Abstract
The semantic web provides a semantic interoperation model, and effectively realizes discoveries, sharing and application integrations of network resources. This paper expounds the key technologies such as semantic web, semantic intelligent retrieval, ontology construction, and metadata standards of digital literature resources, analyzes the relationship between ontology and metadata, and presents ontology construction based on bibliographic metadata and the organization method for digital literature resources. Moreover, we design an intelligent retrieval system model for semantic of digital literature resources based on ontology. The system consists of digital document repository, semantic annotators, ontology manager, retrieving the preprocessor, retrieving the reflector, and searching engine. The experiment shows that our method can improve the recall and precision of digital literature resources retrieval.
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This work is supported in part by the Hunan Philosophy and Social Science Foundation of China (12YBA267).
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Guo, G., Chen, Z., Xie, D., Li, M. (2017). Research on Information Organizations and Intelligent Retrievals for Digital Library Based on Ontology and Semantic Web. In: Du, D., Li, L., Zhu, E., He, K. (eds) Theoretical Computer Science. NCTCS 2017. Communications in Computer and Information Science, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-10-6893-5_11
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DOI: https://doi.org/10.1007/978-981-10-6893-5_11
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