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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ICA-Abs</journal-id>
<journal-title-group>
<journal-title>Abstracts of the ICA</journal-title>
<abbrev-journal-title abbrev-type="publisher">ICA-Abs</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Abstr. Int. Cartogr. Assoc.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2570-2106</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/ica-abs-1-376-2019</article-id>
<title-group>
<article-title>A Semantic Representation of Map Projections Knowledge</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Usery</surname>
<given-names>E. Lynn</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>U.S. Geological Survey, 1400 Independence Road, Rolla, MO, 65401, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>19</day>
<month>07</month>
<year>2019</year>
</pub-date>
<volume>1</volume>
<elocation-id>376</elocation-id>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2019 E. Lynn Usery</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://ica-abs.copernicus.org/articles/1/376/2019/ica-abs-1-376-2019.html">This article is available from https://ica-abs.copernicus.org/articles/1/376/2019/ica-abs-1-376-2019.html</self-uri>
<self-uri xlink:href="https://ica-abs.copernicus.org/articles/1/376/2019/ica-abs-1-376-2019.pdf">The full text article is available as a PDF file from https://ica-abs.copernicus.org/articles/1/376/2019/ica-abs-1-376-2019.pdf</self-uri>
<abstract>
<p>A body of knowledge for cartography requires representing knowledge of the specific sub topics in the field. Map projections is a fundamental part of the knowledge base for cartography and a wealth of material exists on knowledge of map projections. Semantic organization of such knowledge is of primary importance to the access and use of map projections knowledge. This project builds a semantic representation for the fundamental parts of map projection knowledge. The semantics capture the concepts and relations between these concepts providing the user an easy method to access the knowledge and apply it to specific problems. The semantics represent classes of projections and the properties associated with those classes as well as the appropriate use. Such a representation can be accessed by humans or machines to arrive at appropriate selection and use of map projection theory.</p>
</abstract>
<counts><page-count count="1"/></counts>
</article-meta>
</front>
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</article>