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Modular Ontologies as a Bridge Between Human Conceptualization and Data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ontologies can be viewed as the middle layer between pure human conceptualization and machine readability. However, they have not lived up to their promises so far. Most ontologies are too tailored to specific data and use-cases. By making sometimes strong, or sometimes too weak, ontological commitments, many existing ontologies do not adequatly reflect human conceptualizations. As a result, sharing and reuse of ontologies is greatly inhibited. In order to more effectively preserve this notion of human conceptualization, an ontology should be designed with modularity and extensibility in mind. A modular ontology thus may act as a bridge between human conceptualization and data.
Original languageEnglish
Title of host publicationGraph-Based Representation and Reasoning - 23rd International Conference on Conceptual Structures, ICCS 2018, Proceedings
EditorsAmirouche Moktefi, Francesco Bellucci, Peter Chapman, Sarah Perez-Kriz, Gem Stapleton
PublisherSpringer Verlag
Pages3-6
Number of pages4
ISBN (Print)9783319913780
DOIs
StatePublished - 2018
Event23rd International Conference on Conceptual Structures, ICCS 2018 - Edinburgh, United Kingdom
Duration: Jun 20 2018Jun 22 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10872 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Conceptual Structures, ICCS 2018
Country/TerritoryUnited Kingdom
CityEdinburgh
Period6/20/186/22/18

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

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