SWRL rule based precondition and effects service matching

Abstract

The rapid development of Web service technologies has dramatically increased the quantity of available web services. Hence, it becomes a challenging task to efficiently discover services that exactly match user requirements from the large and growing service library. The rule-based semantic web service discovery strategy proposed in this paper documents the formal description of semantic web service, rule, and service matching etc. Service matching which is regarded as rule-based reasoning problem in this paper achieved by knowledge-base and reasoning technologies. IO-based matching services is to discovery the user required service via matching the service's input/output and user-desired input/output. In real life, the implementation of many services need to meet the more complicated pre-conditions (Preconditions) and effects, such as the implementation of some services need to have authorization (the Authorized), also have some effect (Effects) after the service execution. This paper use the IO-based matching service discovery algorithm as the basis and improve the service discovery's accuracy by adding the matching of the precondition and effect of service. In this paper, a rule-based reasoning mechanism is proposed to implement IOPE services matching algorithm, some experiment are conducted to verify the feasibility and effectiveness of the algorithm.