The Integration Of Library Information Resources Based On Linked Data

With the advent of the era of big data, traditional library information resources integration models have been unable to effectively integrate resources. In order to improve the efficiency of library users to find information, this paper constructs a library bibliographic resources integration model based on the linked data. It integrates the bibliographic related resources-linked data sets, databases, spreadsheets, web pages, into a semantic integrated system to make up for the deficiencies of traditional bibliographic resources of non-semantic integrated models. Followed realizing the model by the relevant technical-using SPARQL query language and JAVA programming language author detailedly explores the process from bibliographic linked data sets query to bibliographic attribute query and matching, bibliographic online query by defining attribute value and then matching the bibliographic online. Finally, author writes an online retrieval system that users do not need to learn the linked data query syntax, just enter the exact title, the book number or other information, and you can realize bibliographic online exact query and match in various bibliographic linked data sets, and then unified processing format and duplicate removal to bibliographic data, and finally presenting a complementally complete bibliographic. The study has certain theoretical and practical reference value to future semantic information resources integration based on linked data.