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服务编排统计如何减少本体映射问题

How Service Choreography Statistics Reduce the Ontology Mapping Problem
课程网址: http://videolectures.net/iswc07_besana_hscs/  
主讲教师: Paolo Besana
开课单位: 爱丁堡大学
开课时间: 2008-01-31
课程语种: 英语
中文简介:
在开放和分布式环境中,本体映射提供了交互参与者之间的互操作性。然而,传统的映射系统主要集中在静态信息的获取和整个本体的映射上,这在开放系统中是不可行的。本文表明,行动者之间的交互作用可以用来预测映射,从而简化动态本体映射。直观的观点是相似的交互遵循相似的约定和模式,可以分析。计算模型可用于建议新交互中交换消息的可能映射。建议可以由任何标准的本体匹配器进行评估:如果它们是准确的,匹配器将避免评估与交互无关的映射。使用该系统的最低要求是能够描述和识别交互序列:OpenKnowledge项目已经生成了一个实现,证明在完全对等的环境中这是可能的。
课程简介: In open and distributed environments ontology mapping provides interoperability between interacting actors. However, conventional mapping systems focus on acquiring static information, and on mapping whole ontologies, which is infeasible in open systems. This paper shows that the interactions themselves between the actors can be used to predict mappings, simplifying dynamic ontology mapping. The intuitive idea is that similar interactions follow similar conventions and patterns, which can be analysed. The computed model can be used to suggest the possible mappings for the exchanged messages in new interactions. The suggestions can be evaluate by any standard ontology matcher: if they are accurate, the matchers avoid evaluating mappings unrelated to the interaction. The minimal requirement in order to use this system is that it is possible to describe and identify the interaction sequences: the OpenKnowledge project has produced an implementation that demonstrates this is possible in a fully peer-to-peer environment.
关 键 词: 本体映射; 交互序列; 本体匹配
课程来源: 视频讲座网
最后编审: 2021-02-16:nkq
阅读次数: 36