AIDMMay 22, 2023

Transforming Geospatial Ontologies by Homomorphisms

arXiv:2305.13135v2
Originality Synthesis-oriented
AI Analysis

This work addresses the integration and transformation of geospatial ontologies for researchers in semantic web or geographic information systems, but it appears incremental as it applies existing algebraic concepts to this domain.

The paper tackles the problem of transforming geospatial ontologies by using homomorphisms to define systems and operations algebraically, resulting in a framework for clustering, merging, and ordering these systems through quotient spaces and embeddings.

In this paper, we study the geospatial ontologies that we are interested in together as a geospatial ontology system, consisting of a set of the geospatial ontologies and a set of geospatial ontology operations, without any internal details of the geospatial ontologies and their operations being needed, algebraically. A homomorphism between two geospatial ontology systems is a function between two sets of geospatial ontologies in the systems, which preserves the geospatial ontology operations. We view clustering a set of the ontologies as partitioning the set or defining an equivalence relation on the set or forming a quotient set of the set or obtaining the surjective image of the set. Each geospatial ontology system homomorphism can be factored as a surjective clustering to a quotient space, followed by an embedding. Geospatial ontology merging systems, natural partial orders on the systems, and geospatial ontology merging closures in the systems are then transformed under geospatial ontology system homomorphisms that are given by quotients and embeddings.

Foundations

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