Dynamic, Behavior-Based User Profiling Using Semantic Web Technologies in a Big Data Context
Identifieur interne : 001597 ( Main/Exploration ); précédent : 001596; suivant : 001598Dynamic, Behavior-Based User Profiling Using Semantic Web Technologies in a Big Data Context
Auteurs : Anett Hoppe [France] ; Ana Roxin [France] ; Christophe Nicolle [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: The success of shaping the e-society is crucially dependent on how well technology adapts to the needs of each single user. A thorough understanding of one’s personality, interests, and social connections facilitate the integration of ICT solutions into one’s everyday life. The MindMinings project aims to build an advanced user profile, based on the automatic processing of a user’s navigation traces on the Web. Given the various needs underpinned by our goal (e.g. integration of heterogeneous sources and automatic content extraction), we have selected Semantic Web technologies for their capacity to deliver machine-processable information. Indeed, we have to deal with web-based information known to be highly heterogeneous. Using descriptive languages such as OWL for managing the information contained in Web documents, we allow an automatic analysis, processing and exploitation of the related knowledge. Moreover, we use semantic technology in addition to machine learning techniques, in order to build a very expressive user profile model, including not only isolated “drops” of information, but inter-connected and machine-interpretable information. All developed methods are applied to a concrete industrial need: the analysis of user navigation on the Web to deduct patterns for content recommendation.
Url:
DOI: 10.1007/978-3-642-41033-8_46
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 002278
- to stream Istex, to step Curation: 002247
- to stream Istex, to step Checkpoint: 000223
- to stream Main, to step Merge: 001609
- to stream Main, to step Curation: 001597
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Dynamic, Behavior-Based User Profiling Using Semantic Web Technologies in a Big Data Context</title>
<author><name sortKey="Hoppe, Anett" sort="Hoppe, Anett" uniqKey="Hoppe A" first="Anett" last="Hoppe">Anett Hoppe</name>
</author>
<author><name sortKey="Roxin, Ana" sort="Roxin, Ana" uniqKey="Roxin A" first="Ana" last="Roxin">Ana Roxin</name>
</author>
<author><name sortKey="Nicolle, Christophe" sort="Nicolle, Christophe" uniqKey="Nicolle C" first="Christophe" last="Nicolle">Christophe Nicolle</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:94AC3A2C19104824CA02A3FCAC5D96C920394A0D</idno>
<date when="2013" year="2013">2013</date>
<idno type="doi">10.1007/978-3-642-41033-8_46</idno>
<idno type="url">https://api.istex.fr/ark:/67375/HCB-LKP2Q219-9/fulltext.pdf</idno>
<idno type="wicri:Area/Istex/Corpus">002278</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">002278</idno>
<idno type="wicri:Area/Istex/Curation">002247</idno>
<idno type="wicri:Area/Istex/Checkpoint">000223</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000223</idno>
<idno type="wicri:doubleKey">0302-9743:2013:Hoppe A:dynamic:behavior:based</idno>
<idno type="wicri:Area/Main/Merge">001609</idno>
<idno type="wicri:Area/Main/Curation">001597</idno>
<idno type="wicri:Area/Main/Exploration">001597</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Dynamic, Behavior-Based User Profiling Using Semantic Web Technologies in a Big Data Context</title>
<author><name sortKey="Hoppe, Anett" sort="Hoppe, Anett" uniqKey="Hoppe A" first="Anett" last="Hoppe">Anett Hoppe</name>
<affiliation wicri:level="4"><country xml:lang="fr">France</country>
<wicri:regionArea>CheckSem Group, Laboratoire Electronique, Informatique et Image, Université de Bourgogne, Dijon</wicri:regionArea>
<placeName><region type="region">Bourgogne-Franche-Comté</region>
<region type="old region">Bourgogne</region>
<settlement type="city">Dijon</settlement>
</placeName>
<orgName type="university">Université de Bourgogne</orgName>
</affiliation>
</author>
<author><name sortKey="Roxin, Ana" sort="Roxin, Ana" uniqKey="Roxin A" first="Ana" last="Roxin">Ana Roxin</name>
<affiliation wicri:level="4"><country xml:lang="fr">France</country>
<wicri:regionArea>CheckSem Group, Laboratoire Electronique, Informatique et Image, Université de Bourgogne, Dijon</wicri:regionArea>
<placeName><region type="region">Bourgogne-Franche-Comté</region>
<region type="old region">Bourgogne</region>
<settlement type="city">Dijon</settlement>
</placeName>
<orgName type="university">Université de Bourgogne</orgName>
</affiliation>
</author>
<author><name sortKey="Nicolle, Christophe" sort="Nicolle, Christophe" uniqKey="Nicolle C" first="Christophe" last="Nicolle">Christophe Nicolle</name>
<affiliation wicri:level="4"><country xml:lang="fr">France</country>
<wicri:regionArea>CheckSem Group, Laboratoire Electronique, Informatique et Image, Université de Bourgogne, Dijon</wicri:regionArea>
<placeName><region type="region">Bourgogne-Franche-Comté</region>
<region type="old region">Bourgogne</region>
<settlement type="city">Dijon</settlement>
</placeName>
<orgName type="university">Université de Bourgogne</orgName>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="s" type="main" xml:lang="en">Lecture Notes in Computer Science</title>
<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></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Abstract: The success of shaping the e-society is crucially dependent on how well technology adapts to the needs of each single user. A thorough understanding of one’s personality, interests, and social connections facilitate the integration of ICT solutions into one’s everyday life. The MindMinings project aims to build an advanced user profile, based on the automatic processing of a user’s navigation traces on the Web. Given the various needs underpinned by our goal (e.g. integration of heterogeneous sources and automatic content extraction), we have selected Semantic Web technologies for their capacity to deliver machine-processable information. Indeed, we have to deal with web-based information known to be highly heterogeneous. Using descriptive languages such as OWL for managing the information contained in Web documents, we allow an automatic analysis, processing and exploitation of the related knowledge. Moreover, we use semantic technology in addition to machine learning techniques, in order to build a very expressive user profile model, including not only isolated “drops” of information, but inter-connected and machine-interpretable information. All developed methods are applied to a concrete industrial need: the analysis of user navigation on the Web to deduct patterns for content recommendation.</div>
</front>
</TEI>
<affiliations><list><country><li>France</li>
</country>
<region><li>Bourgogne</li>
<li>Bourgogne-Franche-Comté</li>
</region>
<settlement><li>Dijon</li>
</settlement>
<orgName><li>Université de Bourgogne</li>
</orgName>
</list>
<tree><country name="France"><region name="Bourgogne-Franche-Comté"><name sortKey="Hoppe, Anett" sort="Hoppe, Anett" uniqKey="Hoppe A" first="Anett" last="Hoppe">Anett Hoppe</name>
</region>
<name sortKey="Nicolle, Christophe" sort="Nicolle, Christophe" uniqKey="Nicolle C" first="Christophe" last="Nicolle">Christophe Nicolle</name>
<name sortKey="Roxin, Ana" sort="Roxin, Ana" uniqKey="Roxin A" first="Ana" last="Roxin">Ana Roxin</name>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001597 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001597 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Lorraine |area= InforLorV4 |flux= Main |étape= Exploration |type= RBID |clé= ISTEX:94AC3A2C19104824CA02A3FCAC5D96C920394A0D |texte= Dynamic, Behavior-Based User Profiling Using Semantic Web Technologies in a Big Data Context }}
This area was generated with Dilib version V0.6.33. |