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Mediators to Access Public Data Resources

This paper reports an experienced and evaluated three layer architectural solution to cooperate with user applications for database access in a large and legacy real environment. It looks for mediator software independence from idiosyncrasies of user application interfaces and specific database schemata. The cornerstone to implement this architecture is a set of relational databases and views manipulated by a Relational Inference Machine - RIM - which is based on the lexicon that comes from datafield content semantics. There is a variety of utilizations in real life, specially State's public services, which operate with different semantic domains applyied to individuals identification, localities and addresses naming, personnel data, bibliographic items location, amongst others. Some of those applications are over increasingly large and intensively accessed databases, especially in legacy and federated environments growing used over a network. Such several interactive public database systems are daily using these mediation services and tools over millions of data records which had posed some challenges along its use and evolution. Of course, lots of unexplored issues and possibilities still remain to be searched and solved. We are trying an approach based on semantic constellation for context hunting over non-structured data, in order to improve semantic searching.