A Novel Approach to Semantic Similarity Measurement Based on a Weighted Concept Lattice: Exemplifying Geo-Information
School of Resources and Environment Science, Wuhan University, No. 129 Luoyu Road, Wuhan 430079, China
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ISPRS Int. J. Geo-Inf. 2017, 6(11), 348; https://doi.org/10.3390/ijgi6110348
Received: 7 August 2017
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Revised: 30 October 2017
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Accepted: 3 November 2017
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Published: 7 November 2017
The measurement of semantic similarity has been widely recognized as having a fundamental and key role in information science and information systems. Although various models have been proposed to measure semantic similarity, these models are not able effectively to quantify the weights of relevant factors that impact on the judgement of semantic similarity, such as the attributes of concepts, application context, and concept hierarchy. In this paper, we propose a novel approach that comprehensively considers the effects of various factors on semantic similarity judgment, which we name semantic similarity measurement based on a weighted concept lattice (SSMWCL). A feature model and network model are integrated together in SSMWCL. Based on the feature model, the combined weight of each attribute of the concepts is calculated by merging its information entropy and inclusion-degree importance in a specific application context. By establishing the weighted concept lattice, the relative hierarchical depths of concepts for comparison are computed according to the principle of the network model. The integration of feature model and network model enables SSMWCL to take account of differences in concepts more comprehensively in semantic similarity measurement. Additionally, a workflow of SSMWCL is designed to demonstrate these procedures and a case study of geo-information is conducted to assess the approach.
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Keywords:
semantic similarity measurement; weighted concept lattice; formal concept analysis; feature model; geo-information
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MDPI and ACS Style
Xiao, J.; He, Z. A Novel Approach to Semantic Similarity Measurement Based on a Weighted Concept Lattice: Exemplifying Geo-Information. ISPRS Int. J. Geo-Inf. 2017, 6, 348. https://doi.org/10.3390/ijgi6110348
AMA Style
Xiao J, He Z. A Novel Approach to Semantic Similarity Measurement Based on a Weighted Concept Lattice: Exemplifying Geo-Information. ISPRS International Journal of Geo-Information. 2017; 6(11):348. https://doi.org/10.3390/ijgi6110348
Chicago/Turabian StyleXiao, Jia, and Zongyi He. 2017. "A Novel Approach to Semantic Similarity Measurement Based on a Weighted Concept Lattice: Exemplifying Geo-Information" ISPRS International Journal of Geo-Information 6, no. 11: 348. https://doi.org/10.3390/ijgi6110348
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