Study On Ontology-based City Public Traffic Intelligent Information Retrieval

With internet develops rapidly and exploding domain information, users can research and get plenty information. Information retrieval becomes one of the hottest domains of network informatics.City intelligent public traffic is infrastructure which influences city development and citizens' life directly. Due to its crucial effect on economics, city intelligent public traffic is supported heavily by nation. City public traffic is the domain which is closely linked with citizens and travelers and users want to get domain directions on Web. However most of the retrieval systems use keywords to search information, users may get redundancy results or miss what they want. The unsatisfactory efficiency makes users' lower satisfaction at search engine indirectly.The key point to solve above problem is constructing the standard of city public traffic domain. Due to the specific character of ontology which describes domain concepts and relationships explicitly, this paper introduced ontology into city public traffic information retrieval for enhancing the service quality. Having analyzed status quo of the traditional information retrieval and the principle, technology of ontology, integrating the features of software engineering into domain ontology construction, the paper constructed Dalian urban public traffic ontology and proposed a framework of ontology-based city public traffic intelligent information retrieval. This paper used several technologies such as conception broaden, correlation degree and Jena-based query for reference and made a step for helping users acquire satisfactory information from multifarious information.