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The User model and Context Ontology GUMO revised for future Web 2.0 Extension

The User model and Context Ontology GUMO revised for future Web 2.0 Extension. Dominik Heckmann , Eric Schwarzkopf, Junichiro Mori Context and Ontologies : Repesentation and Reasoning 2007 2008. 4. 4 Summarized by Gong GI Hyun, IDS Lab. Introduction.

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The User model and Context Ontology GUMO revised for future Web 2.0 Extension

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  1. The User model and Context Ontology GUMO revised for future Web 2.0 Extension DominikHeckmann, Eric Schwarzkopf, Junichiro Mori Context and Ontologies : Repesentation and Reasoning 2007 2008. 4. 4 Summarized by Gong GI Hyun, IDS Lab.

  2. Introduction • A Commonly accepted top level ontology for user models could be of great importance for the UM research. • Current trends of web 2.0 and social computing tell us that users like to create their own tag spaces naming conventions and taxonomies. • The problem is syntactical and structural differences between existing user model and context system. Center for E-Business Technology

  3. GUMO • General User Model Ontology is the central point of interest for the task of exchanging user models. • GUMO was to divide the descriptions of user model dimensions into three parts : auxiliary - predicate – range. • Something about the user’s interest in football • Interest(aux) – football(predicate) – high,low(range) • User’s knowledge about Beethoven’s symponies • Knowledge – Beetoven’sSymponies – poor,good • Users hair color • Property – hair_color – black, red, brown,…. • A list of identified important user model auxiliaries could be • { has Property, has Interest, has Knowledge, has Preference, has Location, has Goal, has Plan….. } Center for E-Business Technology

  4. UbisWorld Ontology Center for E-Business Technology

  5. UbisWorld Ontology Center for E-Business Technology

  6. Representation of GUMO in OWL • Three example concept definitions : • Physiological State • Happiness • Has Knowledge • Physiological State Center for E-Business Technology

  7. Representation of GUMO in OWL • Happiness • Durability • Qualitative time span of how long the statement is expected to valid. • Some example of Durability • PhysiologicalState.heartbeat – can change within seconds. • emotionalState.happiness – can change within hours. • Demographics.birthplace – can’t normally change. Center for E-Business Technology

  8. Representation of GUMO in OWL • Has Knowledge Center for E-Business Technology

  9. U2M-UserModelServer • The user model server manages information about users or individuals in general. • Storing user information • To exchange user information between different application. • Privacy control • Applications can retrieve or add information to the server by simple HTTP request. • Request Example • http://u2m.org/UbisWorld/UserModelServer.php? subject=Joerg.210006&auxiliary=hasProperty&predicate=Age.800302 Center for E-Business Technology

  10. User Model propety example Center for E-Business Technology

  11. Situational Statements • For integrating Data Structure for User Modeling, Context-Awareness and Resource-Adaptive Computing • Basic Triples • Extended Triples Center for E-Business Technology

  12. Situational Statements examples • Basic Triples • Extended Triples Center for E-Business Technology

  13. Situational Statements in OWL Center for E-Business Technology

  14. Futher works in the era of future Web? • There are no new technologies introduced by Web 2.0 • But, the role and value of the user has been changed significantly. ( Tagging, Taxonomy, social rating… ) Center for E-Business Technology

  15. Summary • We have revisited the user model and context ontology GUMO. • To enrich GUMO user model, we use UbisWorld ontology which we develop and U2M user model server. • Introduce ‘Situational Statement’ as an integrating data structure for Context ontology such as GUMO. • The futher goal is to find out the influence of social computing in Web 2.0 to the so fat only semantic web approach in order to determine the possible advantages of combining tag-space mining and ontology engineering. Center for E-Business Technology

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