the user model and context ontology gumo revised for future web 2.0 extension

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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.

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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. - PowerPoint PPT Presentation

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Page 1: 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.

Page 2: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

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 be-tween existing user model and context system.

IDS Lab. Seminar - 2

Page 3: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

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 dimen-sions 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’s Symponies – 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….. }

IDS Lab. Seminar - 3

Page 4: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

UbisWorld Ontology

IDS Lab. Seminar - 4

Page 5: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

UbisWorld Ontology

IDS Lab. Seminar - 5

Page 6: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

Representation of GUMO in OWL

Three example concept definitions :

Physiological State

Happiness

Has Knowledge

Physiological State

IDS Lab. Seminar - 6

Page 7: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

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.

IDS Lab. Seminar - 7

Page 8: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

Representation of GUMO in OWL

Has Knowledge

IDS Lab. Seminar - 8

Page 9: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

U2M-UserModelServer

The user model server manages information about users or indi-viduals 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

IDS Lab. Seminar - 9

Page 10: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

User Model propety example

IDS Lab. Seminar - 10

Page 11: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

Situational Statements

For integrating Data Structure for User Modeling, Con-text-Awareness and Resource-Adaptive Computing

Basic Triples

Extended Triples

IDS Lab. Seminar - 11

Page 12: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

Situational Statements examples

IDS Lab. Seminar - 12

Basic Triples

Extended Triples

Page 13: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

Situational Statements in OWL

IDS Lab. Seminar - 13

Page 14: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

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… )

IDS Lab. Seminar - 14

Page 15: The User model and Context Ontology GUMO  revised for future Web 2.0 Extension

Copyright 2008 by CEBTCenter for E-Business Technology

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 com-puting in Web 2.0 to the so fat only semantic web ap-proach in order to determine the possible advantages of combining tag-space mining and ontology engineering.

IDS Lab. Seminar - 15