Merit Demerit of using Universal Decimal pure.iva.dk/files/30772829/Amina_Kaosar_ and Demerits of using Universal Decimal Classification on Internet Advisor: Birger Hjrland By Amina

  • View
    215

  • Download
    1

Embed Size (px)

Text of Merit Demerit of using Universal Decimal pure.iva.dk/files/30772829/Amina_Kaosar_ and Demerits of...

  • Thesis for Masters Degree

    Merit & Demerit of using Universal Decimal

    Classification on the Internet

    Amina Kaosar

    Master Programme in Library and Information Science

    The Royal School of Library and Information Science

    Denmark

    May 2008

  • Merits and Demerits of using Universal Decimal Classification on

    Internet

    Advisor: Birger Hjrland

    By

    Amina Kaosar

    Master Programme in Library and Information Science

    The Royal School of Library and Information Science Denmark

    A thesis submitted to the faculty of the Royal School of Library

    and information Science in partial fulfillment of the requirements

    for the degree of Master programme in Library and Information

    science.

    Copenhagen, Denmark

    May 2008

    Approved by

    Thesis Advisor Professor Birger Hjrland

  • To my family and friends

    for their invaluable love and support

  • ii

    Abstract

    Internet is one of the global repositories of information, which gives

    many possibilities for librarians and information providers to seek information.

    Information retrieval in the World Wide Web (WWW) remains a baffling

    challenge despite the development of so many search engines and Meta search

    engines. Library classification schemes have been devised with the aim of

    organizing the collection to make the retrieval easier, effective and efficient.

    As there is a shift in the focus of libraries the role of classification schemes are

    also changing.

    In the online environment, a faceted classification has a distinct

    advantage over an enumerative one in the kind of search strategies it

    empowers as well as in expert system applications making use of the synthesis

    and decomposition of class numbers. As we know that Universal Decimal

    Classification is a combination of facet analysis and enumerative scheme. So I

    believe, Universal Decimal classification can perform better than other

    schemes like (Dewey Decimal Classification, Colon Classification, Bliss

    Classification) because these schemes are only facet analysis or enumerative

    schemes. In this thesis Universal Decimal Classification (UDC) approach is

    discussed and the arguments for and against using UDC on the Internet is

    examined.

    The analytical and empirical methods have been used to discuss the

    paper. This thesis tries to delineate Universal Decimal Classification (UDC),

    the use of UDC, it is features and analyze the merits and demerits of UDC on

    Internet. We do the empirical study with domain of Medicine, General and

    Internal to check the suitability and efficiency of the UDC in respect to

    classify the knowledge of Web sources. We as well analyze that if it is more

  • iii

    suitable to use then what are the requirements to make it more efficient for the

    classification of chaotic knowledge of Web.

    The past hundred years have seen the progress of numerous systems

    for the structured representation of knowledge and information, including

    hierarchical classification systems with notation as well as alphabetical

    indexing systems with sophisticated features for the representation of term

    relationships. The reasons for the lack of extensive adoption of these systems

    are discussed. The suggested structure for indexing the Internet or other large

    electronic collections of documents is based on that of book indexes: specific

    headings with coined modifications.

  • iv

    Acknowledgement

    I would like to express my gratitude to many people who have

    enriched not only my research experience, but also this important period in my

    life. First of all, I would like to express my sincere thanks to my thesis advisor,

    Professor Birger Hjrland, for his continuous support, guidance and

    encouragement during the entire course of my MS studies, and would like to

    thank him in advance for all his future advice.

    Furthermore, I would like to thank affiliated faculty members of

    Information Science Department for two great years Professors Peter

    Ingwersen, Birger Larsen, Jack Anderson, Michael Kristiansson and Trine

    Schreiber for their invaluable comments during the regular Lectures and

    Workshops. I would also thank my friends in the department and in the school.

    Last but not the least, I would like to thank my family and relatives,

    whose love, support and encouragement have accompanied me throughout my

    life. They supported me in every feasible way and in every single moment

    during these years and they were always beside me although they were so

    many thousand miles away. Words alone can never express my gratitude.

  • v

    Table of Contents

    Abstract ........................................................................................................... ii

    Acknowledgement ................................................................................... iv

    Table of Contents ....................................................................................... v

    List of Tables .............................................................................................. vi

    1. Introduction ...................................................................................... 1 1.1 Research Background ....................................................................... 1

    1.2 Motivation and Objectives................................................................ 2

    1.3 Methodology ..................................................................................... 5

    1.4 Thesis Organization .......................................................................... 6

    2. Universal Decimal Classification ......................................... 7 2.1 Introduction ....................................................................................... 7

    2.2 Features ........................................................................................... 10

    2.3 Merits and Demerits........................................................................ 13

    2.3.1 Merits .............................................................................................. 13

    2.3.2 Demerits .......................................................................................... 19

    2.4 Summary ......................................................................................... 23

    3. Theoretical Analysis .................................................................. 24 3.1 Universal decimal classification on Internet .................................. 26

    3.2 Requirement of KOS for digital services ....................................... 31

    3.3 Conclusion ...................................................................................... 33

    4. Description of applied Methods and analysis .............. 34 4.1 Application of Methods .................................................................. 35

    4.2 Analysis ........................................................................................... 35

    4.3 Conclusion ...................................................................................... 45

    5. Conclusion and Future Work ................................................ 46

    Abbreviations ............................................................................................. 50

    Bibliography ............................................................................................... 52

  • vi

    List of Tables

    1. UDC main classes.8

    2. Common auxiliary table.12

    3. Hierarchical structure.15

    4. Name of websites used UDC to classify information .29

    5. Current status of UDC based websites.....30

    6. Class number of JAMA articles through UDC39

    7. Class number of LANCET articles through UDC...........40

  • C h a p t e r 1

    1. Introduction

    1.1 Research Background

    Classification is the term, which involved in our daily life knowingly

    or unknowingly. Classification is the process of organizing system of like

    things together. According to Hunter (2002), wherever one looks, examples

    of the use of classification can be found. In post Vedic India, the Hindu

    society was divided in four varnas, Brahmin, Kshatriya, Vaisya and Shudra

    according to their social standing in marital and occupational matters. The

    procedure necessary in forming groups is called classifying and the result is a

    classification. It may be interesting to note the example of the vegetable seller.

    He separate vegetables by type, shape and size and keep them in different

    baskets and shelves. Clearly, he recognizes that the classification lies at the

    base of every well managed life and occupation (Maltby, 1975).

    In Library Science, the term classification is the activity of creating

    categories to which bibliographic items of all kinds may be placed and also the

    activity of identifying bibliographic items in terms of the categories already

    extent in a given system. It encompasses system for arranging items on the

    shelves of libraries, as well as systems for arranging the surrogates of items in

    catalogs. It includes classificatory systems based on all kinds of item

    characteristics (subject, form, author, citation, size, etc.), in all forms of order

    (logical and systematic, alphabetical, faceted, etc.), with all kinds of o