| 谢 天，陈建华，韦瑶瑶，张俊波.基于语义的电力系统工作流智能推理框架[J].,2015,16(1):64-71 |
| 基于语义的电力系统工作流智能推理框架 |
| Power System Oriented SemanticWorkflow Reasoning Framework |
| 投稿时间：2014-12-03 |
| DOI： |
| 中文关键词: 电力系统 语义网规则语言 语义工作流 本体 |
| English Keywords:SWRL workflow semantic reasoning ontology |
| Fund Project: |
|
| 摘要点击次数: 1120 |
| 全文下载次数: 652 |
| 中文摘要: |
| 为实现电力系统工作流程的智能性，结合本体、语义推理、数据挖掘等技术，设计面向电力系统应用的语义工作流推理框架；建立该框架下工作流及其涉及的电力系统资源的本体概念和关系模型，描述电力生产需求信息、工作流和系统资源本体之间的联系；从最基本的推理元素出发，基于语义网规则语言构造工作流生成的触发推理流程和规则；运用Protégé和Jess推理引擎实现工作流触发推理的应用模型，通过推理实验验证本方法的有效性。 |
| English Summary: |
| To achieve the intellectuality of the working process of manufacturing system in the power system, in this paper, the technologies of ontology, semantic reasoning, data mining, and so on are combined to build a power system oriented semantic workflow reasoning framework. The ontology concept and relation models of the workflow and the system resources involved in this framework were constructed, then the relationship between the power production demand information, the ontology workflow and power system resources are set up. And the trigger reasoning rules of workflow generating is researched and constructed by the technology of SWRL. The application model of workflow trigger reasoning is achieved by Protégé and reasoning engine of Jess, and the reasoning experiment is achieved. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
| 关闭 |