In order to improve knowledge of digital reference service capability, this paper proposes a framework for integration of digital reference knowledge. Firstly, it defines reference questions and describes the use of domain ontology mapping technology to establish reference problem space. Then the knowledge ontology is extracted, cleaned and matched to get meta-knowledge set based on assumption management of the problem space. Pair of meta-knowledge is set to be integrated in knowledge and accessed to the solution space. Finally it builds the knowledge to achieve the integration of digital reference functional framework. The article is important for solving the structural heterogeneity of heterogeneous data, semantic conflicts and other issues of great significance.
Shen Wang
,
Li Yafeng
,
Hou Haochen
. Study on Digital Reference Knowledge Fusion Framework[J]. Library and Information Service, 2013
, 57(19)
: 139
-143
.
DOI: 10.7536/j.issn.0252-3116.2013.19.022
[1] 王晶晶. 基于因子分析的图书馆数字参考咨询服务质量影响因素测度研究[J]. 图书情报工作, 2012, 56(1): 82-85.
[2] Preece A, Hui K, Gray A, et al. The KRAFT architecture for knowledge fusion and transformation[J]. Knowledge-Based Systems, 2000, 13(2): 113-120.
[3] 郭强, 关欣, 曹昕莹, 等. 知识融合理论研究发展与展望[J]. 中国电子科学研究院学报, 2012, 7(3): 252-257.
[4] Lu Huimin, Feng Boqin. Conflicts for multi-resource knowledge fusion[J]. Information Technology Journal, 2009,8(8): 1242-1248.
[5] Li Xiangyang, Chandra C. A knowledge integration framework for complex network management[J]. Industrial Management & Data Systems, 2007, 107(8): 1089-1109.
[6] Saïs F, Pernelle N, Rousset M C. Combining a logical and a numerical method for data reconciliation[J]//Journal on Data Semantics,2009(12): 66-94.
[7] Kuo Tsung-Ting,Tseng Shian-Shyang,Lin Yao-Tsung. Ontology-based knowledge fusion framework using graph partitioning [M]//PPLecture Notes in Artificial Intelligence. Heidelberg: Springer, 2003.
[8] Santos J, Wilkinson J, Santos E. Bayesian knowledge fusion[EB/OL].[2013-04-08].http://di2ag.thayer.dartmouth.edu/wiki/images/4/4c/FlairsFusion.pdf.
[9] Hu Xiao, Hu Jie,Sekhari A. A fuzzy knowledge fusion framework for terms conflict resolution in concurrent engineering[J]. Concurrent Engineering, 2011, 19(1): 71-84.
[10] SaIïs F,Thomopoulos R, Destercke S. Ontology-driven possibilistic reference fusion[EB/OL].[2013-04-08]. http://www.researchgate.net/publication/220830494_Ontology-Driven_Possibilistic_Reference_Fusion/file/d912f50743ee1da78e.pdf.
[11] 徐赐军, 李爱平, 刘雪梅. 基于本体的知识融合框架[J]. 计算机辅助设计与图形学学报, 2010(7): 1230-1236.
[12] 谢能付. 基于农业本体和融合规则的知识融合框架研究[J]. 安徽农业科学, 2013,41(1):407-409.
