An Approach to Discovery with miAamics and jABC
We present a hybrid approach to service discovery that uses miAamics, a rule-based selection engine, as a matchmaker within the jABC, a framework for service-oriented process modelling, execution, and evolution. This approach aims at tailoring the service discovery process in such a way that different users with different technical and domain competence can efficiently participate at their level of expertise. We shape the collaboration between business experts and IT team following the well-known 80/20 principle: more than 80% of the discovery management, control, and use should not require any special IT knowledge. In particular, the specification of the set of weighted rules, which is miAamics' way of describing the aspect-oriented relevance of data/products/offers, can in our experience be dealt with by business experts without IT knowledge after a short training. Entering the predicates that describe the individual preferences of a user for a certain selection process can easily be done simply by clicking at certain preference criteria: this is so intuitive that it does not even require an explanation.
KeywordsDescription Logic Service Discovery Weighted Rule Knowledge Expression Destination Information
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