An algorithm with PN to improve recall of service matching

Traditional UDDI does not have the capability to process semantic and match to the service attribute, which results in a low recall rate and matching rate. Through the service matching framework of Multi-agent, a Petri net based OWL-S semantic matching mechanism is proposed to de al with the shortcoming, in which PNSDL description language was used to publish and request services. In virtue of the PN's ability for describing we b service, the matching mechanism uses the possibility and necessity to quantify the confidence levels that the service could satisfy a request, so as to finish the matching of service. The matching mechanism has the advantage of powerful ability to process, model for Multiservice, high reality of matching and high matching rate, etc.