Geospatial Web Services Discovery through Semantic Annotation of WPS

This paper presents an approach to GWS (GeospatialWeb Service) discovery through the semantic annotation of WPS (Web Processing Service) service descriptions. The rationale behind this work is that search engines that use appropriate semantic-based similarity measures in the matching process are mor...

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Veröffentlicht in:	ISPRS international journal of geo-information Jg. 11; H. 4; S. 254
Hauptverfasser:	Halilali, Meriem Sabrine, Gouardères, Eric, Gaio, Mauro, Devin, Florent
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.04.2022 MDPI
Schlagworte:	Annotations Cognition & reasoning Computer Science geospatial web service Information Retrieval Information services Internet service providers ISO standards Language Logic Matching Metadata non-functional matching Ontology Resource Description Framework-RDF Search engines semantic annotation Semantic web semantic web service description semantic web service discovery semantic web service matching Semantics Similarity Similarity measures Software Engineering Taxonomy Vocabularies & taxonomies Web Web services non-functional matching geospatial web service semantic web service matching semantic annotation WPS semantic web service description semantic web service discovery
ISSN:	2220-9964, 2220-9964
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Abstract	This paper presents an approach to GWS (GeospatialWeb Service) discovery through the semantic annotation of WPS (Web Processing Service) service descriptions. The rationale behind this work is that search engines that use appropriate semantic-based similarity measures in the matching process are more accurate in terms of precision and recall than those based on syntactic matching alone. The lack of semantics in the description of services using a standard such as WPS prevents the use of such a matching process and is considered a limitation of GWS discovery. The GWS discovery approach presented is based on the consideration of semantics in the service description method and in the matching process. The description of services is based on a semantic lightweight meta-model instantiated in the WPS 2.0 standard, extending the description of the service through metadata tags. The matching process is performed in three steps (functionality matching step, I/O (Input/Output) matching step and non-functional matching step). Its core is a semantic similarity measure that combines logical and non-logical matching methods. Finally, the paper presents the results of an experiment applying the proposed discovery approach on a GWS corpus, showing promising results and the added value of the three-step matching process.
AbstractList	This paper presents an approach to GWS (GeospatialWeb Service) discovery through the semantic annotation of WPS (Web Processing Service) service descriptions. The rationale behind this work is that search engines that use appropriate semantic-based similarity measures in the matching process are more accurate in terms of precision and recall than those based on syntactic matching alone. The lack of semantics in the description of services using a standard such as WPS prevents the use of such a matching process and is considered a limitation of GWS discovery. The GWS discovery approach presented is based on the consideration of semantics in the service description method and in the matching process. The description of services is based on a semantic lightweight meta-model instantiated in the WPS 2.0 standard, extending the description of the service through metadata tags. The matching process is performed in three steps (functionality matching step, I/O (Input/Output) matching step and non-functional matching step). Its core is a semantic similarity measure that combines logical and non-logical matching methods. Finally, the paper presents the results of an experiment applying the proposed discovery approach on a GWS corpus, showing promising results and the added value of the three-step matching process. This paper presents an approach to GWS (Geospatial Web Service) discovery through the semantic annotation of WPS (Web Processing Service) service descriptions. The rationale behind this work is that search engines that use appropriate semantic-based similarity measures in the matching process are more accurate in terms of precision and recall than those based on syntactic matching alone. The lack of semantics in the description of services using a standard such as WPS prevents the use of such a matching process and is considered a limitation of GWS discovery. The GWS discovery approach presented is based on the consideration of semantics in the service description method and in the matching process. The description of services is based on a semantic lightweight meta-model instantiated in the WPS 2.0 standard, extending the description of the service through metadata tags. The matching process is performed in three steps (functionality matching step, I/O (Input/Output) matching step and non-functional matching step). Its core is a semantic similarity measure that combines logical and non-logical matching methods. Finally, the paper presents the results of an experiment applying the proposed discovery approach on a GWS corpus, showing promising results and the added value of the three-step matching process.
Author	Gouardères, Eric Halilali, Meriem Sabrine Gaio, Mauro Devin, Florent
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Cites_doi	10.1109/GreenCom.2012.40 10.1007/978-981-13-2203-7_56 10.1111/j.1467-9671.2010.01186.x 10.1007/s12145-015-0229-z 10.1016/j.compenvurbsys.2017.03.007 10.1109/ICSC.2010.11 10.3115/981732.981751 10.1016/j.cageo.2011.10.007 10.3390/ijgi8030118 10.1007/s10707-009-0096-1 10.1016/j.cageo.2006.09.003 10.1590/S1982-21702015000300029 10.1109/Geoinformatics.2013.6626188 10.1109/GEOWS.2009.17 10.1109/GEOINFORMATICS.2010.5567643 10.1080/14498596.2013.815148 10.1145/1967486.1967496 10.1007/978-981-32-9915-3_6 10.1111/tgis.12460 10.1007/978-3-642-02121-3_41 10.1109/IGARSS.2006.894 10.1007/s11280-007-0040-y 10.1007/s10579-019-09466-4 10.1111/j.1467-9671.2012.01348.x 10.1109/MIC.2007.134
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SubjectTerms	Annotations Cognition & reasoning Computer Science geospatial web service Information Retrieval Information services Internet service providers ISO standards Language Logic Matching Metadata non-functional matching Ontology Resource Description Framework-RDF Search engines semantic annotation Semantic web semantic web service description semantic web service discovery semantic web service matching Semantics Similarity Similarity measures Software Engineering Taxonomy Vocabularies & taxonomies Web Web services
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Title	Geospatial Web Services Discovery through Semantic Annotation of WPS
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