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Maximizing Collaboration Using Topic Maps-Based Ontology

Maximizing Collaboration Using Topic Maps-Based Ontology
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Author(s): Myongho Yi (Texas Woman’s University, USA)
Copyright: 2010
Pages: 10
Source title: Collaborative Technologies and Applications for Interactive Information Design: Emerging Trends in User Experiences
Source Author(s)/Editor(s): Scott Rummler (Researcher, USA)and Kwong Bor Ng (Queens College, CUNY, USA)
DOI: 10.4018/978-1-60566-727-0.ch008

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Abstract

Enhanced information organization is more critical than ever in the digital world where ill-structured information is increasing because of the rapid growth of intranets, the Internet, and user-created content. This chapter discusses limitations of current information organization approaches in the digital age and incorporating ontology into information organizations, thus enhancing collaboration possibilities. This chapter compares the two ontology languages, RDF and Topic Maps, addresses the selection guidelines between the two ontology languages, and then presents user performance using a Topic Maps-based ontology.

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