Research On Semantic Search In Retrieval System Of ERP

With the gradually improved of information technology, keyword matching as a general method is used by the traditional information retrieval system. However, retrieval system based on keyword matching cannot provide satisfactory results. Semantic web, described in the semantic level, is more advanced and intelligent than the current web. It can provide the semantic data computer can "understand and deal with" to make network application widely developed toward the intelligent direction. Semantic search as an application based on semantic web increases retrieval systems'efficiency and accuracy using ontology to descript resources. ERP system as an enterprise information products supporting enterprise content management to specific areas, coupled with the concept of domain ontology on the semantic ambiguity can be eliminated, more suitable for the development of semantic search development.This thesis aims to achieve semantic retrieval system which provides the service for the constructing in the nuclear field, and discusses on the feasibility of semantic web applications implemented by ERP system, and studies in the ontology languages RDF, RDFS and OWL, and studies the Jena tools developed by semantic web framework. In Technology, this subject investigates fully business needs of the constructing in the nuclear field, based on which we will create and improve the ontology library as complete as possible. Jena is used to develop semantic web ontology library creating interface, business data description interface and semantic query interface. Account for creating the ontology library automatically is very impossible; we will improve ontology library manually. Taking into account the number of ERP system modules, we pick an experience feedback module for achieving semantic retrieval system and proposed the Semantic Web and ERP system integration solutions and the software framework for the ERP system based on Semantic Web. It is important for widespread application and development of semantic web.