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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Bibliographic Details
Published in:ISPRS international journal of geo-information Vol. 11; no. 4; p. 254
Main Authors: Halilali, Meriem Sabrine, Gouardères, Eric, Gaio, Mauro, Devin, Florent
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.04.2022
MDPI
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi11040254