InforLorV4, Main, Merge, bibRecord, 003544

Evaluation of Graph Matching Measures for Documents Retrieval

Identifieur interne : 003544 ( Main/Merge ); précédent : 003543; suivant : 003545

Evaluation of Graph Matching Measures for Documents Retrieval

Auteurs : Salim Jouili [France] ; Salvatore Tabbone [France] ; Ernest Valveny [Espagne]

Source :

RBID : Hal:inria-00395908

English descriptors

mix :
- Graph matching, Graph retrieval, Performance evaluation, Structural representation.

Abstract

In this paper we evaluate four graph distance measures. The analysis is performed for document retrieval tasks. For this aim, different kind of documents are used which include line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each graph distance measure depends on the kind of data and the graph representation technique.

Url:

https://hal.inria.fr/inria-00395908

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

to stream Hal, to step Corpus: 002046
to stream Hal, to step Curation: 002046
to stream Hal, to step Checkpoint: 002B21

Links to Exploration step

Hal:inria-00395908

Le document en format XML

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<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
<placeName><settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Institut national polytechnique de Lorraine</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
</affiliation>
</author>
<author><name sortKey="Valveny, Ernest" sort="Valveny, Ernest" uniqKey="Valveny E" first="Ernest" last="Valveny">Ernest Valveny</name>
<affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-19095" status="VALID"><orgName>Computer Vision Center (Centre de visio per computador)</orgName>
<orgName type="acronym">CVC</orgName>
<desc><address><addrLine>Edifici O - Campus UAB - 08193 Bellaterra (Cerdanyola) - Barcelona, Spain</addrLine>
<country key="ES"></country>
</address>
<ref type="url">http://www.cvc.uab.es/</ref>
</desc>
<listRelation><relation active="#struct-98227" type="direct"></relation>
</listRelation>
<tutelles><tutelle active="#struct-98227" type="direct"><org type="institution" xml:id="struct-98227" status="VALID"><orgName>Universitat Autònoma de Barcelona [Barcelona]</orgName>
<orgName type="acronym">UAB</orgName>
<desc><address><addrLine>UAB Campus 08193 Bellaterra Barcelona</addrLine>
<country key="ES"></country>
</address>
<ref type="url">http://www.uab.es/english/</ref>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>Espagne</country>
</affiliation>
</author>
</analytic>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Graph matching</term>
<term>Graph retrieval</term>
<term>Performance evaluation</term>
<term>Structural representation</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">In this paper we evaluate four graph distance measures. The analysis is performed for document retrieval tasks. For this aim, different kind of documents are used which include line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each graph distance measure depends on the kind of data and the graph representation technique.</div>
</front>
</TEI>
</record>

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Evaluation of Graph Matching Measures for Documents Retrieval

Evaluation of Graph Matching Measures for Documents Retrieval

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