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A solution for processing supply chain events within ontology-based descriptions

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationIECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society
Number of pages7
ISBN (Electronic)978-1-5090-3474-1
Publication statusPublished - 22 Dec 2016
Publication typeA4 Article in a conference publication
EventAnnual Conference of the IEEE Industrial Electronics Society -
Duration: 1 Jan 1900 → …

Publication series

ISSN (Print)1553-572X


ConferenceAnnual Conference of the IEEE Industrial Electronics Society
Period1/01/00 → …


The industry is constantly moving towards the research, implementation and deployment of new solutions that permit the optimization of processes. Nowadays, such solutions consist mostly on ICT developments, which permit the collection, distribution, integration, analysis, and manipulation of heterogeneous data. The under way Cloud Collaborative Manufacturing Networks (C2NET) project targets the development of cloud-enabled tools for supporting the SMEs supply network optimization of manufacturing and logistic assets. The C2NET solution includes the implementation of paradigms as e.g. cloud computing or service-oriented and event-driven architectures, used for wide data integration. Among its requirements, the C2NET platform needs a solution for catch, process and react to events triggered in different locations of collaborative manufacturing networks, which are endowed with devices that permits the integration of Cyber-Physical Systems (CPS). This paper presents the architecture and main functionality of a knowledge-based approach that allows processing supply chain events handled by CPS devices. The main component of the presented solution is the SECA ontology, which is a knowledge base that can be updated at runtime. The main purpose of the ontology is to describe events, their status and the actions to be performed once a set of events are triggered in certain order. This research work offers a solution that can be employed by the C2NET platform not only to catch and process events; but also to notify linked data consumers.


  • Cloud computing, Engines, Knowledge based systems, Manufacturing, Ontologies, Optimization, Supply chains, SPARQL, cyber-physical systems, event processing, knowledge-based system, ontology

Publication forum classification

Field of science, Statistics Finland