A Model for Querying Annotated Documents
Identifieur interne : 001F87 ( Main/Exploration ); précédent : 001F86; suivant : 001F88A Model for Querying Annotated Documents
Auteurs : Frédérique Laforest [France] ; Anne Tchounikine [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Base de données.
English descriptors
- KwdEn :
Abstract
Abstract: Most of Information Retrieval models for documents are intended for SGML-like structured documents. In the context of medical informatics, the Patient Record document needs a looser structuration process as an a priori structure can hardly be defined. Thus we propose an authoring tool that allows to annotate embedded information, i.e. to give them a context, with qualifiers that are stored in a thesaurus rather than in SGML-like DTD. The retrieval process in the Patient Records collection takes into account the flexibility of the qualifying process while reformulating the queries (synonymy, generalization and specialization relationships between qualifiers).
Url:
DOI: 10.1007/3-540-48252-0_5
Affiliations:
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Le document en format XML
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Einstein, 69621, Villeurbanne Cedex</wicri:regionArea><placeName><region type="region" nuts="2">Auvergne-Rhône-Alpes</region><region type="old region" nuts="2">Rhône-Alpes</region><settlement type="city">Villeurbanne</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="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Database</term><term>Database query</term><term>Information retrieval</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Base donnée</term><term>Interrogation base donnée</term><term>Recherche information</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Base de données</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Most of Information Retrieval models for documents are intended for SGML-like structured documents. In the context of medical informatics, the Patient Record document needs a looser structuration process as an a priori structure can hardly be defined. Thus we propose an authoring tool that allows to annotate embedded information, i.e. to give them a context, with qualifiers that are stored in a thesaurus rather than in SGML-like DTD. The retrieval process in the Patient Records collection takes into account the flexibility of the qualifying process while reformulating the queries (synonymy, generalization and specialization relationships between qualifiers).</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Rhône-Alpes</li></region><settlement><li>Villeurbanne</li></settlement></list><tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Laforest, Frederique" sort="Laforest, Frederique" uniqKey="Laforest F" first="Frédérique" last="Laforest">Frédérique Laforest</name></region><name sortKey="Laforest, Frederique" sort="Laforest, Frederique" uniqKey="Laforest F" first="Frédérique" last="Laforest">Frédérique Laforest</name><name sortKey="Tchounikine, Anne" sort="Tchounikine, Anne" uniqKey="Tchounikine A" first="Anne" last="Tchounikine">Anne Tchounikine</name><name sortKey="Tchounikine, Anne" sort="Tchounikine, Anne" uniqKey="Tchounikine A" first="Anne" last="Tchounikine">Anne Tchounikine</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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