AIDBAug 27, 2022

A Diversity-Aware Domain Development Methodology

arXiv:2208.13064v18 citationsh-index: 8
Originality Synthesis-oriented
AI Analysis

This work addresses challenges in ontology development for domain modeling, but it appears incremental as it builds on existing methodologies.

The paper tackles the problem of semantic persistency and reuse of ontology concepts in domain development by proposing a diversity-aware methodology, including a pipeline for concept reuse and a minimalistic foundational model, with preliminary validation indicating potential.

The development of domain ontological models, though being a mature research arena backed by well-established methodologies, still suffer from two key shortcomings. Firstly, the issues concerning the semantic persistency of ontology concepts and their flexible reuse in domain development employing existing approaches. Secondly, due to the difficulty in understanding and reusing top-level concepts in existing foundational ontologies, the obfuscation regarding the semantic nature of domain representations. The paper grounds the aforementioned shortcomings in representation diversity and proposes a three-fold solution - (i) a pipeline for rendering concepts reuse-ready, (ii) a first characterization of a minimalistic foundational knowledge model, named foundational teleology, semantically explicating foundational distinctions enforcing the static as well as dynamic nature of domain representations, and (iii) a flexible, reuse-native methodology for diversity-aware domain development exploiting solutions (i) and (ii). The preliminary work reported validates the potentiality of the solution components.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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