arXiv 1109.06212011-09-03cs.AIcs.SE

模块化规则库的可视化推理规范方法。概述和整合建议

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

AGH University of Science and Technology（AGH科技大学）

Krzysztof Kluza, Grzegorz J. Nalepa, Łukasz Łysik

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

摘要：

本文关注选择规则模块化技术。介绍了三种模块化规则库的可视化推理描述方法：DroolsFlow、BPMN和XTT2。Drools Flow是一种流行的工作流或过程建模技术，BPMN是一种用于建模业务过程的OMG标准，而XTT 2是一种分层的表系统规范方法。由于这些解决方案的一些局限性，提出了几个建议，他们的集成。

英文摘要：

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.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。