Quotation Sabou, Reka Marta, Kovalenko, Olga, Novák, Petr. 2016. Semantic Modelling and Acquisition of Engineering Knowledge. In: Semantic Web Technologies for Intelligent Engineering Applications, Hrsg. Stefan Biffl, Marta Sabou, 105-136. Cham, Switzerland: Springer.




Ontologies are key Semantic Web technologies (SWTs) that provide means to formally and explicitly represent domain knowledge in terms of key domain concepts and their relations. Therefore, the creation of intelligent engineering applications (IEAs) that rely on SWTs depends on the creation of a suitable ontology that semantically models engineering knowledge and the representation of engineering data in terms of this ontology (i.e., through a knowledge acquisition process). The tasks of semantic modellingSemantic modelling and acquisition of engineering knowledge are, however, complex tasks that rely on specialized skills provided by a knowledge engineer and can therefore be daunting for those SWT adopters that do not possess this skill set. This chapter aims to support these SWT adopters by summing up essential knowledge for creating and populating ontologies including: ontology engineering methodologies and methods for assessing the quality of the created ontologies. The chapter provides examples of concrete engineering ontologies, and classifies these engineering ontologies in a framework based on the Product-Process-Resource abstraction. The chapter also contains examples of best practices for modelling common situations in the engineering domain using ontology design patterns, and gives an overview of the current tools that engineers ca use to lift engineering data stored in legacy formats (such as, spreadsheets, XML files, and databases, etc.) to a semantic representation.


Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation External
Type of publication Chapter in edited volume
Language English
Title Semantic Modelling and Acquisition of Engineering Knowledge
Title of whole publication Semantic Web Technologies for Intelligent Engineering Applications
Editor Stefan Biffl, Marta Sabou
Page from 105
Page to 136
Location Cham, Switzerland
Publisher Springer
Year 2016
URL https://doi.org/10.1007/978-3-319-41490-4_5
Open Access N


Sabou, Reka Marta (Details)
Kovalenko, Olga (TU Wien, Austria)
Novák, Petr (TU Wien, Austria)
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
1127 Information science (Details)
1138 Information systems (Details)
1140 Software engineering (Details)
Google Scholar: Search