul><ul><li>how this information is presented on a catalog card or in a cataloging record; </li></ul><ul><li>how the entries should be sorted in the catalog. </li></ul>
  9. 9. Anglo-American Cataloguing Rules <ul><li>Published jointly by the American Library Association, the Canadian Library Association, and the Chartered Institute of Library and Information Professionals (in the UK). </li></ul><ul><li>AACR2 is designed for use in the construction of catalogues and other lists in general libraries of all sizes. </li></ul><ul><li>Cover the description of, and the provision of access points for documents. </li></ul><ul><li>[Author name] : Cervantes Saavedra, Miguel de </li></ul><ul><li>[Resouce name] : slides, e-book, CD-ROM </li></ul><ul><li>[Pagination] : 200p. : il. 20 cm. </li></ul><ul><li>Resource Description and Access or RDA </li></ul>
  10. 10. <ul><li>Thesauri </li></ul><ul><li>A work that lists words grouped together according to similarity of meaning (containing synonyms and sometimes antonyms), in contrast to a dictionary, which contains definitions and pronunciations. Examples: LCSH. </li></ul><ul><li>Onthologies </li></ul><ul><li>In computer science and information science, an ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts. </li></ul><ul><li>Used in artificial intelligence, the Semantic Web, systems engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, and information architecture as a form of knowledge representation about the world or some part of it. Examples: OWL, RDF, Topic Maps. </li></ul>
  11. 11. Machine Readable Cataloguing (MARC) Manuel’s Demo