“…Ontology supports data integration through the application of Linked Data principles El Kadiri, Milicic, and Kiritsis (2013) Data/ information exchange Ontology encompasses the model and the data and thus can be seamlessly exchanged among different systems on a global basis based on standardised representation languages (OWL/RDF/ RDFS) Rico et al (2014), Dartigues (2003), Dartigues et al (2007), Abdul-Ghafour (2009), Lin and Harding (2007), and Yoo and Kim (2002) Information modelling Ontology enables information modelling of the product throughout its entire lifecycle and supports expressing a shared understanding of a domain as a common source of knowledge Barbau et al (2012), Vegetti, Henning, andLeone (2005), Giménez et al (2008), Panetto, Dassisti, andTursi (2012), Kiritsis (2011), Matsokis and Kiritsis (2010), Milicic et al (2012) and Perdikakis et al (2012) Knowledge engineering Ontology supports capturing, storing and retrieving knowledge taking advantages from reasoning mechanisms to infer hidden and tacit facts Sanya and Shehab (2014), Giménez et al (2008), Kiritsis (2011), Matsokis andKiritsis (2010), Lutzenberger, Klein, andThoben (2013), Panetto, Dassisti, and Tursi (2012), Chen, Chen, andChu (2009), Jiang, Peng, and, Lin and Harding (2007), Fortineau (2013), Milicic et al (2012aMilicic et al ( , 2013, and Grosse, Milton-Benoit, and Wileden (2005) International Journal of Production Research 7 models. This conversion results in semantic loss in information representation, which requires a preliminary knowledge of the conceptual model in order to operate on the database.…”