Now showing 1 - 4 of 4
  • Publication
    Ontology Based Skill Matchmaking Between Contributors and Projects in Open Source Hardware
    Open source hardware (OSH) projects are dynamic with respect to those actively participating in them. In addition, often-stated challenges in OSH projects are the difficulty to find suitable collaborators and to motivate them to stay for the longer run. This paper addresses these challenges to balance the workload between the project core team and the community. For this purpose, an ontology-based demonstrator for skill-based matching in OSH communities was developed and evaluated. A sample project and user data from a collaborative online OSH development platform was enriched with skills and connected with a semantic network consisting of two ontologies. On one hand, the demonstrator enables finding users with particular capabilities to match certain project requirements. On the other hand, users of the development platform can be matched to projects based on their skill interests. A use case scenario was evaluated using the demonstrator. The results show that an integration of a semantic network with a collaborative OSH development platform is realisable and presents potentials for further utilization.
  • Publication
    The Use of Digital Twins to Overcome Semantic Barriers in Hyperconnected Ecosystems for Industry
    To establish business networks a match between businesses demands and potential partner information is required. Publicly available information on the Internet about companies, products and services usually don’t follow a common standard. The concept of a digital twin could be used to organise the different information and, in the future, to harmonise the way company data is made available on the web. Every company usually has a web presence, related documents, web pages and a trace on the web, which can be used for an initial structure of the digital twin. Hereby, first services for the correlations between partner companies and requirements can be designed. But it requires the management of legal aspects e.g. the access of bots to the public available information. The paper provides initial ideas and feasibility checks and it propose an evolution of the current heterogeneous content and structure of the data into a well-structured digital twin including content related ontologies to describe the company characteristics.
  • Publication
    Optimized data integration for tracelinking in product development through the application of semantic web technologies
    (Fraunhofer Verlag, 2018)
    Woll, Robert
    This thesis addresses the heterogeneous data challenge in product development by providing an approach that allows for managing explicit links between distributed data in a central data integration solution. It proposes a set of methods, architectural patterns and reusable components for developing such solutions for individual engineering application scenarios and it explores the potentials of applying semantic web technologies in this context. These tools and insights, combined with a presentation of the theoretical foundations and the state of the art in this field, shall enable solution engineers to acquire the necessary understanding and fundaments for developing such data integration solutions for their customers. Furthermore, this thesis represents a relevant addition to the scientific state of the art in the field of virtual product development. By applying trending information technologies to realistic industrial engineering use cases and by evaluating their potentials and limitations following a systematic scientific approach, this thesis generates new findings that contribute to advancing the field of virtual product development.
  • Publication
    Semantic integration of product data models for the verification of product requirements
    ( 2013)
    Woll, Robert
    ;
    Hayka, Haygazun
    ;
    Stark, Rainer
    ;
    Geissler, C.
    ;
    Greisinger, C.
    Along the product development process concurrent engineering teams repeatedly create new product data and exchange it among each other as a logical input for subsequent engineering activities. Almost every piece of product data logically builds on another. However, usually product data is scattered over different, domain-specific IT systems and this physical separation is a challenge for product developers and IT experts. Since the management of logical interrelations between distributed product data is costly, such semantic links are often not modelled explicitly. Hence, engineers need to know these interrelations implicitly in order to ensure logical consistency of the overall product model. In this paper an approach for efficient semantic data integration and its application to an exemplary use case, knowledge-based test planning, is presented. It is supported by an integration framework that uses ontologies for interlinking different systems of virtual product creation. The paper also presents the findings of a case study on the process of defining a mapping between a requirements ontology and a domain-specific data exchange format, the Requirements Interchange Format (ReqIF).