An ontology-based framework for XML semantic integration

XML is becoming the standard for data interchange on the Web. However, XML and its schema languages do not express semantics but rather structure, such as nesting information. Therefore, semantically equivalent documents often present different document structures. We provide an ontology-based frame...

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Published inProceedings. International Database Engineering and Applications Symposium, 2004. IDEAS '04 pp. 217 - 226
Main Authors Cruz, I.R., Huiyong Xiao, Feihong Hsu
Format Conference Proceeding
LanguageEnglish
Published Los Alamitos CA IEEE 2004
IEEE Computer Society
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Abstract XML is becoming the standard for data interchange on the Web. However, XML and its schema languages do not express semantics but rather structure, such as nesting information. Therefore, semantically equivalent documents often present different document structures. We provide an ontology-based framework that aims to make two XML documents intemperate at the semantic level while retaining their nesting structure. In our global-as-view approach, we generate an RDF ontology for each of the participating XML documents, which preserves the nesting structure of the document. An RDF global ontology is the result of merging the individual ontologies. The global ontology unifies the query access and establishes semantic connections among the underlying individual databases. We consider two types of queries: those that are posed on the global ontology and those that are posed on any of the XML documents, in a P2P fashion. The former type is processed using query translation from an RDF query to an XML query. The latter type entails bidirectional query processing: the translation from an XML query to an RDF query followed by the translation from an RDF query to an XML query. To ensure the correctness of the answer to the query in the latter case, we introduce the concept of reversibility of the query translation.
AbstractList XML is becoming the standard for data interchange on the Web. However, XML and its schema languages do not express semantics but rather structure, such as nesting information. Therefore, semantically equivalent documents often present different document structures. We provide an ontology-based framework that aims to make two XML documents intemperate at the semantic level while retaining their nesting structure. In our global-as-view approach, we generate an RDF ontology for each of the participating XML documents, which preserves the nesting structure of the document. An RDF global ontology is the result of merging the individual ontologies. The global ontology unifies the query access and establishes semantic connections among the underlying individual databases. We consider two types of queries: those that are posed on the global ontology and those that are posed on any of the XML documents, in a P2P fashion. The former type is processed using query translation from an RDF query to an XML query. The latter type entails bidirectional query processing: the translation from an XML query to an RDF query followed by the translation from an RDF query to an XML query. To ensure the correctness of the answer to the query in the latter case, we introduce the concept of reversibility of the query translation.
Author Cruz, I.R.
Feihong Hsu
Huiyong Xiao
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Keywords Query formulation
Information integration
Peer to peer
Database query
Ontology
XML language
Distributed system
Ontology mapping
Query processing
Semantics
World wide web
Document structure
Database
Reversibility
Internet
Electronic data interchange
Information structure
Language English
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PublicationTitle Proceedings. International Database Engineering and Applications Symposium, 2004. IDEAS '04
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Snippet XML is becoming the standard for data interchange on the Web. However, XML and its schema languages do not express semantics but rather structure, such as...
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SubjectTerms Applied sciences
Computer science
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Exact sciences and technology
Information retrieval
Information systems. Data bases
Memory organisation. Data processing
Merging
Ontologies
Query processing
Resource description framework
Semantic Web
Software
XML
Title An ontology-based framework for XML semantic integration
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