TeiVM2, Main, Exploration, bibRecord, 000370

Using the right tools : Enhancing retrieval from marked-up documents

Identifieur interne : 000370 ( Main/Exploration ); précédent : 000369; suivant : 000371

Using the right tools : Enhancing retrieval from marked-up documents

Auteurs : C. Welty [États-Unis] ; Nancy Ide [États-Unis]

Source :

Computers and the humanities [ 0010-4817 ] ; 1999.

RBID : Francis:524-99-12230

Descripteurs français

Pascal (Inist)
- Intelligence artificielle, Recherche d'information, Représentation des connaissances, Structure sémantique, Classification, Concept, Description, Texte électronique, Encodage, Système Classic, SGML, TEI.
Wicri :
- topic : Intelligence artificielle, Classification.

English descriptors

KwdEn :
- Artificial Intelligence, Classification, Concept, Description, Electronic text, Semantic structure, TEI.

Abstract

We are experimenting with the representation of a DTD and associated documents (i.e., documents conformant to the DTD) in a knowledge representation (KR) system, in order to provide more sophisticated query and retrieval from TEI documents than current systems provide. We are using CLASSIC, a frame-based representation system developed at AT&T Bell Laboratories. Like many KR systems, CLASSIC enables the definition of structured concepts/frames, their organization into taxonomies, the creation and manipulation of individual instances of such concepts, and inference such as inheritance, relation transitivity, inverses, etc. In addition, CLASSIC provides for the key inferences of subsumption and classification. By representing a document as an individual instance of a hierarchy of concepts derived from the DTD, and by allowing the creation of additional user-defined concepts and relations, sophisticated query and retrieval operations can be performed. This paper describes CLASSIC and the formalism of description logic that underlies it, and demonstrates how it can be used for enhanced retrieval from richly encoded documents

Affiliations:

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000062
to stream PascalFrancis, to step Curation: 000067
to stream PascalFrancis, to step Checkpoint: 000052
to stream Main, to step Merge: 000397
to stream Main, to step Curation: 000370

Le document en format XML

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<s2>Poughkeepsie, NY 12604-0462</s2>
<s3>USA</s3>
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<country>États-Unis</country>
<placeName><region type="state">État de New York</region>
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<author><name sortKey="Ide, N" sort="Ide, N" uniqKey="Ide N" first="N." last="Ide">Nancy Ide</name>
<affiliation wicri:level="2"><inist:fA14 i1="01"><s1>Vassar College, Computer Science Department</s1>
<s2>Poughkeepsie, NY 12604-0462</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
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<country>États-Unis</country>
<placeName><region type="state">État de New York</region>
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<region type="state">État de New York</region>
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<orgName type="university" n="3">Vassar College</orgName>
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<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">524-99-12230</idno>
<date when="1999">1999</date>
<idno type="stanalyst">FRANCIS 524-99-12230 INIST</idno>
<idno type="RBID">Francis:524-99-12230</idno>
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<author><name sortKey="Ide, N" sort="Ide, N" uniqKey="Ide N" first="N." last="Ide">Nancy Ide</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Artificial Intelligence</term>
<term>Classification</term>
<term>Concept</term>
<term>Description</term>
<term>Electronic text</term>
<term>Semantic structure</term>
<term>TEI</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Intelligence artificielle</term>
<term>Recherche d'information</term>
<term>Représentation des connaissances</term>
<term>Structure sémantique</term>
<term>Classification</term>
<term>Concept</term>
<term>Description</term>
<term>Texte électronique</term>
<term>Encodage</term>
<term>Système Classic</term>
<term>SGML</term>
<term>TEI</term>
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<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Intelligence artificielle</term>
<term>Classification</term>
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<front><div type="abstract" xml:lang="en">We are experimenting with the representation of a DTD and associated documents (i.e., documents conformant to the DTD) in a knowledge representation (KR) system, in order to provide more sophisticated query and retrieval from TEI documents than current systems provide. We are using CLASSIC, a frame-based representation system developed at AT&T Bell Laboratories. Like many KR systems, CLASSIC enables the definition of structured concepts/frames, their organization into taxonomies, the creation and manipulation of individual instances of such concepts, and inference such as inheritance, relation transitivity, inverses, etc. In addition, CLASSIC provides for the key inferences of subsumption and classification. By representing a document as an individual instance of a hierarchy of concepts derived from the DTD, and by allowing the creation of additional user-defined concepts and relations, sophisticated query and retrieval operations can be performed. This paper describes CLASSIC and the formalism of description logic that underlies it, and demonstrates how it can be used for enhanced retrieval from richly encoded documents</div>
</front>
</TEI>
<affiliations><list><country><li>États-Unis</li>
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<region><li>État de New York</li>
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<settlement><li>Poughkeepsie</li>
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<orgName><li>Vassar College</li>
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<tree><country name="États-Unis"><region name="État de New York"><name sortKey="Welty, C" sort="Welty, C" uniqKey="Welty C" first="C." last="Welty">C. Welty</name>
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<name sortKey="Ide, N" sort="Ide, N" uniqKey="Ide N" first="N." last="Ide">Nancy Ide</name>
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Using the right tools : Enhancing retrieval from marked-up documents

Using the right tools : Enhancing retrieval from marked-up documents

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri