Semantic Multi-agent Architecture to Road Traffic Information Retrieval on the Web of Data

In this paper, we describe a system based on FIPA standards to help the process of advertisement, discovery, invocation and reuse of traffic information on the web of data. The use of semantic web services (SWS) can be exploited to improve the outcomes in the discovery process, allowing end users to specify their need using concepts not keywords. Most of the traffic information is generally recovered by end users through web forms that specify their requirements, and must refill each time the same parameters to obtain the updated value from the web sites. Using agents besides Service Oriented Architecture (SOA), we will achieve interoperability between systems and also automatize the process to obtain the data updated periodically. The amount of SWSs and the development of domain ontologies is increasing. However, in our domain (Intelligent Transport Systems) they are not very extended, so we had the need to develop our own ontologies. Our ontologies will allow to annotate semantically web services and also to translate the data provided by web forms to web services. To provide semantic search and retrieval information in real time we store the semantic WS profiles and our domain ontologies in a knowledge repository(KB) .This framework should improve the Human-Machine and the Machine-to-Machine interaction with the web of data, thanksto agents and the use of semantically annotated web service profiles.