Semantic Description for the Taxonomy of the Geospatial Services

Li, Hao; Wang, Yandong; Cheng, Pengfei

doi:10.1590/s1982-21702015000300029

Cited by 2 publications

(4 citation statements)

References 13 publications

(12 reference statements)

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“…In order to ensure GWS discovery, semantic-based frameworks have been proposed [18][19][20] to address functional matching. The most important step in the process of functional matching is to calculate the similarity of the I/O parameters between the services and the user request to find matched ones.…”

Section: Functional Matchingmentioning

confidence: 99%

“…To avoid exploring irrelevant services, and thus decrease the response time, Refs. [19][20][21] added service functionality as a first criterion in the matching process. Therefore, they defined a domain vocabulary to classify geospatial web services functionalities.…”

Section: Functional Matchingmentioning

confidence: 99%

“…Then, the I/O matching step can be applied on selected services to refine the result. In [19,20], despite the implementation of semantic matching methods, the used semantic similarity measures remain naive, and only the proposal in [21] uses mechanisms specific to semantic matchmaking approaches. Existing work on semantic matchmaking can be grouped into three main categories: logic-based approaches, non-logic-based approaches and hybrid approaches.…”

Section: Functional Matchingmentioning

confidence: 99%

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Geospatial Web Services Discovery through Semantic Annotation of WPS

Halilali

Gouardères

Gaio

et al. 2022

IJGI

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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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Section: Functional Matchingmentioning

confidence: 99%

Section: Functional Matchingmentioning

confidence: 99%

Section: Functional Matchingmentioning

confidence: 99%

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Geospatial Web Services Discovery through Semantic Annotation of WPS

Halilali

Gouardères

Gaio

et al. 2022

IJGI

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“…Ontologies or taxonomies are frequently used structures to represent this information. For example, an ontology model to address the semantic discovery and retrieval of geospatial services has already been described by [18,11] almost a decade ago, and also the service taxonomies of [5,25] where designed to handle the semantic discovery of geospatial services. Another example is the service taxonomy model that has been introduced by the International Organization for Standardization (ISO) in ISO19119 [5], which is however restricted to OGC services.…”

Section: Related Workmentioning

confidence: 99%

Constraints-Driven Automatic Geospatial Service Composition: Workflows for the Analysis of Sea-Level Rise Impacts

Al-Areqi

Lamprecht

Margaria

2016

Computational Science and Its Applications -- ICCSA 2016

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Abstract. Building applications based on the reuse of existing components or services has noticeably increased in the geospatial application domain, but researchers still face a variety of technical challenges designing workflows for their specific objectives and preferences. Hence, means for automatic service composition that provide semantics-based assistance in the workflow design process have become a frequent demand especially of end users who are not IT experts. This paper presents a method for automatic composition of workflows for analyzing the impacts of sea-level rise based on semantic domain modeling. The domain modeling comprises the design of adequate services, the definition of ontologies to provide domain-specific vocabulary for referring to types and services, and the input/output annotation of the services using the terms defined in the ontologies. We use the PROPHETS plugin of the jABC workflow framework to show how users can benefit from such a domain model when they apply its constraintsdriven synthesis methods to obtain the workflows that match their intentions.

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Semantic Description for the Taxonomy of the Geospatial Services

Cited by 2 publications

References 13 publications

Geospatial Web Services Discovery through Semantic Annotation of WPS

Geospatial Web Services Discovery through Semantic Annotation of WPS

Constraints-Driven Automatic Geospatial Service Composition: Workflows for the Analysis of Sea-Level Rise Impacts

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