Towards smart measurement plan using category ontology modelling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper a schema that generate smart measurement plans from the designed specifications is proposed. The knowledge modelling of the proposed schema is based on a new knowledge representation language, named category ontology language (COL) (authors’ ongoing work). In the proposed method, the semantics of a designed specification was modelled into a category S. Then a faithful functor was constructed from the category S to generate a measurement category M, using GPS concepts and philosophy as the framework. A test case of an areal surface texture specification was used to validate the proposed method. It can demonstrate that the schema has the required adaptivity and as such when the design specification is revised or updated, the corresponding measurement plan will be reasoned simultaneously.
Original languageEnglish
Title of host publicationAdvanced Mathematical and Computational Tools in Metrology and Testing XI
EditorsAlistair B. Forbes, Nien-Fan Zhang, Anna Chunovkina, Sascha Eichstädt
Place of PublicationGlasgow, Scotland
Pages315-323
Number of pages9
Volume87
ISBN (Electronic)9789813274310
DOIs
Publication statusPublished - 1 Dec 2018
EventAdvanced Mathematical and Computational Tools in Metrology and Testing XI - University of Strathclyde, Glasgow, United Kingdom
Duration: 29 Aug 201731 Aug 2017
Conference number: XI
https://enbis.org/rw/articleattachments/617_224_AMCTM2017-Call-for-Papers.pdf (Link to Call for Papers)

Conference

ConferenceAdvanced Mathematical and Computational Tools in Metrology and Testing XI
CountryUnited Kingdom
CityGlasgow
Period29/08/1731/08/17
Internet address

    Fingerprint

Cite this

Qi, Q., Scott, P., & Jiang, X. (2018). Towards smart measurement plan using category ontology modelling. In A. B. Forbes, N-F. Zhang, A. Chunovkina, & S. Eichstädt (Eds.), Advanced Mathematical and Computational Tools in Metrology and Testing XI (Vol. 87, pp. 315-323). Glasgow, Scotland. https://doi.org/10.1142/9789813274303_0031