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

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 measure...

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Autores principales:	Miao Lizhi, Liu Chengliang, Fan Li, Kwan Mei-Po
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	ontology ogc web service geospatial semantic semantic similarity geospatial query Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/5d450eb8c1634fd18f5268b1de96f8b3
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id	oai:doaj.org-article:5d450eb8c1634fd18f5268b1de96f8b3
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spelling	oai:doaj.org-article:5d450eb8c1634fd18f5268b1de96f8b32021-12-05T14:10:48ZAn OGC web service geospatial data semantic similarity model for improving geospatial service discovery2391-544710.1515/geo-2020-0232https://doaj.org/article/5d450eb8c1634fd18f5268b1de96f8b32021-02-01T00:00:00Zhttps://doi.org/10.1515/geo-2020-0232https://doaj.org/toc/2391-5447Open 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-based matching, 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.Miao LizhiLiu ChengliangFan LiKwan Mei-PoDe Gruyterarticleontologyogc web servicegeospatial semanticsemantic similaritygeospatial queryGeologyQE1-996.5ENOpen Geosciences, Vol 13, Iss 1, Pp 245-261 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ontology ogc web service geospatial semantic semantic similarity geospatial query Geology QE1-996.5
spellingShingle	ontology ogc web service geospatial semantic semantic similarity geospatial query Geology QE1-996.5 Miao Lizhi Liu Chengliang Fan Li Kwan Mei-Po An OGC web service geospatial data semantic similarity model for improving geospatial service discovery
description	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-based matching, 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.
format	article
author	Miao Lizhi Liu Chengliang Fan Li Kwan Mei-Po
author_facet	Miao Lizhi Liu Chengliang Fan Li Kwan Mei-Po
author_sort	Miao Lizhi
title	An OGC web service geospatial data semantic similarity model for improving geospatial service discovery
title_short	An OGC web service geospatial data semantic similarity model for improving geospatial service discovery
title_full	An OGC web service geospatial data semantic similarity model for improving geospatial service discovery
title_fullStr	An OGC web service geospatial data semantic similarity model for improving geospatial service discovery
title_full_unstemmed	An OGC web service geospatial data semantic similarity model for improving geospatial service discovery
title_sort	ogc web service geospatial data semantic similarity model for improving geospatial service discovery
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/5d450eb8c1634fd18f5268b1de96f8b3
work_keys_str_mv	AT miaolizhi anogcwebservicegeospatialdatasemanticsimilaritymodelforimprovinggeospatialservicediscovery AT liuchengliang anogcwebservicegeospatialdatasemanticsimilaritymodelforimprovinggeospatialservicediscovery AT fanli anogcwebservicegeospatialdatasemanticsimilaritymodelforimprovinggeospatialservicediscovery AT kwanmeipo anogcwebservicegeospatialdatasemanticsimilaritymodelforimprovinggeospatialservicediscovery AT miaolizhi ogcwebservicegeospatialdatasemanticsimilaritymodelforimprovinggeospatialservicediscovery AT liuchengliang ogcwebservicegeospatialdatasemanticsimilaritymodelforimprovinggeospatialservicediscovery AT fanli ogcwebservicegeospatialdatasemanticsimilaritymodelforimprovinggeospatialservicediscovery AT kwanmeipo ogcwebservicegeospatialdatasemanticsimilaritymodelforimprovinggeospatialservicediscovery
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An OGC web service geospatial data semantic similarity model for improving geospatial service discovery

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