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Modular Structures and Atomic Decomposition in Ontologies
Author(s) -
Chiara Del Vescovo,
Matthew Horridge,
Bijan Parsia,
Ulrike Sattler,
Thomas Schneider,
Haoruo Zhao
Publication year - 2020
Publication title -
journal of artificial intelligence research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.79
H-Index - 123
eISSN - 1943-5037
pISSN - 1076-9757
DOI - 10.1613/jair.1.12151
Subject(s) - modular design , computer science , ontology , set (abstract data type) , decomposition , theoretical computer science , locality , information retrieval , software engineering , programming language , chemistry , philosophy , linguistics , organic chemistry , epistemology
With the growth of ontologies used in diverse application areas, the need for module extraction and modularisation techniques has risen. The notion of the modular structure of an ontology, which comprises a suitable set of base modules together with their logical dependencies, has the potential to help users and developers in comprehending, sharing, and maintaining an ontology. We have developed a new modular structure, called atomic decomposition (AD), which is based on modules that provide strong logical properties, such as locality-based modules. In this article, we present the theoretical foundations of AD, review its logical and computational properties, discuss its suitability as a modular structure, and report on an experimental evaluation of AD. In addition, we discuss the concept of a modular structure in ontology engineering and provide a survey of existing decomposition approaches.

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