[Objective] Find the semantic relations among large-scale Oracle Bone Inscription (OBI) data in order to provide semantic analysis function for OBI research. [Methods] Based on text mining, combined with the semantic Web technology, implement semantic search on the data set of RDF-based entities and their relationships. And using Ontology relationships and Ontology reasoning to extract explicit or implicit semantic relationships among RDF objects. [Results] Experimental results show that the F-Measure can reach 74.49% on OBI literature semantic mining and 70.61% on OBI semantic mining, which satisfy the need of OBI information processing. [Limitations] Semantic mining is based on three different Ontologies instead of an integrated one. [Conclusions] RDF can provide a structured semantic specification description and the LarKC system is suitable for large-scale OBI semantic processing.
熊晶, 高峰, 吴琴霞. 甲骨文大规模基础数据的语义挖掘研究[J]. 现代图书情报技术, 2015, 31(2): 7-14.
Xiong Jing, Gao Feng, Wu Qinxia. Research on Semantic Mining for Large-scale Oracle Bone Inscriptions Foundation Data. New Technology of Library and Information Service, 2015, 31(2): 7-14.
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