Search for dissertations about: "semantic interoperability"
Showing result 1 - 5 of 28 swedish dissertations containing the words semantic interoperability.
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1. Machine Learning Concepts for Service Data Interoperability
Abstract : Industrial automation is transforming by ongoing digitalization efforts to create a flexible industrial internet of things, turning manufacturing facilities into large-scale systems of cyber-physical systems. This development requires addressing the challenging issue of making heterogeneous systems, data models, and standards interoperable, a core problem in designing sustainable service-oriented automation frameworks. READ MORE
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2. From Interoperability to Harmonization in Metadata Standardization : Designing an Evolvable Framework for Metadata Harmonization
Abstract : Metadata is an increasingly central tool in the current web environment, enabling large-scale, distributed management of resources. Recent years has seen a growth in interaction between previously relatively isolated metadata communities, driven by a need for cross-domain collaboration and exchange. READ MORE
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3. Context Sensitive Transformation of Geographic Information
Abstract : This research is concerned with theoretical and methodological aspects of geographic information transformation between different user contexts. In this dissertation I present theories and methodological approaches that enable a context sensititve use and reuse of geographic data in geographic information systems. READ MORE
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4. An Ontology-Based Platform for Information Integration : Supporting Sustainable Smart Transportation Infrastructure
Abstract : Transportation and transportation infrastructure are major contributors to global emissions. Even though most of these emissions can be attributed to fuel consumption of vehicles, some of it is due to pavement construction and maintenance. READ MORE
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5. System of Systems Interoperability Machine Learning Model
Abstract : Increasingly flexible and efficient industrial processes and automation systems are developed by integrating computational systems and physical processes, thereby forming large heterogeneous systems of cyber-physical systems. Such systems depend on particular data models and payload formats for communication, and making different entities interoperable is a challenging problem that drives the engineering costs and time to deployment. READ MORE