lambdaProlog(QS): Functional Spatial Reasoning in Higher Order Logic Programming (Short Paper)

Li, Beidi; Bhatt, Mehul; Schultz, Carl

doi:10.4230/lipics.cosit.2019.26

Cited by 1 publication

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“…λ Prolog(QS) [13] introduces a framework for spatial reasoning within high-order logic programming. The algebraic semantics of spatial relations is implemented using Constraint Handling Rules.…”

Section: Related Workmentioning

confidence: 99%

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Geolog: Scalable Logic Programming on Spatial Data

Grubenmann

Lehmann

2021

Electron. Proc. Theor. Comput. Sci.

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Spatial data is ubiquitous in our data-driven society. The Logic Programming community has been investigating the use of spatial data in different settings. Despite the success of this research, the Geographic Information System (GIS) community has rarely made use of these new approaches. This has mainly two reasons. First, there is a lack of tools that tightly integrate logical reasoning into state-of-the-art GIS software. Second, the scalability of solutions has often not been tested and hence, some solutions might work on toy examples but do not scale well to real-world settings. The two main contributions of this paper are (1) the Relation Based Programming paradigm, expressing rules on relations instead of individual entities, and (2) Geolog, a tool for spatio-logical reasoning that can be installed on top of ArcMap, which is an industry standard GIS. We evaluate our new Relation Based Programming paradigm in four real-world scenarios and show that up to two orders of magnitude in performance gain can be achieved compared to the prevalent Entity Based Programming paradigm.

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Section: Related Workmentioning

confidence: 99%

“…For example, in the Semantic Web community, different solutions for reasoning over spatial data have been proposed [3,12,18]. Meanwhile, in the Logic Programming (LP) community, spatial extensions for LP [8,13] have been explored.…”

Section: Introductionmentioning

confidence: 99%

Geolog: Scalable Logic Programming on Spatial Data

Grubenmann

Lehmann

2021

Electron. Proc. Theor. Comput. Sci.

View full text Add to dashboard Cite

show abstract

lambdaProlog(QS): Functional Spatial Reasoning in Higher Order Logic Programming (Short Paper)

Cited by 1 publication

References 0 publications

Geolog: Scalable Logic Programming on Spatial Data

Geolog: Scalable Logic Programming on Spatial Data

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