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What is Knowledge Representation and Indexing

Handbook of Research on Social Interaction Technologies and Collaboration Software: Concepts and Trends
In the context of information storage and retrieval techniques, knowledge representation is concerned with providing methods for organizing and representing knowledge domains and sorting documents accordingly. A traditional way to do this is by document indexing: i.e., by assigning keywords or notations (usually taken from a controlled vocabulary or classification scheme) to a document to describe its content.
Published in Chapter:
Folksonomy: The Collaborative Knowledge Organization System
Katrin Weller (Heinrich Heine University of Düsseldorf, Germany), Isabella Peters (Heinrich Heine University of Düsseldorf, Germany), and Wolfgang G. Stock (Heinrich Heine University of Düsseldorf, Germany)
DOI: 10.4018/978-1-60566-368-5.ch013
Abstract
This chapter discusses folksonomies as a novel way of indexing documents and locating information based on user generated keywords. Folksonomies are considered from the point of view of knowledge organization and representation in the context of user collaboration within the Web 2.0 environments. Folksonomies provide multiple benefits which make them a useful indexing method in various contexts; however, they also have a number of shortcomings that may hamper precise or exhaustive document retrieval. The position maintained is that folksonomies are a valuable addition to the traditional spectrum of knowledge organization methods since they facilitate user input, stimulate active language use and timeliness, create opportunities for processing large data sets, and allow new ways of social navigation within document collections. Applications of folksonomies as well as recommendations for effective information indexing and retrieval are discussed.
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