Archaeological Computing Laboratory, University of Sydney
Novel data modelling approach. Real world relationships aren't as simple as what is modelled by entity relationship diagrams; there can be multiple contingent relations changing over time, and entities can split into complex types as knowledge grows.
Heurist knowledge management model: start with table of record types, then table of detail types (= fields), and requirements table, binding details to records and how they behave. Summary data is stored in a record, detail information are stored as name/value pairs. Relationships are modelled as a first order record. (Reifying the relationship allows it to have attributes.)
Raw querying performance is poor; can't use complex SQL queries; obscure to explain. But performs acceptably with 100k records; export to RDF triple store with SPARQL to improve performance. Increase in flexibility will outweigh drawbacks.
Point is to create a meta-database, linking info to info across archives. (Would like to use persistent identifiers to do so.)
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