The Study And Implementation Of Semantic Integration Based On Linked Data In Digital Museum

With the development of network information technology, the digital museum flourishes worldwide. But the way museums managing the data resources in isolation poses challenges to information integration. As an important aspect of semantic web technologies, linked data provides an effective way for publication and integration of information resources on the web. But there are also some problems in the current study of semantic integration based on linked data, such as serious deficiency of association links, limitation of association types, bad control quality of association links, etc. Therefore it has theoretical significance and practical value to carry out research on semantic integration based on linked data in digital museum.Focusing on solving the problems in data sharing of digital museum, the semantic integration based on linked data is studied. Firstly, a linked data-based semantic integration method and an applicative model are proposed in this paper by researching on the technical architecture and semantic integration strategy of linked data. The linked data-based semantic integration method involves correlation detection, concept feature model obtaining, knowledge discovery and association building. Besides, the user interface is designed to ensure the quality and authority of semantic links. The semantic integration model proposed in this paper includes data, domain ontology, metadata semantization, and application services layer. And the metadata semantization layer comprises the initial semantization sublayer and the semantic extension sublayer. Secondly, a linked data-based semantic integration platform is built in this paper, which includes domain resources, semantic integration, linked data web, and application services layer. Finally, experiments are designed to verify the validity of proposed method and effect of the linked data-based semantic integration platform.Experimental results show that the semantic integration method proposed in this paper can build seven kinds of semantic links with good accuracy between museum and external data sets, and the semantic integration platform works well.