Modelling semantic relationships and centrality to facilitate community knowledge sharing

Styliani Kleanthous, Vania Dimitrova

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Some of today's most widely spread applications are social systems where people can form communities and share knowledge. However, knowledge sharing is not always effective and communities often do not sustain. Can user modelling approaches help to identify what support could be offered and how this would benefit the community? The paper presents algorithms for extracting a model of a closely-knit virtual community following processes identified as important for effective communities. The algorithms are applied to get an insight of a real virtual community and to identify what support may be needed to help the community function better as an entity.

    Original languageEnglish
    Title of host publicationAdaptive Hypermedia and Adaptive Web-Based Systems - 5th International Conference, AH 2008, Proceedings
    Pages123-132
    Number of pages10
    Volume5149 LNCS
    DOIs
    Publication statusPublished - 2008
    Event5th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2008 - Hannover, Germany
    Duration: 29 Jul 20081 Aug 2008

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume5149 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other5th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2008
    Country/TerritoryGermany
    CityHannover
    Period29/07/081/08/08

    Keywords

    • Community Adaptation
    • Community Model
    • Knowledge Sharing

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