标题：An Entropy-Based Weighted Concept Lattice for Merging Multi-Source Geo-Ontologies作者：Li, Junli; He, Zongyi; Zhu, Qiaoli
来源出版物：ENTROPY 卷：15 期：6 页：2303-2318 DOI: 10.3390/e15062303出版年：JUN 2013
摘要：To deal with the complexities associated with the rapid growth in a merged concept lattice, a formal method based on an entropy-based weighted concept lattice (EWCL) is proposed as a mechanism for merging multi-source geographic ontologies (geo-ontologies). First, formal concept analysis (FCA) is used to formalize different term-based representations in relation to the geographic domain, and to construct a merged formal context. Second, a weighted concept lattice (WCL) is applied to reduce the merged concept lattice, based on information entropy and a deviance analysis. The entropy of the attribute set is exploited to acquire the intent weight value, and the standard deviation contributes to computing the intent importance deviance value, according to the user preferences and interests. Some nodes of the merged concept lattice are then removed if their intent weights are lower than the intent importance thresholds specified by the user. Finally, experiments were conducted by combining fundamental geographic information data and spatial data in the hydraulic engineering domain from China. The results indicate that the proposed method is feasible and valid for reducing the complexities associated with the merging of geo-ontologies. Although there are still some problems in the application, the manuscript offers a new approach for the merging of geo-ontologies.
入藏号：WOS:000320773000017
文献类型：Article
语种：English
作者关键词：geo-ontology merging, formal concept analysis, weighted concept lattice, information entropy, deviation analysis
扩展关键词：GEOGRAPHIC INFORMATION INTEGRATION; FORMAL CONCEPT ANALYSIS; DOMAIN
通讯作者地址：李军利(Li, Junli);Wuhan Univ, Sch Resources & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.
电子邮件地址：lijunli866@whu.edu.cn; zongyihe56@yahoo.com; zhuqiaoli2008@163.com
地址：
[Li, Junli; He, Zongyi; Zhu, Qiaoli] Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Peoples R China.
[Li, Junli] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.
研究方向：Physics
ISSN：1099-4300
