Library Classification Trends in the 21st Century
eBook - ePub

Library Classification Trends in the 21st Century

  1. 186 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Library Classification Trends in the 21st Century

About this book

Library Classification Trends in the 21st Century traces development in and around library classification as reported in literature published in the first decade of the 21st century. It reviews literature published on various aspects of library classification, including modern applications of classification such as internet resource discovery, automatic book classification, text categorization, modern manifestations of classification such as taxonomies, folksonomies and ontologies and interoperable systems enabling crosswalk. The book also features classification education and an exploration of relevant topics.- Covers all aspects of library classification- It is the only book that reviews literature published over a decade's time span (1999-2009)- Well thought chapterization which is in tune with the LIS and classification curriculum

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Yes, you can access Library Classification Trends in the 21st Century by Rajendra Kumbhar in PDF and/or ePUB format, as well as other popular books in Languages & Linguistics & Information Management. We have over one million books available in our catalogue for you to explore.
1

Knowledge organisation and knowledge organisation systems

Abstract:

This chapter presents a review of literature dealing with the meaning of knowledge organisation and knowledge organisation systems. It also discusses literature that deals with history and trends in knowledge organisation and knowledge organisation systems. Literature that discusses the importance and functions of knowledge organisation systems is also reviewed in this chapter.
Key words
knowledge organisation
knowledge organisation systems

Introduction

Human societies have been characterised as knowledge-sharing societies. Knowledge is the sum total of ideas, emotions, beliefs and experiences conserved by the society (Satija, 2008). Knowledge can be categorised into two categories, i.e. subjective knowledge (knowledge as a thought in the individual’s mind) and objective knowledge (knowledge as an independent object). Zins (2004) distinguished between subjective and objective knowledge and explained the importance of knowledge organisation by stating that knowledge organisation plays a key role in the creation, learning and dissemination of knowledge. Knowledge organisation has its own epistemological foundation and has implications for: (i) classification research; (ii) development of classification schemes; and (iii) knowledge maps. All of these are core elements of librarianship; knowledge organisation also forms a core component of librarianship.
What is knowledge organisation? According to Hjorland (2008b), knowledge organisation consists of activities such as document description, indexing, classification performed in libraries, databases, archives, etc. These activities are carried out by librarians, archivists, subject specialists as well as by computer algorithms. Knowledge organisation as a field of study is concerned with the nature and quality of knowledge-organising processes as well as knowledge organisation systems. Knowledge organisation systems are used to organise documents, document representations and concepts. Knowledge organisation has various theories and different historical and theoretical approaches which are related to different views of knowledge, cognition, language and social organisation. Hjorland expressed that each of these approaches tends to answer differently the question: ā€˜What is knowledge organisation?’ He finally offers an understanding of knowledge organisation explicitly based on theory of knowledge. All knowledge organisation systems basically organise concepts. Thus, there is a symbiosis between the concept theory and knowledge organisation systems (Hjorland, 2009).
Knowledge organisation is facilitated by a knowledge organisation system. As defined by Hodge (2000) and quoted by Zeng (2008), a knowledge organisation system encompasses all types of schemes for organising information and promoting knowledge management, such as classification schemes, gazetteers, lexical databases, taxonomies, thesauri and ontologies. While providing an overview of these knowledge organisation systems, Zeng (2008) added two more systems – i.e. authority files and synonym rings – and categorised the various knowledge organisation systems into two categories based on their structure (from flat to multi-dimensional) and main functions (e.g., eliminating ambiguity, controlling synonyms or equivalents, establishing explicit semantic relationships, hierarchical and associative relationships, etc.).

Knowledge organisation and knowledge organisation systems – history and trends

Knowledge organisation systems are as old as librarianship itself. Though the present review is of recent literature, scholars have written about the past of knowledge organisation systems and so also about the current trends. While writing on the occasion of the 50 years of the Institute of Information Scientists (UK), Dextre Clarke (2008) presented a historical review and discussed the current status of the developments in knowledge organisation tools, theories and principles. According to Dextre Clarke, research in classification principles, faceted classification, theories and practices in thesaurus construction, use of technology in the design and development of knowledge organisation tools are some of the landmarks in the development of knowledge organisation tools. By 1958 (the year in which the Institute of Information Scientists was launched) the principles of classification, especially faceted classification, were well established, which provided an excellent springboard for developments in knowledge organisation systems. In the next two decades of the Institute’s existence, the principles of thesaurus construction and use were worked out. Then arrived the desktop computer, soon followed by the growth of networks, providing access to an almost unimaginable quantity and variety of resources, which stimulated evolution of knowledge organisation schemes to exploit the technology available.
The changing trends in knowledge organisation are analysed by Saumure and Shiri (2008). For this the authors searched the literature on knowledge organisation in the LISTA (Library and Information Science and Technology Abstracts) database by using the term ā€˜knowledge organisation’ or ā€˜information organisation’. The retrieved literature was analysed into pre-and post-web era to explore the current trends in the knowledge organisation. Through the analysis the authors observed that the classic knowledge organisation principles remained prominent throughout both eras but the focus of the knowledge organisation literature has shifted from indexing and abstracting to new areas, such as metadata. Nevertheless, the issues of cataloguing and classification are still dominating the landscape in the post-web era. Saumure and Shiri’s findings will be useful particularly to those interested in learning about upcoming trends in the knowledge organisation. Knowledge organisation systems are further gaining momentum because the development of the Internet as a major medium of publication has stretched the capacity of search engines to cope with retrieval (Broughton and Lane, 2000). Like any other field, computers and related technologies are increasingly used for designing and developing knowledge organisation tools. For example, using the WINISIS, the Sarada Ranganathan Endowment for Library Science (SRELS) developed three knowledge organisation tools: an index to Colon Classification, edition 7; a toolkit for learning and teaching postulational approach to classifying subject; and a machine-readable biosciences thesaurus (Neelameghan, 2002c). More information about the developments and trends in knowledge organisation systems with special reference to the online and Internet era can be obtained from Chan and Zeng (2004).

Importance and functions of knowledge organisation systems

What is the real problem in organisation and retrieval of knowledge and how old is it? According to Garshol (2004), to be faced with a document collection and not be able to find the information you know exists somewhere within it is a problem as old as the existence of document collections. Information architecture (which, according to the author, is synonymous with knowledge organisation) is the discipline that deals with the modern version of this problem, i.e. how to organise websites so that users can actually find what they are looking for. Classification, thesauri and taxonomies are the various traditional tools used in the creation of information architecture/knowledge organisation and retrieval.
The initial purpose of knowledge organisation systems was to help in the organisation of printed documents in libraries. With changes in the knowledge-containing formats and increase in their volume, newer knowledge organisation systems were developed. Each of the knowledge organisation systems came into existence with new purpose and/or to add to the strength of an existing knowledge organisation system. Electronic form of documents is one of the newer forms. Nielsen (2008) opines that the different knowledge organisation tools are designed and developed for different purposes. These purposes include: indexing of information and documents; search and retrieval of information; developing semantic-based domain maps; providing conceptual basis for knowledge-based systems, e.g., automated classification systems, etc. Nielsen reported that there are still challenges involved in leveraging the full potential of the above-mentioned knowledge organisation tools for advanced digital library applications. These challenges were addressed at the 7th European Networked Knowledge Organisation Systems/Services (NKOS) workshop.
Do we find a specific trend in the adoption of the various knowledge organisation tools in a specific country? Shiri and Molberg’s (2004) survey answers this curiosity. The authors conducted a survey to know which of the various knowledge organisation tools are incorporated by the Canadian digital library collections in their search interfaces. The survey was based on literature review, deep scanning of Canadian governmental and academic institutions’ websites, discussions with researchers involved in knowledge organisation and with knowledge organisation people in governmental organisations. The survey revealed that a total of 33 digital library collections widely used knowledge organisation systems such as thesauri, subject heading lists and classification schemes. It is also a known fact that Canada has long been adopting the various knowledge organisation tools produced in the US. These include the Library of Congress Classification scheme, the Library of Congress List of Subject Headings, the Dewey Decimal Classification and the Sears List of Subject Headings. This is because there are many similarities between the US and Canada. However, Holley (2008) explored that there are also differences between these two countries which require changing terminology, greater depth and precision in subject headings and classification for specifically Canadian topics. The Library and Archives Canada (LAC) is making efforts to provide suitable extensions for LCC and LCSH. Holley analysed the history and philosophy of these efforts.
A knowledge organisation system primarily performs two functions, i.e. searching and browsing. These two are complementary functions. Each of these two functions is performed by different types of knowledge organisation tools. Searching involves the use of subject headings, indexing terms from a controlled vocabulary, or natural language key words. Whereas browsing, of documents on the shelf or of information present on the web, requires the application of some kind of taxonomy or classification scheme (Currier, 2002). All knowledge organisation systems model the underlying semantic structure of a domain and provide semantics, navigation and translating through labels, definitions, relationships and properties of concepts. A knowledge organisation system when embodied as web services facilitates resource discovery and retrieval by acting as a semantic roadmap, thereby making possible a common orientation for indexers and future users, either human or machine. This function of knowledge organisation system is illustrated by Koch and Tudhope (2003, 2004) and quoted by Zeng (2008).
Topic maps are one of the knowledge organisation tools. According to Garshol (2004), topic maps go beyond the traditional solutions in the sense they provide a framework within which not only the traditional tools can be represented as they are, but also extended in ways which significantly improve information retrieval. Thus mapping can be a potential solution to the terminological problems in digital libraries as it provides improved retrieval effectiveness for users and opportunity to use multilingual schemes effectively. Along with these advantages, however, it has labour-intensive, expensive, high-maintenance requirements to keep it up to date. McCulloch, Shiri and Nicholson (2005) discussed these issues and reviewed other solutions for terminological problems. A summarised account of the functions of classification, thesauri and ontologies is provided by Soergel (1999) and Gopinath (2001b).
It could be observed from the above literature dealing with knowledge organisation and knowledge organisation systems that constant efforts are made to design, develop, implement, evaluate and redesign knowledge organisation systems and tools. Beghtol’s (2008) article is probably a perfect extension of these efforts, which provided guidelines for establishing ethical policies for knowledge organisation and cataloguing. These policies could be implemented consistently using the ethics toolkit. Beghtol studied three professional codes of ethics and presented the core value of access to information and indicated how these codes govern consensual issues in knowledge organisation and classification. The codes, however, do not address non-consensual issues.
2

Classification and its uses

Abstract:

This chapter reviews literature that deals with the importance of classification in the digital era and uses of classification in diverse activities of librarianship. It reviews literature that discusses the use of classification in browsing online catalogues, in the development of thesauri and taxonomy, in organising web-based information sources, in classification of web pages, in classification of search queries, in e-learning and many other areas.
Key words
uses of classification
use of classification in taxonomy development
use of classification in classification of web pages
use of classification in e-learning

Importance in the digital era

Classification is ...

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Preface
  6. Glossary of classification terminology
  7. About the author
  8. Chapter 1: Knowledge organisation and knowledge organisation systems
  9. Chapter 2: Classification and its uses
  10. Chapter 3: Construction of classification schemes
  11. Chapter 4: General classification schemes
  12. Chapter 5: Special classification schemes and classification of non-bibliographic entities
  13. Chapter 6: Automatic book classification, reclassification and non-classificatory approaches to knowledge organisation
  14. Chapter 7: Classification education
  15. Chapter 8: Modern knowledge organisation systems and interoperability
  16. Chapter 9: Text categorisation
  17. Chapter 10: Classification: theories, research trends and personalities
  18. Books on classification published during 1999–2009
  19. Reference
  20. Index