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Text integration based on a construction information resource sharing ontology
Published in Manuel Martínez, Raimar Scherer, eWork and eBusiness in Architecture, Engineering and Construction, 2020
Semantic Web technology can not only be used to describe the content but also the service infrastructure itself. Particularly the two specifications OWL-S and the WSMO have been proposed for developing Semantic Web Services that allow for automatic discovery, composition and execution of Web services (Lara et al. 2004, W3Cb 2004, Alesso & Smith 2005). However, while the current concepts for Semantic Web services provide for coupling service functionalities for conventional business transactions they need to be extended to also support the collaborative use of heterogeneous information resources o the environment. Hence, in a Semantic Service Environment the shared semantics is envisioned to allow for both: the identification and reuse of information resources as well as the orchestration of processing resources.
Internet of Things: A Context-Awareness Perspective
Published in Lu Yan, Yan Zhang, Laurence T. Yang, Huansheng Ning, The Internet of Things, 2008
Davy Preuveneers, Yolande Berbers
Another emerging trend is coming from the Semantic Web community. Although the WSDL [8] has been very successful as a syntactic specification language to interact with Web services using different backend environments, it does not provide any support for a consistent interpretation of the Web service content. The use of ontologies has already gained much attention for the semantic modeling of context, as illustrated in Figure 13.4. The application of ontologies is also finding its way in new Web service specifications, including OWL-S [25], METEORS [34], WSDL-S [2], WSMO [9,15], and others, to augment service descriptions in order to automate their discovery, composition, and invocation in pervasive computing environments. The services, that were previously only described by their public invocation interfaces, are now enriched with machine-interpretable semantics by referring to and reasoning on established ontologies that encapsulate the meaning of the service. Also, for the Internet of Things, the use of ontologies within the architecture may help to make sense of it all, for both the context information as well as the services being offered.
An Improved Mechanism For Semantic Web Service Discovery
Published in Amir Hussain, Mirjana Ivanovic, Electronics, Communications and Networks IV, 2015
Hui Li, Yunfeng Hu, Jianfeng Ma
Semantic Web service description languages, for example Ontology Web Language for Service (OWL-S) (Martin & Burstein 2004) and Web Service Modeling Ontology (WSMO) (Roman & Keller 2005), are proposed as abstractions of syntactic Web service description languages e.g. WSDL. OWL-S describes the inputs, outputs, categories and consequences of Web services by using concepts defined in the ontology. And it also provides the low-level framework for specialization into a WSDL frame to be compatible With existing Web services.
Semantic typing of linked geoprocessing workflows
Published in International Journal of Digital Earth, 2018
Simon Scheider, Andrea Ballatore
Existing languages, however, tend to focus on the construction and execution of code, not on sharing methods or procedures. The strength of Semantic Web technology and linked data, by contrast, lies precisely in the ability to share types on the web and to construct and infer types in a much more flexible, distributed way (Kuhn, Kauppinen, and Janowicz 2014). Classes and relations that are used to type and link resources can be used in tractable inferences. For instance, where programming languages tend to require unique types to remain tractable, a given resource can be typed with an arbitrary number of OWL classes. While data types in programming focus on technical interoperability, classes in OWL can capture specific semantic content on the level of the application domain. This was a driver behind the development of ontology-based web service descriptions, such as WSMO.10 In practice, however, such approaches have been seldom combined with GIS-specific concepts that go beyond basic data formats (Fitzner, Hoffmann, and Klien 2011). Furthermore, WSMO targets web services, not workflows. For all these reasons, we propose a typing scheme based on linked data technology, tailored to geoprocessing workflows. As we will show below, our scheme is modular, to some extent also constructive, and it allows for type inference.