Current industry standards for describing web services focus on interoperability across different development platforms but fail to provide a consistent foundation to be able to acquire some automation, like to make intelligent searches or service compositions. Effective web services discovery should be defined as the process of matching user requests with some available web services and must focus on semantics, depending directly on the ability to make semantic specifications about web services at a machine-readable level. This paper proposes an implementation of OWL-S to support semantic discovery for Brazilian Air-Traffic Management Web Services.
The use of semantic web technologies and of ontologies is raising growing interest in industry. Industry is facing during these last decades, with the rapid development and use of a set of applications for specific needs, new issues due to a lack of interoperability, which conducts to growing costs. When digitization of industry is accelerating, ontologies and digital data standards based on models pave the way to solve these issues by improving interoperability between applications and between actors of the value chain. Recent European H2020 projects and clusters, Joint Industrial Projects in industry and advanced standards of Standardization Development Organizations converge towards new ways of modeling, structuring, and managing digital technical data across applications using ontologies thanks to advanced conceptual, methodological, and semantic technologies. In this paper, we will provide preliminary results for structuring transverse information knowledge and data in a proper manner using industry standards and semantic framework.
This work discusses how to connect business decision support systems, implemented in terms of the BPMN and DMN standards, with materials modelling workflows. The suggested approach facilitates interoperability of materials modelling software tools covering the main phenomena involved in advanced corrosion protection and active protective coatings’ behaviour. The proposed system integrates materials modelling methodologies with decision support in business processes using a knowledge-based architecture. Thus, this contribution showcases the missing link between business processes, materials science, and computational engineering workflows for industrially relevant use cases; here, specifically, corrosion and protective-coating modelling. At the implementation level, we report on novel features of the process modelling suite ProMo for ontology and process-topology based materials modelling workflow construction and documentation. ProMo is extended to address challenges specific to the H2020 project VIPCOAT which works toward establishing an open innovation platform for active protective coatings and accelerated corrosion tests, including assessments of their in-service durability. Connections between quantitatively reliable materials modelling tools, their integration into simulation workflows, and ontology-based knowledge representation are considered, addressing the use case from VIPCOAT.
In this paper, we report on the current state of the development of the Open Translation Environment (OTE), which is based on the Elementary Multiperspective Material Ontology (EMMO) – a top-level ontology for applied science, to support Translators in the Materials domain. We describe the conceptual architecture of the OTE, as well as some of its main components.
Space System Engineering is an iterative process in which various domain-specific viewpoints are integrated to present the final mission. This multi-disciplinary character of digital space systems creates interoperability issues. To deal with these issues, European Space Agency (ESA) initiated the OSMoSE project ( O verall S emantic Mo delling for S ystem E ngineering) to promote the digital continuity and interoperability among the involved stakeholders. OSMoSE provides a top-level space system ontology (OSS) and domain-specific ontologies. This paper aims at proposing a framework to create domain-specific ontologies for space systems. The concept of Perspective is proposed to define the system from the viewpoint of different engineering domains. This approach help us to identify all important information for each discipline as well as identifying interfaces between sub-systems. The proposed approach is presented by means of an example from a simulated earth observation mission (EagleEye) and the ontology is made using NORMA ORM (Object-Role Modelling) tool.
