Handling Semantic Heterogeneity in Interoperable Distributed User Models
Identifieur interne : 000566 ( Main/Exploration ); précédent : 000565; suivant : 000567Handling Semantic Heterogeneity in Interoperable Distributed User Models
Auteurs : Francesca Carmagnola [Italie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
English descriptors
- Teeft :
- Adaptive, Algorithm, Algorithm returns values, Application scenario, Available providers systems, Bootstrap user models, Bridge differences, Carlo, Carmagnola, Complete collection, Complete picture, Computer science, Concept rock, Conversion approach, Different concepts, Different platforms, Different systems, Different terms, Different ways, Diverse settings, Domain knowledge, Domain model, Domain ontologies, Domain ontology, Format approach, General user model ontology, Generic user model component, Geological object, Heidelberg, Heterogeneity, Information systems, Instance data, Intermediate solution, Interoperability, Interoperability process, Interoperable, Interoperable user models, Levenshtein distance, Lncs, Major challenge, Maximum leverage, Meaning level, Modeling, Music genre, Novice user, Object rock, Object similarity algorithm, Ontology, Other systems, Overall similarity measure, Possible solution, Proper granularity, Property similarity algorithm, Proprietary format, Provider, Provider system, Provider systems, Psychedelic rock, Query, Query language, Resource description framework, Resource user, Rock music, Same concept, Scenario, Semantic, Semantic heterogeneity, Semantic interoperability, Semantic mapping, Semantic representation, Semantic similarity, Semantics, Serql, Serql query, Share user data, Shareable, Shareable user model, Shareable user models, Similarity measure, Springer, Syntactic, System icity, Technical report, Threshold score, Tuple subject, Ubiquitous user modeling, User, User context model, User data, User information, User model, User model data, User model exchange, User model interoperability, User model interoperability process, User modeling, User modelling, User models, User models interoperability, Useradaptive systems, Users interactions.
Abstract
Abstract: Due to the overspread of user adaptive systems user data are collected and processed in diverse settings and from different platforms. The computational effort to extract user models is commonly repeated across applications and domains, mainly due to lack of interoperability and synchronization among user-adaptive systems. One way of achieving a complete picture of a user’s experience is to allow systems to share user data to obtain maximum leverage and reuse of information. We address this process as user model interoperability. One of the major challenge to user models interoperability is handling semantic heterogeneity. The paper proposes a new approach for user model interoperability which deals with the semantic heterogeneity of user models and automates the user model exchange across applications.
Url:
DOI: 10.1007/978-3-642-05039-8_2
Affiliations:
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Notes in Computer Science</title><imprint><date>2009</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="Teeft" xml:lang="en"><term>Adaptive</term><term>Algorithm</term><term>Algorithm returns values</term><term>Application scenario</term><term>Available providers systems</term><term>Bootstrap user models</term><term>Bridge differences</term><term>Carlo</term><term>Carmagnola</term><term>Complete collection</term><term>Complete picture</term><term>Computer science</term><term>Concept rock</term><term>Conversion approach</term><term>Different concepts</term><term>Different platforms</term><term>Different systems</term><term>Different terms</term><term>Different ways</term><term>Diverse settings</term><term>Domain knowledge</term><term>Domain model</term><term>Domain 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system</term><term>Provider systems</term><term>Psychedelic rock</term><term>Query</term><term>Query language</term><term>Resource description framework</term><term>Resource user</term><term>Rock music</term><term>Same concept</term><term>Scenario</term><term>Semantic</term><term>Semantic heterogeneity</term><term>Semantic interoperability</term><term>Semantic mapping</term><term>Semantic representation</term><term>Semantic similarity</term><term>Semantics</term><term>Serql</term><term>Serql query</term><term>Share user data</term><term>Shareable</term><term>Shareable user model</term><term>Shareable user models</term><term>Similarity measure</term><term>Springer</term><term>Syntactic</term><term>System icity</term><term>Technical report</term><term>Threshold score</term><term>Tuple subject</term><term>Ubiquitous user modeling</term><term>User</term><term>User context model</term><term>User data</term><term>User information</term><term>User model</term><term>User model data</term><term>User model exchange</term><term>User model interoperability</term><term>User model interoperability process</term><term>User modeling</term><term>User modelling</term><term>User models</term><term>User models interoperability</term><term>Useradaptive systems</term><term>Users interactions</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Due to the overspread of user adaptive systems user data are collected and processed in diverse settings and from different platforms. The computational effort to extract user models is commonly repeated across applications and domains, mainly due to lack of interoperability and synchronization among user-adaptive systems. One way of achieving a complete picture of a user’s experience is to allow systems to share user data to obtain maximum leverage and reuse of information. We address this process as user model interoperability. One of the major challenge to user models interoperability is handling semantic heterogeneity. The paper proposes a new approach for user model interoperability which deals with the semantic heterogeneity of user models and automates the user model exchange across applications.</div></front></TEI><affiliations><list><country><li>Italie</li></country></list><tree><country name="Italie"><noRegion><name sortKey="Carmagnola, Francesca" sort="Carmagnola, Francesca" uniqKey="Carmagnola F" first="Francesca" last="Carmagnola">Francesca Carmagnola</name></noRegion><name sortKey="Carmagnola, Francesca" sort="Carmagnola, Francesca" uniqKey="Carmagnola F" first="Francesca" last="Carmagnola">Francesca Carmagnola</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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