Peter McBrien focuses on data modeling and integration.
Part of the AutoMed project on database integration. Recent work includes temporal constraints and P2P exchange of heterogeneous data.
Databases: Tools and Data for Teaching and Research: Useful collection of datasets and other materials on databases, data modeling and integration.
I first encountered Peter’s research in Comparing and Transforming Between Data Models via an Intermediate Hypergraph Data Model.
From a topic map perspective, the authors assumed the identities of the subjects to which their transformation rules were applied. Someone less familiar with the schema languages could have made other choices.
That’s the hard question isn’t it? How to have reliable integration without presuming a common perspective/interpretation of the schema languages?
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PS: This is the first of many posts on researchers working in areas of interest to the topic maps community.