International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Enterprise interoperability is the ability of disparate and diverse information and control systems to work together efficiently towards mutually beneficial common goals. Some of the main tasks for achieving enterprise interoperability are connected with data and knowledge access and sharing and by use of model transformation. In this paper are presented and discussed several model transformations between different Technological Spaces: RDB, UML and OWL in order to enable ontology-based access to different models of enterprise data. At the core of the approach is the usage of reference models, based on the standard for enterprise integration ISO/IEC 62264.

One of the main problems of biomedical informatics in the effort to increase its contribution in knowledge retrieval and decision making is the integration of ever-increasing amounts of information and data from multiple heterogeneous sources and domains – clinical, medical, biological etc. The paper proposes an ontology based approach for integration of biomedical data and information using the Linked Open Data vocabularies and a D2RQ-mapped database. A simple example of semantic integration of heterogeneous biomedical and health data sources is given.

Manufacturing Operations Management (MOM) systems as central information and data hub play a very important role for an easy and seamless transition to Industrial Internet of Things (IIoT) applications. IIoT is mainly used in the context of Industry 4.0, that pursues the organization and management of value-added processes in the manufacturing industry with means of digitalization. The main aim of the proposed paper is to suggest some modifications to the IEC 62264 based models and architectures using RAMI 4.0 reference architecture in order to follow the basic principles of IoT and achieving the main advantages of IIoT.