Machine-understandable and processable representation of UNECE standards for meat. Bovine Meat – Carcases and Cuts case study

Robert Trypuz, Piotr Kulicki, Przemysław Grądzki, Rafał Trójczak, Jerzy Wierzbicki: Machine-understandable and processable representation of UNECE standards for meat. Bovine Meat - Carcases and Cuts case study. In: MTSR 2016, 2016.

Abstract

The paper offers a semantic representation of one of the sixteen UNECE standards for meat. The content of the standard is briefly presented in a natural language. Then, the methodology is discussed. Simple Knowledge Organisation System (SKOS) is chosen as the basis of representation. A limited number of ontological object properties extending SKOS are used to represent relations among beef cuts such as the relation of emph{being prepared from}. The advantages of the representation are discussed, especially the possibility of the use of reasoning mechanisms, as well as its flexibility and robustness.

This paper also sketches a vision of a larger project aimed at semantic representation of all UNECE meat standards and their joining into a network of Web vocabulary such as Schema.org and GS1 vocabulary.

A web application to browse the UNCECE standard for beef and SPARQL Endpoint to query it are also provided.

    BibTeX (Download)

    @inproceedings{mtsr2016,
    title = {Machine-understandable and processable representation of UNECE standards for meat.  Bovine Meat - Carcases and Cuts case study},
    author = {Robert Trypuz and Piotr Kulicki and Przemysław Grądzki and Rafał Trójczak and Jerzy Wierzbicki},
    year  = {2016},
    date = {2016-11-22},
    booktitle = {MTSR 2016},
    abstract = {The paper offers a semantic representation of one of the sixteen UNECE standards for meat. The content of the standard is briefly presented in a natural language. Then, the methodology is discussed. Simple Knowledge Organisation System (SKOS) is chosen as the basis of representation. A limited number of ontological object properties extending SKOS are used to represent relations among beef cuts such as the relation of \emph{being prepared from}. The advantages of the representation are discussed, especially the possibility of the use of reasoning mechanisms, as well as its flexibility and robustness. 
    
    This paper also sketches a vision of a larger project aimed at semantic representation of all UNECE meat standards and their joining into a network of Web vocabulary such as Schema.org and GS1 vocabulary.
    
    A web application to browse the UNCECE standard for beef and SPARQL Endpoint to query it are also provided.},
    keywords = {applied ontology},
    pubstate = {published},
    tppubtype = {inproceedings}
    }