Organizing Meaning Evolution Supporting Systems Using Semantic Decision Tables
نویسندگان
چکیده
DOGMA-MESS (Meaning Evolution Support System) is a system and methodology for supporting scalable, community-grounded ontology engineering. It uses a socio-technical process of meaning negotiation to tackle the scalability problems in ontology engineering. In order to improve the effectiveness of DOGMA-MESS, we adopt Semantic Decision Tables (SDT). An SDT contains semantically rich decision rules that guide DOGMA-MESS micro-processes. SDT separates decision rules from DOGMA-MESS. SDT with different decision rules results in different final decisions, which can be evaluated. In this paper, we illustrate how such SDT is used and apply our approach in the domain of Human Resource Management.
منابع مشابه
Use Semantic Decision Tables to Improve Meaning Evolution Support Systems
Meaning Evolution Support Systems have been recently introduced as a real-time, scalable, community-based cooperative systems to support the ontology evolution. In this paper, we intend to address the problems of accuracy and effectiveness by using Semantic Decision Tables. A Semantic Decision Table separates general decision rules from the processes, bootstraps policies and template dependenci...
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