Combining Artificial Intelligence and Databases for Data Integration
Identifieur interne : 001E67 ( Main/Exploration ); précédent : 001E66; suivant : 001E68Combining Artificial Intelligence and Databases for Data Integration
Auteurs : Y. Levy [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1999.
Abstract
Abstract: Data integration is a problem at the intersection of the fields of Artificial Intelligence and Database Systems. The goal of a data integration system is to provide a uniform interface to a multitude of data sources, whether they are within one enterprise or on the World-Wide Web. The key challenges in data integration arise because the data sources being integrated have been designed independently for autonomous applications, and their contents are related in subtle ways. As a result, a data integration system requires rich formalisms for describing contents of data sources and relating between contents of different sources. This paper discusses works aimed at applying techniques from Artificial Intelligence to the problem of data integration. In addition to employing Knowledge Representation techniques for describing contents of information sources, projects have also made use of Machine Learning techniques for extracting data from sources and planning techniques for query optimization. The paper also outlines future opportunities for applying AI techniques in the context of data integration.
Url:
DOI: 10.1007/3-540-48317-9_10
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 002A47
- to stream Istex, to step Curation: 002839
- to stream Istex, to step Checkpoint: 001418
- to stream Main, to step Merge: 001F76
- to stream Main, to step Curation: 001E67
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct:series"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Combining Artificial Intelligence and Databases for Data Integration</title>
<author><name sortKey="Levy, Y" sort="Levy, Y" uniqKey="Levy Y" first="Y." last="Levy">Y. Levy</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:C7AE78D1F18229CC9F87D2A5F30EBD40E9009D25</idno>
<date when="1999" year="1999">1999</date>
<idno type="doi">10.1007/3-540-48317-9_10</idno>
<idno type="url">https://api.istex.fr/document/C7AE78D1F18229CC9F87D2A5F30EBD40E9009D25/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">002A47</idno>
<idno type="wicri:Area/Istex/Curation">002839</idno>
<idno type="wicri:Area/Istex/Checkpoint">001418</idno>
<idno type="wicri:doubleKey">0302-9743:1999:Levy Y:combining:artificial:intelligence</idno>
<idno type="wicri:Area/Main/Merge">001F76</idno>
<idno type="wicri:Area/Main/Curation">001E67</idno>
<idno type="wicri:Area/Main/Exploration">001E67</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Combining Artificial Intelligence and Databases for Data Integration</title>
<author><name sortKey="Levy, Y" sort="Levy, Y" uniqKey="Levy Y" first="Y." last="Levy">Y. Levy</name>
<affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Computer Science and Engineering, University of Washington, 98195, Seattle, Washington</wicri:regionArea>
<placeName><region type="state">Washington (État)</region>
<settlement type="city">Seattle</settlement>
</placeName>
<orgName type="university">Université de Washington</orgName>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="s">Lecture Notes in Computer Science</title>
<title level="s" type="sub">Lecture Notes in Artificial Intelligence</title>
<imprint><date>1999</date>
</imprint>
<idno type="ISSN">0302-9743</idno>
<idno type="ISSN">0302-9743</idno>
</series>
<idno type="istex">C7AE78D1F18229CC9F87D2A5F30EBD40E9009D25</idno>
<idno type="DOI">10.1007/3-540-48317-9_10</idno>
<idno type="ChapterID">10</idno>
<idno type="ChapterID">Chap10</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: Data integration is a problem at the intersection of the fields of Artificial Intelligence and Database Systems. The goal of a data integration system is to provide a uniform interface to a multitude of data sources, whether they are within one enterprise or on the World-Wide Web. The key challenges in data integration arise because the data sources being integrated have been designed independently for autonomous applications, and their contents are related in subtle ways. As a result, a data integration system requires rich formalisms for describing contents of data sources and relating between contents of different sources. This paper discusses works aimed at applying techniques from Artificial Intelligence to the problem of data integration. In addition to employing Knowledge Representation techniques for describing contents of information sources, projects have also made use of Machine Learning techniques for extracting data from sources and planning techniques for query optimization. The paper also outlines future opportunities for applying AI techniques in the context of data integration.</div>
</front>
</TEI>
<affiliations><list><country><li>États-Unis</li>
</country>
<region><li>Washington (État)</li>
</region>
<settlement><li>Seattle</li>
</settlement>
<orgName><li>Université de Washington</li>
</orgName>
</list>
<tree><country name="États-Unis"><region name="Washington (État)"><name sortKey="Levy, Y" sort="Levy, Y" uniqKey="Levy Y" first="Y." last="Levy">Y. Levy</name>
</region>
<name sortKey="Levy, Y" sort="Levy, Y" uniqKey="Levy Y" first="Y." last="Levy">Y. Levy</name>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001E67 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001E67 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= OcrV1 |flux= Main |étape= Exploration |type= RBID |clé= ISTEX:C7AE78D1F18229CC9F87D2A5F30EBD40E9009D25 |texte= Combining Artificial Intelligence and Databases for Data Integration }}
This area was generated with Dilib version V0.6.32. |