基于本体的发布/订阅系统的数据模型和匹配算法

汪锦岭; 金蓓弘; 李京; 邵丹华

引用本文:	汪锦岭,金蓓弘,李京,邵丹华.基于本体的发布/订阅系统的数据模型和匹配算法.软件学报,2005,16(9):1625-1635

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基于本体的发布/订阅系统的数据模型和匹配算法
汪锦岭^1,2, 金蓓弘¹, 李京¹, 邵丹华¹
1.中国科学院,软件研究所,软件工程技术中心,北京,100080;2.中国科学院,研究生院,北京,100049

摘要:

现有的发布/订阅系统不能根据事件的语义来进行事件与订阅的匹配,且不能支持具有复杂结构(如图状结构)的事件.将语义Web技术引入发布/订阅系统中,提出一种基于本体的发布/订阅系统.该系统采用本体来表示事件的概念模型,采用RDF图来表示事件,采用图模式来表示订阅条件.它能较好地解决现有的发布/订阅系统的上述问题.实验结果表明,该系统具有较高的订阅匹配效率.

关键词: 发布/订阅本体 RDF 匹配算法

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基金项目:Supported by the National Natural Science Foundation of China under Grant No.60173023(国家自然科学基金);the National High-Tech Research and Development Plan of China under Grant No.2001AA113010(国家高技术研究发展计划(863));the National Grand Fundamental Research 973 Program

Data Model and Matching Algorithm in an Ontology-Based Publish/Subscribe System

WANG Jin-Ling,JIN Bei-Hong,LI Jing,SHAO Dan-Hua

Abstract:

The existing publish/subscribe systems can’t match events with subscriptions based on the semantic of events, and they cannot support events with complex structure (such as graph structure). The Semantic Web technologies are introduced into the publish/subscribe system and an ontology-based publish/subscribe system is proposed. In this system, the concept model of events is represented as ontologies, the events are represented as RDF graphs, and the subscriptions are represented as graph patterns. The system can overcome the disadvantages of the existing publish/subscribe systems. Experimental results show that it has high matching efficiency.

Key words: publish/subscribe ontology RDF matching algorithm