A semantic registry using a Feature Type Catalogue instead of ontologies to support spatial data infrastructures

Abstract

The use of a semantically rich registry containing a Feature Type Catalogue (FTC) to represent the semantics of geographic feature types including operations, attributes and relationships between feature types is required to realise the benefits of Spatial Data Infrastructures (SDIs). Specifically, such information provides a more complete representation of the semantics of the concepts used in the SDI, and enables advanced navigation, discovery and utilisation of discovered resources. The presented approach creates an FTC implementation in which attributes, associations and operations for a given feature type are encapsulated within the FTC, and these conceptual representations are separated from the implementation aspects of the web services that may realise the operations in the FTC. This differs from previous approaches that combine the implementation and conceptual aspects of behaviour in a web service ontology, but separate the behavioural aspects from the static aspects of the semantics of the concept or feature type. These principles are demonstrated by the implementation of such a registry using open standards. The ebXML Registry Information Model (ebRIM) was used to incorporate the FTC described in ISO 19110 by extending the Open Geospatial Consortium ebRIM Profile for the Web Catalogue Service (CSW) and adding a number of stored queries to allow the FTC component of the standards-compliant registry to be interrogated. The registry was populated with feature types from the marine domain, incorporating objects that conform to both the object and field views of the world. The implemented registry demonstrates the benefits of inheritance of feature type operations, attributes and associations, the ability to navigate around the FTC and the advantages of separating the conceptual from the implementation aspects of the FTC. Further work is required to formalise the model and include axioms to allow enhanced semantic expressiveness and the development of reasoning capabilities.

Determining Semantic Similarity of Behaviour Using Natural Semantic Metalanguage to Match User Objectives to Available Web Services

“…The proposed method considers the implementation and conceptual aspects of a web service to be distinct. This issue, together with the use of registries to represent web service implementation and invocation details, is discussed in more detail in forthcoming work by the author (Stock et al forthcoming).…”

A Semantic Registry Method Using Sensor Metadata Ontology to Manage Heterogeneous Sensor Information in the Geospatial Sensor Web

“…Some existing services provide semantic registration and discovery [13][14][15][16], which is generally implemented in two manners. Integrating semantics into a registry information model (such as ebRIM) using three different methods: (a) mapping from Web Ontology Language (OWL) elements to ebRIM elements using EXtensible Stylesheet Language Transformations (XSLT) documents, as in the case of GeoNetwork (GN)-ebRIM [17]; (b) adding new classes, classification schemes, associations, and slots with semantic information to extend the ebRIM, as in the case of the George Mason University (GMU)-CSW [16]; and (c) disassembling the concept of ontology and relationships to extend the ebRIM [18]. Adding semantic information to a catalog using two different methods.…”