Conference paper Open Access

Using Ontology Design Patterns To Define SHACL Shapes

Pandit, Harshvardhan J.; O'Sullivan, Declan; Lewis, Dave


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <controlfield tag="005">20200120153239.0</controlfield>
  <controlfield tag="001">3246485</controlfield>
  <datafield tag="711" ind1=" " ind2=" ">
    <subfield code="g">WOP2018</subfield>
    <subfield code="a">9th Workshop on Ontology Design and Patterns</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ADAPT Centre, Trinity College Dubln</subfield>
    <subfield code="0">(orcid)0000-0003-1090-3548</subfield>
    <subfield code="a">O'Sullivan, Declan</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">ADAPT Centre, Trinity College Dubln</subfield>
    <subfield code="0">(orcid)0000-0002-3503-4644</subfield>
    <subfield code="a">Lewis, Dave</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">182732</subfield>
    <subfield code="z">md5:afa135e9432fd4d765fd8d4beaa37435</subfield>
    <subfield code="u">https://zenodo.org/record/3246485/files/preprint.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2018-09-04</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="o">oai:zenodo.org:3246485</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">ADAPT Centre, Trinity College Dubln</subfield>
    <subfield code="0">(orcid)0000-0002-5068-3714</subfield>
    <subfield code="a">Pandit, Harshvardhan J.</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Using Ontology Design Patterns To Define SHACL Shapes</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">13/RC/2106</subfield>
    <subfield code="a">ADAPT: Centre for Digital Content Platform Research</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;SHACL shapes used for validation are not related to the axioms used in ontologies used to define the instances. One of the issues with using such axioms is their dependence on concepts which may not be used within the data graph, as well as the presence of other concepts and relationships which the axioms do not cover. By contrast, an Ontology Design Pattern (ODP) contains axioms that are closer to how its in-stances are defined. In this position paper, we discuss the reuse of ODP axioms from modelling contexts to defining SHACL shapes, using the use-case of MicroblogEntry ODP. The aim of this approach is to foster automated generation of SHACL shapes based on contexts, represented by an ODP, defined within data graphs.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.3246484</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.3246485</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">conferencepaper</subfield>
  </datafield>
</record>
14
34
views
downloads
All versions This version
Views 1414
Downloads 3434
Data volume 6.2 MB6.2 MB
Unique views 1414
Unique downloads 3232

Share

Cite as