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New Technology of Library and Information Service  2015, Vol. 31 Issue (2): 7-14    DOI: 10.11925/infotech.1003-3513.2015.02.02
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Research on Semantic Mining for Large-scale Oracle Bone Inscriptions Foundation Data
Xiong Jing, Gao Feng, Wu Qinxia
School of Computer and Information Engineering, Anyang Normal University, Anyang 455000, China
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[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.

Key wordsOracle Bone Inscriptions information processing      Ontology      Semantic mining      LarKC     
Received: 14 August 2014      Published: 17 March 2015
:  TP182  

Cite this article:

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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