Visual Inference Specification Methods for Modularized Rulebases. Overview and Integration Proposal
Artificial Intelligence
2011-09-06 v1 Software Engineering
Abstract
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.
Cite
@article{arxiv.1109.0621,
title = {Visual Inference Specification Methods for Modularized Rulebases. Overview and Integration Proposal},
author = {Krzysztof Kluza and Grzegorz J. Nalepa and Łukasz Łysik},
journal= {arXiv preprint arXiv:1109.0621},
year = {2011}
}
Comments
from the KESE6 workshop at the 33rd German AI Conference KI-2010 in Karlsruhe (see: http://ai.ia.agh.edu.pl/wiki/kese:kese6)