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Knowledge Organization in Library Science

 


Knowledge Organization


Knowledge Organization (KO) is about activities such as document description, indexing and classification performed in libraries, databases, archives etc. These activities are done by librarians, archivists, subject specialists as well as by computer algorithms. KO as a field of study is concerned with the nature and quality of such knowledge organizing processes (KOP) as well as the knowledge organizing systems (KOS) used to organize documents, document representations and concepts. There exist different historical and theoretical approaches to and theories about KO, which are related to different views of knowledge, cognition, language, and social organization. Each of these approaches tends to answer the question: “What is knowledge organization?” differently. LIS professionals have often concentrated on applying new technology and standards, and may not have seen their work as involving interpretation and analysis of meaning. That is why library classification has been criticized for a lack of substantive intellectual content. Traditional human-based activities are increasingly challenged by computer-based retrieval techniques. It is appropriate to investigate the relative contributions of different approaches; the current challenges make it imperative to reconsider this understanding. This paper offers an understanding of KO based on an explicit theory of knowledge. Knowledge Organisation, often referred to as KO, is a field of investigation within Library and Information Science (LIS). As already mentioned, KO is directly related to Information Retrieval (IR) – the science of searching for documents, for information within documents and for metadata about documents. KO investigates into the nature and order of knowledge, and primarily concerned with grouping of like things, documents, for information within documents and for metadata about documents. KO investigates into the nature and order of knowledge, and primarily concerned with grouping of related things.

 

Knowledge Organisation Systems (KOS)


KOS refers to the semantic tools that present the organised interpretation of knowledge structures. In this broad sense, libraries, encyclopaedias, academic disciplines and such other knowledge organisation systems may serve as examples of KOS. However, it is all important for the development of knowledge organisation, as an intelligent system, to know how far the traditional semantic tools and schemes are relevant and effective in networked resource environment. The term ‘Knowledge Organisation Systems’ was coined by the Networked Knowledge Organisation Systems Working Group at the ACM Digital Libraries 098 Conference in Pittsburgh, Pennsylvania. KOS does not include anything more than what KO does, other than its emphasis on system. In a general way, KOS refers to the semantic tools that present the organised interpretation of knowledge structures. In this broad sense, libraries, encyclopaedias, academic disciplines and such other knowledge organisation systems may serve as examples of KOS.

Common Characteristics of Knowledge Organisation Systems

  •  KOS imposes a particular view of the world. 
  •  The same entity can be characterised in different ways depending on the KOS that is used. 
  •  There must be a sufficient commonality between the concept in KOS and the real world objects it refers. 
  •  A person seeking relevant material by using a KOS must be able to connect his or her concept with its representation in the system. 
KOS imposes a particular view of the world on a particular collection through: 

  •  Providing a controlled list. 
  •  Controlling synonyms or equivalents. 
  •  Linking DL (digital library) resources to related resources. 
  •  Making semantic relationships explicit
 Knowledge Organisation Systems for Digital Libraries 

  •  KOS is intended to encompass all types of schemes for organising information and promoting       knowledge management. 
  •  Includes traditional classification schemes, subject headings, thesauri, etc. 
  •  Includes less traditional schemes such as semantic networks and ontology
  •  All digital libraries use one or more KOS. 

 

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Knowledge Organization


Introduction 

The term knowledge organization consists of two distinct concepts, i.e. knowledge and organization. While knowledge is universally accepted and well-known concept, its organization refers to the activities involved in categorization of knowledge for its effective retrieval. It involves all activities that are undertaken to organize the published knowledge. The published knowledge could be either in physical format or in digital format. Libraries perform a number of activities for the organization of knowledge that includes classification, cataloguing, indexing of documents available in a library with an aim to provide prompt access to a specific collection of knowledge resources. Basically, knowledge organization means classification of knowledge in various categories so that it can be easily retrieved, whenever required. Traditional libraries deploy a number of tools and techniques to organize their physical collections with an aim to provide most effective and efficient method of browsing, searching and listing of documents available in a library. Such traditional tools and techniques are also being deployed for organizing web information resources. However, there are a number of key differences between traditional print-based resources and electronic resources. Since traditional tools and techniques were found inadequate to develop effective resource discovery and information access, new metadata standards, tools and techniques are developed to handle digital information resources. In traditional library system, the classification and cataloguing are used to organize the knowledge available in print format. These tools became quite popular because of their deftness and flexibility

 Need and Purpose 

The first and foremost reason for knowledge organization is to search and retrieve required pieces of knowledge effectively and efficiently. Knowledge Organization Systems (KOS) are being deployed increasingly for this purpose. These KOS are user-friendly, with easy to access interface. The Main purposes for knowledge organization are as follows: 

• To assist users in search and retrieval of knowledge effectively and efficiently; 

• To enable a user to browse knowledge resources available in a digital library;

• To generate multiple listing of knowledge resources available in a digital library; 

• Facilitate search and browse; 

• To provide pathways to reach the documents;

• To define a relationship/link between documents; and 

• To locate a particular digital document within a fraction of time.

Problems of Knowledge Organization in Digital Library 

Digital library consists of a set of collections that are available in a variety of formats and types. Digital objects housed in a digital library should be organized in a structured and systematic manner in order to facilitate effective and efficient searching, browsing and retrieval experience to users of digital library. It is a challenge to build-up a simple and effective knowledge organization tool for a digital library. In traditional library system, the published knowledge is organized using tools such as Anglo American Cataloguing Rules-2 (AACR2), Classified Catalogue Code (CCC) for cataloguing and Dewey Decimal Classification (DDC), Colon Classification (CC), Universal Decimal Classification (UDC), Library of Congress (LC) for classification. These tools cannot be used for organization of digital content. As such, new tools including metadata schema, markup languages, ontologies, thesauri etc., have emerged as knowledge organization tools and methods for organizing research in a digital library. Metadata standards and schema help us to create metadata for digital content although, they cannot be used to refer to a specific portion of the digital content/document. Markup languages such as SGML (Standard Generalized Markup Language) or XML (Extensible Markup Language) are used as pointer to refer to a specific section of a digital document by deploying appropriate and precise tags, so that specific content in a document can be extracted using a predefined set of tags. As such, it can be said that while traditional tools were effective for printed documents, new sets of tools are required for knowledge organization in digital environment that facilitate effective searching, retrieval, browsing and multiple listing of digital content.


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