Formalized Conflicts Detection Based on the Analysis of Multiple Emails: An Approach Combining Statistics and Ontologies
Identifieur interne : 003A32 ( Main/Merge ); précédent : 003A31; suivant : 003A33Formalized Conflicts Detection Based on the Analysis of Multiple Emails: An Approach Combining Statistics and Ontologies
Auteurs : Chahnez Zakaria [France] ; Olivier Curé [France] ; Gabriella Salzano [France] ; Kamel Smaïli [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: In Computer Supported Cooperative Work (CSCW), it is crucial for project leaders to detect conflicting situations as early as possible. Generally, this task is performed manually by studying a set of documents exchanged between team members. In this paper, we propose a full-fledged automatic solution that identifies documents, subjects and actors involved in relational conflicts. Our approach detects conflicts in emails, probably the most popular type of documents in CSCW, but the methods used can handle other text-based documents. These methods rely on the combination of statistical and ontological operations. The proposed solution is decomposed in several steps: (i) we enrich a simple negative emotion ontology with terms occuring in the corpus of emails, (ii) we categorize each conflicting email according to the concepts of this ontology and (iii) we identify emails, subjects and team members involved in conflicting emails using possibilistic description logic and a set of proposed measures. Each of these steps are evaluated and validated on concrete examples. Moreover, this approach’s framework is generic and can be easily adapted to domains other than conflicts, e.g. security issues, and extended with operations making use of our proposed set of measures.
Url:
DOI: 10.1007/978-3-642-05148-7_9
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 001934
- to stream Istex, to step Curation: 001915
- to stream Istex, to step Checkpoint: 000A61
Links to Exploration step
ISTEX:6CC6F04CEEFA3E296E046EC5868109134865D4F4Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Formalized Conflicts Detection Based on the Analysis of Multiple Emails: An Approach Combining Statistics and Ontologies</title><author><name sortKey="Zakaria, Chahnez" sort="Zakaria, Chahnez" uniqKey="Zakaria C" first="Chahnez" last="Zakaria">Chahnez Zakaria</name></author><author><name sortKey="Cure, Olivier" sort="Cure, Olivier" uniqKey="Cure O" first="Olivier" last="Curé">Olivier Curé</name></author><author><name sortKey="Salzano, Gabriella" sort="Salzano, Gabriella" uniqKey="Salzano G" first="Gabriella" last="Salzano">Gabriella Salzano</name></author><author><name sortKey="Smaili, Kamel" sort="Smaili, Kamel" uniqKey="Smaili K" first="Kamel" last="Smaïli">Kamel Smaïli</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:6CC6F04CEEFA3E296E046EC5868109134865D4F4</idno><date when="2009" year="2009">2009</date><idno type="doi">10.1007/978-3-642-05148-7_9</idno><idno type="url">https://api.istex.fr/ark:/67375/HCB-7WZMHFJQ-L/fulltext.pdf</idno><idno type="wicri:Area/Istex/Corpus">001934</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001934</idno><idno type="wicri:Area/Istex/Curation">001915</idno><idno type="wicri:Area/Istex/Checkpoint">000A61</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000A61</idno><idno type="wicri:doubleKey">0302-9743:2009:Zakaria C:formalized:conflicts:detection</idno><idno type="wicri:Area/Main/Merge">003A32</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Formalized Conflicts Detection Based on the Analysis of Multiple Emails: An Approach Combining Statistics and Ontologies</title><author><name sortKey="Zakaria, Chahnez" sort="Zakaria, Chahnez" uniqKey="Zakaria C" first="Chahnez" last="Zakaria">Chahnez Zakaria</name><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>Université Paris-Est, IGM Terre Digitale, Marne-la-Vallée</wicri:regionArea><wicri:noRegion>Marne-la-Vallée</wicri:noRegion><wicri:noRegion>Marne-la-Vallée</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></affiliation></author><author><name sortKey="Cure, Olivier" sort="Cure, Olivier" uniqKey="Cure O" first="Olivier" last="Curé">Olivier Curé</name><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>Université Paris-Est, IGM Terre Digitale, Marne-la-Vallée</wicri:regionArea><wicri:noRegion>Marne-la-Vallée</wicri:noRegion><wicri:noRegion>Marne-la-Vallée</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></affiliation></author><author><name sortKey="Salzano, Gabriella" sort="Salzano, Gabriella" uniqKey="Salzano G" first="Gabriella" last="Salzano">Gabriella Salzano</name><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>Université Paris-Est, IGM Terre Digitale, Marne-la-Vallée</wicri:regionArea><wicri:noRegion>Marne-la-Vallée</wicri:noRegion><wicri:noRegion>Marne-la-Vallée</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></affiliation></author><author><name sortKey="Smaili, Kamel" sort="Smaili, Kamel" uniqKey="Smaili K" first="Kamel" last="Smaïli">Kamel Smaïli</name><affiliation wicri:level="3"><country xml:lang="fr">France</country><wicri:regionArea>Loria, Campus Scientifique, BP 239, 54506, Vandoeuvre Lès-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></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: In Computer Supported Cooperative Work (CSCW), it is crucial for project leaders to detect conflicting situations as early as possible. Generally, this task is performed manually by studying a set of documents exchanged between team members. In this paper, we propose a full-fledged automatic solution that identifies documents, subjects and actors involved in relational conflicts. Our approach detects conflicts in emails, probably the most popular type of documents in CSCW, but the methods used can handle other text-based documents. These methods rely on the combination of statistical and ontological operations. The proposed solution is decomposed in several steps: (i) we enrich a simple negative emotion ontology with terms occuring in the corpus of emails, (ii) we categorize each conflicting email according to the concepts of this ontology and (iii) we identify emails, subjects and team members involved in conflicting emails using possibilistic description logic and a set of proposed measures. Each of these steps are evaluated and validated on concrete examples. Moreover, this approach’s framework is generic and can be easily adapted to domains other than conflicts, e.g. security issues, and extended with operations making use of our proposed set of measures.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 003A32 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 003A32 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Lorraine
|area= InforLorV4
|flux= Main
|étape= Merge
|type= RBID
|clé= ISTEX:6CC6F04CEEFA3E296E046EC5868109134865D4F4
|texte= Formalized Conflicts Detection Based on the Analysis of Multiple Emails: An Approach Combining Statistics and Ontologies
}}
| This area was generated with Dilib version V0.6.33. |  |