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MuMIe: Multi-level Metadata Mapping System.

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Title: MuMIe: Multi-level Metadata Mapping System.
Authors: Amir, Samir1 samir.amir@lifl.fr, Bilasco, Ioan Marius1 marius.bilasco@lifl.fr, Djeraba, Chabane1 chabane.djeraba@lifl.fr
Source: Journal of Multimedia. Jun2011, Vol. 6 Issue 3, p225-235. 11p.
Subjects: Metadata mapping, Multimedia systems, Internetworking, Matching theory, Programming languages, Data structures, Semantics
Abstract: The recent growth of multimedia requires an extensive use of metadata for their management. However, a uniform access to metadata is necessary in order to take advantage of them. In this context, several techniques for achieving metadata interoperability have been developed. Most of these techniques focus on matching schemas defined by using one schema description language. The few existing matching systems that support schemas from different languages present some limitations, especially when using semantic and structural information. In this paper we present a new integration system supporting schemas from different description languages. Moreover, the proposed matching process makes use of several types of information (linguistic, semantic and structural) in a manner that increases the matching accuracy. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Multimedia is the property of Academy Publisher and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="AR" term="%22Amir%2C+Samir%22">Amir, Samir</searchLink><relatesTo>1</relatesTo><i> samir.amir@lifl.fr</i><br /><searchLink fieldCode="AR" term="%22Bilasco%2C+Ioan+Marius%22">Bilasco, Ioan Marius</searchLink><relatesTo>1</relatesTo><i> marius.bilasco@lifl.fr</i><br /><searchLink fieldCode="AR" term="%22Djeraba%2C+Chabane%22">Djeraba, Chabane</searchLink><relatesTo>1</relatesTo><i> chabane.djeraba@lifl.fr</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Multimedia%22">Journal of Multimedia</searchLink>. Jun2011, Vol. 6 Issue 3, p225-235. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Metadata+mapping%22">Metadata mapping</searchLink><br /><searchLink fieldCode="DE" term="%22Multimedia+systems%22">Multimedia systems</searchLink><br /><searchLink fieldCode="DE" term="%22Internetworking%22">Internetworking</searchLink><br /><searchLink fieldCode="DE" term="%22Matching+theory%22">Matching theory</searchLink><br /><searchLink fieldCode="DE" term="%22Programming+languages%22">Programming languages</searchLink><br /><searchLink fieldCode="DE" term="%22Data+structures%22">Data structures</searchLink><br /><searchLink fieldCode="DE" term="%22Semantics%22">Semantics</searchLink>
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  Data: The recent growth of multimedia requires an extensive use of metadata for their management. However, a uniform access to metadata is necessary in order to take advantage of them. In this context, several techniques for achieving metadata interoperability have been developed. Most of these techniques focus on matching schemas defined by using one schema description language. The few existing matching systems that support schemas from different languages present some limitations, especially when using semantic and structural information. In this paper we present a new integration system supporting schemas from different description languages. Moreover, the proposed matching process makes use of several types of information (linguistic, semantic and structural) in a manner that increases the matching accuracy. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Multimedia is the property of Academy Publisher and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.4304/jmm.6.3.225-235
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        Type: general
      – SubjectFull: Multimedia systems
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      – SubjectFull: Internetworking
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      – SubjectFull: Matching theory
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              Text: Jun2011
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