Representing Computational Relations in Knowledge Graphs Using Functional Languages

Yanmin Qi; Heshan Du; Amin Farjudian; Yunqiang Zhu

doi:10.4230/LIPIcs.COSIT.2022.29

Representing Computational Relations in Knowledge Graphs Using Functional Languages

Yanmin Qi, Heshan Du, Amin Farjudian, Yunqiang Zhu

Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Knowledge representation is the cornerstone of constructing a geoscience knowledge graph (GKG). The existing representations of spatial and computational relations in GKGs, however, are inadequate. In this paper, we use Dimensionally Extended Nine-Intersection Model (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.

Original language	English
Title of host publication	15th International Conference on Spatial Information Theory (COSIT 2022)
Editors	Toru Ishikawa, Sara Irina Fabrikant, Stephan Winter
Publisher	Schloss Dagstuhl
Number of pages	7
ISBN (Electronic)	9783959772570
DOIs	https://doi.org/10.4230/LIPIcs.COSIT.2022.29
Publication status	Published - 22 Aug 2022
Event	15th International Conference on Spatial Information Theory, COSIT 2022 - Kobe, Japan Duration: 5 Sept 2022 → 9 Sept 2022

Publication series

Name	Leibniz International Proceedings in Informatics (LIPIcs)
Publisher	Schloss Dagstuhl
Volume	240
ISSN (Electronic)	1868-8969

Conference

Conference	15th International Conference on Spatial Information Theory, COSIT 2022
Country/Territory	Japan
City	Kobe
Period	5/09/22 → 9/09/22

Bibliographical note

Funding Information:
National Natural Science Foundation of China [grant number 42050101]

Publisher Copyright:
© 2022 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. All rights reserved.

Keywords

computational relation
functional programming
geo-knowledge graph
Haskell
spatial relation

ASJC Scopus subject areas

Software

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QiY2022RepresentingFinal published version, 560 KBLicence: Creative Commons: Attribution (CC BY)

Cite this

Qi, Y., Du, H., Farjudian, A., & Zhu, Y. (2022). Representing Computational Relations in Knowledge Graphs Using Functional Languages. In T. Ishikawa, S. I. Fabrikant, & S. Winter (Eds.), 15th International Conference on Spatial Information Theory (COSIT 2022) Article 29 (Leibniz International Proceedings in Informatics (LIPIcs); Vol. 240). Schloss Dagstuhl. https://doi.org/10.4230/LIPIcs.COSIT.2022.29

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abstract = "Knowledge representation is the cornerstone of constructing a geoscience knowledge graph (GKG). The existing representations of spatial and computational relations in GKGs, however, are inadequate. In this paper, we use Dimensionally Extended Nine-Intersection Model (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.",

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author = "Yanmin Qi and Heshan Du and Amin Farjudian and Yunqiang Zhu",

note = "Funding Information: National Natural Science Foundation of China [grant number 42050101] Publisher Copyright: {\textcopyright} 2022 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. All rights reserved.; 15th International Conference on Spatial Information Theory, COSIT 2022 ; Conference date: 05-09-2022 Through 09-09-2022",

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doi = "10.4230/LIPIcs.COSIT.2022.29",

language = "English",

series = "Leibniz International Proceedings in Informatics (LIPIcs)",

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Qi, Y, Du, H, Farjudian, A & Zhu, Y 2022, Representing Computational Relations in Knowledge Graphs Using Functional Languages. in T Ishikawa, SI Fabrikant & S Winter (eds), 15th International Conference on Spatial Information Theory (COSIT 2022)., 29, Leibniz International Proceedings in Informatics (LIPIcs), vol. 240, Schloss Dagstuhl, 15th International Conference on Spatial Information Theory, COSIT 2022, Kobe, Japan, 5/09/22. https://doi.org/10.4230/LIPIcs.COSIT.2022.29

Representing Computational Relations in Knowledge Graphs Using Functional Languages. / Qi, Yanmin; Du, Heshan; Farjudian, Amin et al.
15th International Conference on Spatial Information Theory (COSIT 2022). ed. / Toru Ishikawa; Sara Irina Fabrikant; Stephan Winter. Schloss Dagstuhl, 2022. 29 (Leibniz International Proceedings in Informatics (LIPIcs); Vol. 240).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N1 - Funding Information: National Natural Science Foundation of China [grant number 42050101] Publisher Copyright: © 2022 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. All rights reserved.

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Y1 - 2022/8/22

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AB - Knowledge representation is the cornerstone of constructing a geoscience knowledge graph (GKG). The existing representations of spatial and computational relations in GKGs, however, are inadequate. In this paper, we use Dimensionally Extended Nine-Intersection Model (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.

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KW - functional programming

KW - geo-knowledge graph

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M3 - Conference contribution

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T3 - Leibniz International Proceedings in Informatics (LIPIcs)

BT - 15th International Conference on Spatial Information Theory (COSIT 2022)

A2 - Ishikawa, Toru

A2 - Fabrikant, Sara Irina

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T2 - 15th International Conference on Spatial Information Theory, COSIT 2022

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ER -

Representing Computational Relations in Knowledge Graphs Using Functional Languages

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

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