A Context-Aware Preference Model for Database Querying in an Ambient Intelligent Environment
Identifieur interne : 002200 ( Main/Merge ); précédent : 002199; suivant : 002201A Context-Aware Preference Model for Database Querying in an Ambient Intelligent Environment
Auteurs : Arthur H. Van Bunningen [Pays-Bas] ; Ling Feng [Pays-Bas] ; Peter M. G. Apers [Pays-Bas]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: Users’ preferences have traditionally been exploited in query personalization to better serve their information needs. With the emerging ubiquitous computing technologies, users will be situated in an Ambient Intelligent (AmI) environment, where users’ database access will not occur at a single location in a single context as in the traditional stationary desktop computing, but rather span a multitude of contexts like office, home, hotel, plane, etc. To deliver personalized query answering in this environment, the need for context-aware query preferences arises accordingly. In this paper, we propose a knowledge-based context-aware query preference model, which can cater for both pull and push queries. We analyze requirements and challenges that AmI poses upon such a model and discuss the interpretation of the model in the domain of relational databases. We implant the model on top of a traditional DBMS to demonstrate the applicability and feasibility of our approach.
Url:
DOI: 10.1007/11827405_4
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 004785
- to stream Istex, to step Curation: 004785
- to stream Istex, to step Checkpoint: 001759
Links to Exploration step
ISTEX:523389A98FAF5F5528C31F2DF47D20DA63126090Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Context-Aware Preference Model for Database Querying in an Ambient Intelligent Environment</title><author><name sortKey="Van Bunningen, Arthur H" sort="Van Bunningen, Arthur H" uniqKey="Van Bunningen A" first="Arthur H." last="Van Bunningen">Arthur H. Van Bunningen</name></author><author><name sortKey="Feng, Ling" sort="Feng, Ling" uniqKey="Feng L" first="Ling" last="Feng">Ling Feng</name></author><author><name sortKey="Apers, Peter M G" sort="Apers, Peter M G" uniqKey="Apers P" first="Peter M. G." last="Apers">Peter M. G. Apers</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:523389A98FAF5F5528C31F2DF47D20DA63126090</idno><date when="2006" year="2006">2006</date><idno type="doi">10.1007/11827405_4</idno><idno type="url">https://api.istex.fr/document/523389A98FAF5F5528C31F2DF47D20DA63126090/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">004785</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">004785</idno><idno type="wicri:Area/Istex/Curation">004785</idno><idno type="wicri:Area/Istex/Checkpoint">001759</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">001759</idno><idno type="wicri:doubleKey">0302-9743:2006:Van Bunningen A:a:context:aware</idno><idno type="wicri:Area/Main/Merge">002200</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A Context-Aware Preference Model for Database Querying in an Ambient Intelligent Environment</title><author><name sortKey="Van Bunningen, Arthur H" sort="Van Bunningen, Arthur H" uniqKey="Van Bunningen A" first="Arthur H." last="Van Bunningen">Arthur H. Van Bunningen</name><affiliation wicri:level="4"><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Centre for Telematics and Information Technology, University of Twente, P.O. Box 217, 7500 AE, Enschede</wicri:regionArea><orgName type="university">Université de Twente</orgName><placeName><settlement type="city">Enschede</settlement><region nuts="2">Overijssel</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Pays-Bas</country></affiliation></author><author><name sortKey="Feng, Ling" sort="Feng, Ling" uniqKey="Feng L" first="Ling" last="Feng">Ling Feng</name><affiliation wicri:level="4"><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Centre for Telematics and Information Technology, University of Twente, P.O. Box 217, 7500 AE, Enschede</wicri:regionArea><orgName type="university">Université de Twente</orgName><placeName><settlement type="city">Enschede</settlement><region nuts="2">Overijssel</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Pays-Bas</country></affiliation></author><author><name sortKey="Apers, Peter M G" sort="Apers, Peter M G" uniqKey="Apers P" first="Peter M. G." last="Apers">Peter M. G. Apers</name><affiliation wicri:level="4"><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Centre for Telematics and Information Technology, University of Twente, P.O. Box 217, 7500 AE, Enschede</wicri:regionArea><orgName type="university">Université de Twente</orgName><placeName><settlement type="city">Enschede</settlement><region nuts="2">Overijssel</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Pays-Bas</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2006</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">523389A98FAF5F5528C31F2DF47D20DA63126090</idno><idno type="DOI">10.1007/11827405_4</idno><idno type="ChapterID">4</idno><idno type="ChapterID">Chap4</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Users’ preferences have traditionally been exploited in query personalization to better serve their information needs. With the emerging ubiquitous computing technologies, users will be situated in an Ambient Intelligent (AmI) environment, where users’ database access will not occur at a single location in a single context as in the traditional stationary desktop computing, but rather span a multitude of contexts like office, home, hotel, plane, etc. To deliver personalized query answering in this environment, the need for context-aware query preferences arises accordingly. In this paper, we propose a knowledge-based context-aware query preference model, which can cater for both pull and push queries. We analyze requirements and challenges that AmI poses upon such a model and discuss the interpretation of the model in the domain of relational databases. We implant the model on top of a traditional DBMS to demonstrate the applicability and feasibility of our approach.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/TelematiV1/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002200 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 002200 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= TelematiV1
|flux= Main
|étape= Merge
|type= RBID
|clé= ISTEX:523389A98FAF5F5528C31F2DF47D20DA63126090
|texte= A Context-Aware Preference Model for Database Querying in an Ambient Intelligent Environment
}}
| This area was generated with Dilib version V0.6.31. |  |