A Semantic Web Architecture for Personalized Profiles
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A Semantic Web Architecture for Personalized Profiles

A Semantic Web Architecture for Personalized Profiles


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About the Book

This dissertation, "A Semantic Web Architecture for Personalized Profiles" by Ka-lam, Elsa, Chui, 徐嘉琳, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled [A Semantic Web Architecture for Personalized Profiles] submitted by [Chui Ka Lam Elsa] for the degree of Master of Philosophy at the University of Hong Kong in August 2003 Many organizations or academic institutions establish and maintain their own expert directories, which contain details of individuals with specific skills or expertise. This practice provides the flexibility for organizations to construct applications, but outdated or inconsistent information is a common phenomenon. Some directories may depend on existing worldwide expert databases. This might reduce the work needed by experts to maintain multiple copies of profiles located at diverse directories, but the control on the personal information by experts is usually limited. Besides, duplication of profiles data is usually performed in building new directories in both approaches. In this study we suggest an expert networks model and propose a personalized profiles exchange architecture based on semantic web vision. The objectives are to support the control by experts and to facilitate the effective development and management of expert directories. We examine the advantages of using semantic web technologies, and discuss the significance of the exchange mechanism and the personalization design. We also develop a prototype, which is used to demonstrate the feasibility of implementing our proposed architecture and show how the RDF (Resource Description Framework) technologies and other XML family standards such as syndication, access control and transforming are appropriately applied. The strengths and weaknesses of our approach are analyzed in detail through comparisons with other related projects. Finally, proposals for the further development of our model are discussed. DOI: 10.5353/th_b2961336 Subjects: Semantic WebPersonnel records - Data processingSpecialists


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Product Details
  • ISBN-13: 9781374717527
  • Publisher: Open Dissertation Press
  • Publisher Imprint: Open Dissertation Press
  • Height: 279 mm
  • Weight: 286 gr
  • ISBN-10: 1374717525
  • Publisher Date: 27 Jan 2017
  • Binding: Paperback
  • Spine Width: 6 mm
  • Width: 216 mm


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