Visual Inference Specification Methods for Modularized Rulebases. Overview and Integration Proposal

Details Visual Inference Specification Methods for Modularized Rulebases. Overview and Integration Proposal Visual Inference Specification Methods for Modularized Rulebases. Overview and Integration Proposal

2011-09-03

arxiv.org/abs/1109.0621v1

Computer Science

Artificial Intelligence

from the KESE6 workshop at the 33rd German AI Conference KI-2010 in Karlsruhe (see: http://ai.ia.agh.edu.pl/wiki/kese:kese6)

Scientific paper

The paper concerns selected rule modularization techniques. Three visual methods for inference specification for modularized rule- bases are described: Drools Flow, BPMN and XTT2. Drools Flow is a popular technology for workflow or process modeling, BPMN is an OMG standard for modeling business processes, and XTT2 is a hierarchical tab- ular system specification method. Because of some limitations of these solutions, several proposals of their integration are given.

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