A Novel Approach for the Population and Adaptation of Ontology-Based User Profiles

User personalisation within context-aware applications has become increasingly prevalent in recent years. The use of ontologies enriched with semantics has enabled the creation of highly relevant user profiles, which have been used to facilitate the personalisation of assistive services. Existing wo...

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Published inUbiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services pp. 280 - 287
Main Authors Skillen, Kerry-Louise, Nugent, Chris D., Donnelly, Mark P., Chen, Liming Luke, Burns, William, Solheim, Ivar
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2014
SeriesLecture Notes in Computer Science
Subjects
adaptation
clustering
context
data analysis
data mining
ontology
semantic web
usage mining
User profile
Online AccessGet full text
ISBN9783319131016
331913101X
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-13102-3_46

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Abstract User personalisation within context-aware applications has become increasingly prevalent in recent years. The use of ontologies enriched with semantics has enabled the creation of highly relevant user profiles, which have been used to facilitate the personalisation of assistive services. Existing work highlights the challenge of aiding non-expert users to intuitively manage their own profiles. This paper details a new approach to help enable the automatic creation, population and adaptation of ontology-based user profiles. Primarily, the research aims to create and enrich ontological profiles over time, for the purposes of user personalisation. The approach has been realised through the development of an intuitive desktop application, which has been evaluated through a series of experiments.
AbstractList User personalisation within context-aware applications has become increasingly prevalent in recent years. The use of ontologies enriched with semantics has enabled the creation of highly relevant user profiles, which have been used to facilitate the personalisation of assistive services. Existing work highlights the challenge of aiding non-expert users to intuitively manage their own profiles. This paper details a new approach to help enable the automatic creation, population and adaptation of ontology-based user profiles. Primarily, the research aims to create and enrich ontological profiles over time, for the purposes of user personalisation. The approach has been realised through the development of an intuitive desktop application, which has been evaluated through a series of experiments.
Author Skillen, Kerry-Louise
Donnelly, Mark P.
Solheim, Ivar
Burns, William
Chen, Liming Luke
Nugent, Chris D.
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Hervás, Ramón
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Snippet User personalisation within context-aware applications has become increasingly prevalent in recent years. The use of ontologies enriched with semantics has...
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StartPage 280
SubjectTerms adaptation
clustering
context
data analysis
data mining
ontology
semantic web
usage mining
User profile
Title A Novel Approach for the Population and Adaptation of Ontology-Based User Profiles
URI http://link.springer.com/10.1007/978-3-319-13102-3_46
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