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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 716))

Abstract

In the paper we discuss the idea of ontology reuse as a way of fast prototyping of new concepts. In particular, we propose that instead of building a complete ontology describing certain concepts from the very beginning, it is possible and advisable to reuse existing resources. We claim that the available online resources such as Wikidata or wordnets can be used to provide some hints or even complete parts of ontologies aiding new concepts definition. As a proof of concept, we present the implementation of an extension to the Ontolis ontology editor. With this extension we are able to reuse the ontologies provided by Wikidata to define the concepts that have not been previously defined. As a preliminary evaluation of the extension, we compare the amount of work required to define selected concepts with and without the proposed ontology reuse method.

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Notes

  1. 1.

    As plWordNet contains primarily Polish terms, the actual search has been conducted using the Polish term lekarz which through the interlingual synonymy relation leads to the doctor concept.

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Acknowledgments

The reported study was partially supported by the European Union from the FP7-PEOPLE-2013-IAPP AutoUniMo project Automotive Production Engineering Unified Perspective based on Data Mining Methods and Virtual Factory Model (grant agreement no. 612207) and research work financed from funds for science in years 2016–2017 allocated to an international co-financed project (grant agreement no. 3491/7.PR/15/2016/2). It was also partially supported by the Institute of Informatics research grant no. BKM/507/RAU2/2016, at the Silesian Univeristy of Technology, Poland and the Government of Perm Krai, research project No. C-26/004.08 and by the Foundation of Assistance for Small Innovative Enterprises, Russia.

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Postanogov, I., Jastrząb, T. (2017). Ontology Reuse as a Means for Fast Prototyping of New Concepts. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation. BDAS 2017. Communications in Computer and Information Science, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-58274-0_23

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