Research On Application Of Semantic Web Technologies In Product Information Management

The development of information management technology has improved the level of enterprise automation management,however,most of the existing information management systems are based on the relational database technology,which has the problem of data redundancy and inefficient management in the construction and maintenance of the association relationship.At the same time,with a deeper need of automation and intellectualization for information management,enterprise information management based on ontology knowledge becomes a new way to improve the level of automation management.However,in the application of ontology knowledge in information management,the use of traditional storage technology will face the difficulty of the expansion of the entity information and the challenge of non reasoning.In recent years,the rapid development and wide application of NoSQL and Semantic Web technology have brought new opportunities for ontology data modeling and ontology based reasoning.Therefore,in view of the above problems of using traditional technology for information management,this thesis studies how to make use of Semantic Web technology to realize information management,including information management method based on graph data model and its technology: RDF Data modeling technology,data storage query technology,ontology technology and Prolog rule inference.Firstly,the thesis expounds the background and significance of the research and the current research and application of Semantic Web technology.Secondly,it analyzes the feasibility and function of using Semantic Web technology to manage product information.Then,the technology of Semantic Web used in product management is studied in detail,including: RDF storage query,ontology and inference technology,rule inference based on Prolog,etc.Finally,using laboratory resources,the semantic network technology in product information management has been implemented,and set up access platform for management verification.The main research work of this paper is as follows:1.Studied the Semantic Web technology stack,understood and mastered the technology and implementation of the stack,and used Semantic Web RDF technology to construct the object model of product and its related information,studied the ontology construction of RDF data Model,ontology inference technology and methods,design and realize the information management of the product;2.Studied the storage and query of RDF data for Semantic Web and analyzied its storage implementation under different types of databases,and compare and analyze the influence of two different ways on storing RDF data in graph database;3.Using the RDF Data Standard query Language(also known as Access Protocol)SPARQL and Java API for accessing and operating Allegrograph graph database,the programming design was implemeneted for each function module in product information management;4.Based on the rule design of Prolog language,the product attribute of information management was expanded according to the product information model,and the meaning of data information was enriched.the Combined with ontology construction technology modeling and knowledge consistency management of product information was designed,while the inference machines used in inference process were studied and integrated to improve performance.5.Implementing software design for product information management,a testing platform was built to test and verify system function interface.The test results show that Semantic Web technologies can play an important role in information management,including: to provide data consistency detection based on ontology knowledge,to bring flexible object attribute extension ability and simple data operation and maintenance.