Combining declarative and procedural knowledge to automate and represent ontology mapping

  • Xu L
  • Embley D
  • Ding Y
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Ontologies on the Semantic Web are by nature decentralized. From the
body of ontology mapping approaches, we can draw a conclusionthat
an effective approach to automate ontology mapping requires both
data and metadata in application domains. Most existingapproaches
usually represent data and metadata by ad-hoc data structures, which
lack formalisms to capture the underlyingsemantics. Furthermore,
to approach semantic interoperability, there is a need to represent
mappings between ontologies withwell-defined semantics that guarantee
accurate exchange of information. To address these problems, we propose
that domainontologies attached with extraction procedures are capable
of representing knowledge required to find direct and indirectmatches
between ontologies. And mapping ontologies attached with query procedures
not only support equivalent inferences andcomputations on equivalent
concepts and relations but also improve query performance by applying
query procedures to derivetarget-specific views. We conclude that
a combination of declarative and procedural representation based
on ontologies favorsthe analysis and implementation for ontology
mapping that promises accurate and efficient semantic interoperability.

Author-supplied keywords

  • research.integration

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  • Li Xu

  • David W Embley

  • Yihong Ding

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