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2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

9-12 Dec. 2008

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  • WI-IAT Workshops 2008 [Title page i]

    Publication Year: 2008, Page(s): i
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  • WI-IAT Workshops 2008 [Title page] iii

    Publication Year: 2008, Page(s): iii
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  • WI-IAT Workshops 2008 [Copyright notice]

    Publication Year: 2008, Page(s): iv
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  • WI-IAT Workshops 2008 Table of contents

    Publication Year: 2008, Page(s):v - xvi
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  • WI-IAT Workshops Preface

    Publication Year: 2008, Page(s):xvii - xxii
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  • CISWSN 2008 Organization

    Publication Year: 2008, Page(s):xxiii - xxiv
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  • WIRSS 2008 Organization

    Publication Year: 2008, Page(s): xxv
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  • WPRRS 2008 Organization

    Publication Year: 2008, Page(s): xxvi
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  • IWI 2008 Organization

    Publication Year: 2008, Page(s): xxvii
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  • IEG 2008 Organization

    Publication Year: 2008, Page(s): xxviii
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  • FLOW 2008 Organization

    Publication Year: 2008, Page(s): xxix
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  • NLPOE 2008 Organization

    Publication Year: 2008, Page(s): xxx
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  • TUMAS-A 2008 Organization

    Publication Year: 2008, Page(s): xxxi
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  • IWCSN 2008 Organization

    Publication Year: 2008, Page(s):xxxii - xxxiii
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  • ODM 2008 Organization

    Publication Year: 2008, Page(s): xxxiv
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  • HAI 2008 Organization

    Publication Year: 2008, Page(s):xxxv - xxxvi
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  • ECBS 2008 Organization

    Publication Year: 2008, Page(s): xxxvii
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  • P2P 2008 Organization

    Publication Year: 2008, Page(s): xxxviii
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  • ADMI 2008 Organization

    Publication Year: 2008, Page(s):xxxix - xl
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  • WLIAMAS 2008 Organization

    Publication Year: 2008, Page(s):xli - xlii
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  • WI-IAT 2008 Doctoral Workshop

    Publication Year: 2008, Page(s): xliii
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  • A Method for Integration across Text Corpus and WordNet-Based Ontologies

    Publication Year: 2008, Page(s):1 - 4
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (202 KB) | HTML iconHTML

    Most information in the world exists in the format of text, such as news articles and web pages. Different lines of research have been conducted to discover, understand and access knowledge about real-world entities and relations from text. However, the application of these word oriented methods to ontology integration tasks has not been yet explored. In this paper, we apply these word oriented me... View full abstract»

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  • A Decisional Trust Implementation on a Maintenance System by the Means of Decisional DNA and Reflexive Ontologies

    Publication Year: 2008, Page(s):5 - 8
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (301 KB) | HTML iconHTML

    This article introduces the elements that we replaced together in order to achieve a decisional technology that can offer trust. Thus, we refer to it as Decisional Trust. Enhancing a decisional knowledge system with trust means that the user relies on what the system knows and that the system possesses a qualified reliance on received knowledge. Our proposal works in two fronts:(i) the constructio... View full abstract»

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  • Temporal Changes in Connection Patterns of an Email-Based Social Network

    Publication Year: 2008, Page(s):9 - 12
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (263 KB) | HTML iconHTML

    Network motifs are small subgraphs that reflect local network topology and were shown to be useful for creating profiles that reveal several properties of the network. Analysis of three-node motifs (triads) was used in this paper to track the temporal changes in the structure of large social network derived from email communication between the employees of Wroclaw University of Technology. View full abstract»

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  • A Study on Community Formation in Collaborative Tagging Systems

    Publication Year: 2008, Page(s):13 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (403 KB) | HTML iconHTML

    Current collaborative tagging systems do not allow community members to easily view available data related to their communities. In this paper, we present our study on community formation centered around common interests, utilizing data from del.icio.us. We propose an approach to clustering tags and users based on their similarity. We also report some practical results related to implicit grouping... View full abstract»

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