An Approach to the Management of Multiple Aligned Multilingual Ontologies for a Geospatial Earth Observation System
Identifieur interne : 001319 ( Istex/Corpus ); précédent : 001318; suivant : 001320An Approach to the Management of Multiple Aligned Multilingual Ontologies for a Geospatial Earth Observation System
Auteurs : Kristin Stock ; Claudia CialoneSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: Ontologies are widely used, within and outside the geospatial context to support semantic search that is capable of returning suitable resources. Some large, heterogeneous earth observation systems that are currently being developed in a multi-thematic environment require the support of multiple ontologies. Furthermore, some of the systems under current development operate in a multi-lingual environment, and it is desirable that multiple languages be supported by the systems themselves. This paper proposes a solution to this set of requirements using an architecture containing multiple and multilingual ontologies. Such ontologies are required to be related and the architecture described in this work, which adopts a spatial data infrastructure based on open geospatial standards, employs an algorithm for semantic search across the multiple multilingual ontologies aligned using the W3C Simple Knowledge Organization System (SKOS). It also provides an approach that is extendable by the addition of further ontologies if they are required for particular thematic purposes. A number of issues arose during phases of implementation, but the broad approach proved effective for supporting a large, heterogeneous, multilingual earth observation system.
Url:
DOI: 10.1007/978-3-642-20630-6_4
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<ChapterTitle Language="En">An Approach to the Management of Multiple Aligned Multilingual Ontologies for a Geospatial Earth Observation System</ChapterTitle>
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<Para>Ontologies are widely used, within and outside the geospatial context to support semantic search that is capable of returning suitable resources. Some large, heterogeneous earth observation systems that are currently being developed in a multi-thematic environment require the support of multiple ontologies. Furthermore, some of the systems under current development operate in a multi-lingual environment, and it is desirable that multiple languages be supported by the systems themselves.</Para>
<Para>This paper proposes a solution to this set of requirements using an architecture containing multiple and multilingual ontologies. Such ontologies are required to be related and the architecture described in this work, which adopts a spatial data infrastructure based on open geospatial standards, employs an algorithm for semantic search across the multiple multilingual ontologies aligned using the W3C Simple Knowledge Organization System (SKOS). It also provides an approach that is extendable by the addition of further ontologies if they are required for particular thematic purposes. A number of issues arose during phases of implementation, but the broad approach proved effective for supporting a large, heterogeneous, multilingual earth observation system.</Para>
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<Keyword>multilingual ontologies</Keyword>
<Keyword>semantic alignment</Keyword>
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<Keyword>geospatial systems</Keyword>
<Keyword>interoperability</Keyword>
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<abstract lang="en">Abstract: Ontologies are widely used, within and outside the geospatial context to support semantic search that is capable of returning suitable resources. Some large, heterogeneous earth observation systems that are currently being developed in a multi-thematic environment require the support of multiple ontologies. Furthermore, some of the systems under current development operate in a multi-lingual environment, and it is desirable that multiple languages be supported by the systems themselves. This paper proposes a solution to this set of requirements using an architecture containing multiple and multilingual ontologies. Such ontologies are required to be related and the architecture described in this work, which adopts a spatial data infrastructure based on open geospatial standards, employs an algorithm for semantic search across the multiple multilingual ontologies aligned using the W3C Simple Knowledge Organization System (SKOS). It also provides an approach that is extendable by the addition of further ontologies if they are required for particular thematic purposes. A number of issues arose during phases of implementation, but the broad approach proved effective for supporting a large, heterogeneous, multilingual earth observation system.</abstract>
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