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WeldGalaxy: From Ontology To Data Modelling

Thu, 09 July, 2020

WeldGalaxy innovates by providing a semantic based data model for the welding domain and to support the WeldGalaxy marketplace. This approach is based on semantic principles that result in a data set with inherently specified data structures enabling interoperability through APIs. To support services a practical approach is providing the data model as a service as with an end-to-end capability to import, create, update or delete the ontological and semantic model in an automatic manner through the administrative tools. Furthermore, the data model provides a set of APIs that allow different actions to be performed on nodes or infrastructures connected to the Dynamic Knowledge Management (DKM). This approach supports not only interoperable access to the data through the cloud but also avoids the provider lock-in problem for materials providers, especially for SMEs.

The WeldGalaxy data model semantically represents: (a) WeldGalaxy materials offering capabilities, (b) materials characteristics and welding procedures and (c) requirements of applications to be deployed over the WeldGalaxy platform. The ontology has been designed to optimally support a semantic matchmaking  with  seamless extensibility, since both WeldGalaxy characteristics and parameters are defined as classes; therefore, extending the ontology with new characteristics and parameters requires the addition of new specialized subclasses of the already existing classes, which is less complicated than adding ontology properties.

The semantic data model is based on the developed ontology, which supports our semantic based approach and is defined by the scope of the welding domain that WeldGalaxy is targeting. In this regard, WeldGalaxy targets the domain of Arc Welding. Inside the arc welding domain, five (5) areas have been also selected to refine the range of the project: welding processes, welding resources, types of joints, types of grooves in the joints and metals. The selection of the areas, tools and processes have been done by experts in TWI and with the WeldGalaxy experts in order to provide a good representation of the market while allowing a focused approach, not only for the ontological data modelling but for the project scope and open calls.

The WeldGalaxy Ontology is being evaluated through verification tools, competency questions, experts from the welding domain (TWI), application tasks and query tests in the WeldGalaxy demonstrator. The aim is to become the data model enabling dynamic interoperable knowledge over the WeldGalaxy platform.

The semantic based data model development is led by the LifeSTech research group of the Universidad Politécnica de Madrid in close collaboration with TWI, the Leicester University, EKON and Technovative Solutions (TVS).