An OGC web service geospatial data semantic similarity model for improving geospatial service discovery

被引:6
作者
Miao, Lizhi [1 ,2 ]
Liu, Chengliang [1 ]
Fan, Li [1 ]
Kwan, Mei-Po [3 ,4 ,5 ]
机构
[1] Nanjing Univ Posts & Telecommun, Coll Geog & Biol Informat, Dept Surveying Mapping & Geoinformat, Nanjing 210023, Jiangsu, Peoples R China
[2] Jiangsu Engn Lab Smart Anal Hlth Big Data & Locat, Nanjing 210023, Jiangsu, Peoples R China
[3] Chinese Univ Hong Kong, Dept Geog & Resource Management, Shatin, Hong Kong, Peoples R China
[4] Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Shatin, Hong Kong, Peoples R China
[5] Univ Utrecht, Dept Human Geog & Spatial Planning, Utrecht, Netherlands
关键词
ontology; OGC web service; geospatial semantic; semantic similarity; geospatial query; GEOGRAPHIC INFORMATION; SEARCH; CONTEXT;
D O I
10.1515/geo-2020-0232
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Open Geospatial Consortium(OGC) Web Services (OWS) are highly significant for geospatial data sharing and widely used in many scientific fields. However, those services are hard to find and utilize effectively. Focusing on addressing the big challenge of OWS resource discovery, we propose a measurement model that integrates spatiotemporal similarity and thematic similarity based on ontology semantics to generate a more efficient search method: OWS Geospatial Data Semantic Similarity Model (OGDSSM)-based search engine for semantically enabled geospatial data service discovery that takes into account the hierarchy difference of geospatial service documents and the number of map layers. We implemented the proposed OGDSSM-based semantic search algorithm on United States Geological Survey mineral resources geospatial service discovery. The results show that the proposed search method has better performance than the existing search engines that are based on keyword-basedmatching, such as Lucene, when recall, precision, and F-measure are taken into consideration. Furthermore, the returned results are ranked based on semantic similarity, which makes it easier for users to find the most similar geospatial data services. Our proposed method can thus enhance the performance of geospatial data service discovery for a wide range of geoscience applications.
引用
收藏
页码:245 / 261
页数:17
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