摘要
针对面向服务功能的语义Web服务组合问题,特别是经典的人工智能规划方法无法有效地处理Web服务执行过程中动态产生的新个体,以及基于服务匹配的方法则无法充分利用服务I/O参数类型之间大量的语义关联等关键问题,通过动态逻辑和描述逻辑之间的对比研究,采用描述逻辑公理来刻画Web服务的IOPR(inputs,outputs,precondilions and results),扩展了基于动态逻辑的人工智能规划方法,提出了把语义Web服务组合问题转化为描述逻辑推理问题的方法,克服了经典的人工智能规划方法中的困难和基于服务匹配的服务组合方法的缺点.
Aiming at critical issues in the function-oriented composition of semantic Web services, such as the incapability of classic AI planning methods to handle the dynamically created individuals during Web services＇ executions and the inadequacy of service matchmaking based methods to fully exploit the semantic connections between types of services＇ I/O parameters. Following a comparative study of description logics and dynamic logics, Web services＇ IOPR＇s （inputs, outputs, preconditions and results） are encoded in axioms of description logics, and AI （artificial intelligence） planning method based on dynamic logic is extended to accommodate the transformation of a service composition problem into reasoning task of description logics. It finally overcomes difficulties in the classic AI planning method and defects in those methods based on service matchmaking.
出处
《软件学报》
EI
CSCD
北大核心
2008年第4期967-980,共14页
Journal of Software
基金
国家自然科学基金Nos．60473057，60573057，90604007，60703075~~
关键词
语义网
WEB服务
描述逻辑
服务组合
自动推理
semantic Web
Web service
description logics
service composition
automated reasoning
