License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.COSIT.2022.29
URN: urn:nbn:de:0030-drops-169147
URL: https://drops.dagstuhl.de/opus/volltexte/2022/16914/
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Qi, Yanmin ; Du, Heshan ; Farjudian, Amin ; Zhu, Yunqiang

Representing Computational Relations in Knowledge Graphs Using Functional Languages (Short Paper)

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LIPIcs-COSIT-2022-29.pdf (0.5 MB)


Abstract

Knowledge representation is the cornerstone of constructing a GKG. The existing representations of spatial and computational relations in GKGs, however, are inadequate. In this paper, we use DE-9IM to represent spatial topological relations. To represent computational relations, we use typed lambda calculus via its implementation in the functional language Haskell, in which functions are first-class primitives. We exemplify our ideas through some basic examples in Haskell.

BibTeX - Entry

@InProceedings{qi_et_al:LIPIcs.COSIT.2022.29,
  author =	{Qi, Yanmin and Du, Heshan and Farjudian, Amin and Zhu, Yunqiang},
  title =	{{Representing Computational Relations in Knowledge Graphs Using Functional Languages}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{29:1--29:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-257-0},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{240},
  editor =	{Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/16914},
  URN =		{urn:nbn:de:0030-drops-169147},
  doi =		{10.4230/LIPIcs.COSIT.2022.29},
  annote =	{Keywords: spatial relation, computational relation, functional programming, Haskell, geo-knowledge graph}
}

Keywords: spatial relation, computational relation, functional programming, Haskell, geo-knowledge graph
Collection: 15th International Conference on Spatial Information Theory (COSIT 2022)
Issue Date: 2022
Date of publication: 22.08.2022


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