计算机科学 ›› 2014, Vol. 41 ›› Issue (9): 185-189.doi: 10.11896/j.issn.1002-137X.2014.09.035

• 软件与数据库技术 • 上一篇    下一篇

一种基于语义的业务活动推荐方法

张龙,应时,贾向阳,龚致远,李琳   

  1. 武汉大学软件工程国家重点实验室 武汉430072 武汉大学计算机学院 武汉430072;武汉大学软件工程国家重点实验室 武汉430072 武汉大学计算机学院 武汉430072;武汉大学软件工程国家重点实验室 武汉430072 武汉大学计算机学院 武汉430072;武汉大学软件工程国家重点实验室 武汉430072 武汉大学计算机学院 武汉430072;武汉大学软件工程国家重点实验室 武汉430072 武汉大学计算机学院 武汉430072
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金面上项目:基于框架的面向服务软件异常处理方法研究(61070012),国家自然科学基金重点项目:面向服务软件体系结构设计阶段异常处理的建模和验证(61272113),国家自然科学基金重点项目:软件异常的双路传播模型及其构建与分析方法(61272108),国家自然科学基金重点项目:可信软件构造理论与方法研究(91118003),国家自然科学基金面上项目:基于编译的嵌入式系统优化研究(61170022),海外及港澳学者合作研究基金:网络电子图书的自动编辑与维护(61028003),教育部高等学校学科创新引智计划:软件工程及导航信息网络科学与技术创新引智基地(B07037)资助

Semantic-based Approach for Business Activities Recommendation

ZHANG Long,YING Shi,JIA Xiang-yang,GONG Zhi-yuan and LI Lin   

  • Online:2018-11-14 Published:2018-11-14

摘要: 以企业复杂业务逻辑为背景,针对动态构造业务流程中的用户遗漏或错选工作等问题,提出了一种基于语义的业务活动推荐方法。首先定义面向业务活动的基础本体模型并在此基础上构建了基本推理规则,接着详细描述了方法所采用的推荐策略并在此基础上设计了推荐算法。方法的工作机制是接收并分析业务活动事件并调用推荐算法,推荐算法访问知识库,生成最终的推荐结果呈现给用户。最后通过国家综合减灾应用系统案例来验证方法的有效性。

关键词: 事件驱动,语义,推理规则,业务活动,推荐

Abstract: In a dynamic constructed business workflow,users always leave out the activities they should do or select the wrong activities they shouldn’t do at the background of complex enterprise business logic.To solve this problem,a semantic-based approach for business activities recommendation was proposed.First we defined the foundation ontology model for business activities,and on the basis of the model built some basic reasoning rules.Then we described the re-commendation strategy in detail,and designed the recommendation algorithm based on the strategy.The mechanism of the approach is receiving and analyzing business activity events to invoke the recommendation algorithm,then the algorithm accesses to knowledge base to generate the final recommended results to the end user.Finally,a case of state comprehensive disaster reduction system was studied to validate the proposed approach.

Key words: Event-driven,Semantic,Reasoning rules,Business activities,Recommendation

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