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Data interoperability: in practice an interoperable solution or a solution that provides interoperability needs to deal with heterogeneous data formats.
Data interoperability is another important criterion.
The data interoperability problem emerges whenever two systems exchange data.
Ontology-based applications hold promise in improving spatial data interoperability.
Another example of the movement toward data interoperability is the ORCID ID.
Existing regulations, too, are contributing to a lag in data interoperability.
Anyway, there is XML that addresses the problem of data interoperability.
Above we highlighted a number of sources of fuzziness that may affect automatic data interoperability.
These systems also demand communication and data interoperability among sensor devices [35].
In other words, data interoperability plays a fundamental role in all steps regarding Urban Energy Modelling.
These cases show that the problem of data interoperability is deeper than format mismatch problem.
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