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5 CONCLUSIONS
The harmonization of terminologies used in
industrial standards has been widely understood to
be necessary for better interoperability of industrial
information systems. Partial automation of the
comparison and matching phases of the
harmonization process is considered necessary, in
order to reduce the workload of human experts and
to speed up the process. However, advanced
ontology matching methods are not directly
applicable, because terminology dictionaries are not
true ontologies and may differ greatly in their
taxonomy structure and lexical content. We have
developed a lightweight element level matching
approach to address this problem. It is based on
general concept name structuring rules defined in
terminology work standards. This approach is
applicable, when similar naming conventions have
been applied.
This ElemMatcher approach was applied to an
industrial terminology matching case in the first
phase of the PSK - ISO 15926-4 harmonization
process. The matching results indicate high
matching precision for the equality alignment set
and good precision of the other alignment sets.
Additional experiments using advanced structural
and extrinsic methods that exploit only general
purpose dictionaries showed that no advantage was
gained in this case study of industrial terminology
standards harmonization.
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