short-paper

A priori ontology modularisation in ill-defined domains

Authors:

Dhavalkumar Thakker,

Vania Dimitrova,

Stan Karanasios,

Fan Yang-TurnerAuthors Info & Claims

I-Semantics '11: Proceedings of the 7th International Conference on Semantic Systems

Pages 167 - 170

https://doi.org/10.1145/2063518.2063541

Published: 07 September 2011 Publication History

Abstract

Modularisation is crucial to create re-usable and manageable ontologies. The modularisation is usually performed a posteriori, i.e. after the ontology is developed, and has been applied mainly to well-structured domains. With the increasing popularity of social media, Semantic web technologies are moving towards ill-defined domains that involve cognitively-complex processes carried out by humans and require tacit knowledge (e.g. decision-making, sensemaking, interpersonal communication, negotiating, motivating). In such domains, a priori modularisation can enable ontology creation to handle the complexity and the dynamic nature of knowledge. This paper outlines an a priori modularisation methodology for multi-layered development of ontologies in ill-defined domains, including an upper ontology layer, high-level and reusable domain layers, and case-specific layers. The methodology is being applied in several use cases in two EU projects -- Dicode and ImREAL.

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Cited By

Cuenca JLarrinaga FCurry E(2020)MODDALS methodology for designing layered ontology structuresApplied Ontology10.3233/AO-200225(1-33)Online publication date: 27-Jan-2020
https://doi.org/10.3233/AO-200225
El Ghosh MNaja HAbdulrab HKhalil M(2018)Application of Ontology Modularization for Building a Criminal Domain OntologyAI Approaches to the Complexity of Legal Systems10.1007/978-3-030-00178-0_27(394-409)Online publication date: 23-Oct-2018
https://doi.org/10.1007/978-3-030-00178-0_27
Khan ZKeet C(2015)An empirically-based framework for ontology modularisationApplied Ontology10.3233/AO-15015110:3-4(171-195)Online publication date: 2-Dec-2015
https://doi.org/10.3233/AO-150151
Show More Cited By

Index Terms

A priori ontology modularisation in ill-defined domains
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
  2. Machine learning
    1. Learning settings
2. Theory of computation
  1. Logic

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Published In

cover image ACM Other conferences

I-Semantics '11: Proceedings of the 7th International Conference on Semantic Systems

September 2011

129 pages

ISBN:9781450306218

DOI:10.1145/2063518

Editors:
Chiara Ghidini
Bruno Kessler Foundation - Italy
,
Axel-Cyrille Ngonga Ngomo
University of Leipzig - Germany
,
Stefanie Lindstaedt
Know Center Graz - Austria
,
Tassilo Pellegrini
Semantic Web Company, Austria

Copyright © 2011 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2011

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Short-paper

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Seventh Framework Programme

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I-Semantics '11

I-Semantics '11: 7th International Conference on Semantic Systems

September 7 - 9, 2011

Graz, Austria

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Cited By

Cuenca JLarrinaga FCurry E(2020)MODDALS methodology for designing layered ontology structuresApplied Ontology10.3233/AO-200225(1-33)Online publication date: 27-Jan-2020
https://doi.org/10.3233/AO-200225
El Ghosh MNaja HAbdulrab HKhalil M(2018)Application of Ontology Modularization for Building a Criminal Domain OntologyAI Approaches to the Complexity of Legal Systems10.1007/978-3-030-00178-0_27(394-409)Online publication date: 23-Oct-2018
https://doi.org/10.1007/978-3-030-00178-0_27
Khan ZKeet C(2015)An empirically-based framework for ontology modularisationApplied Ontology10.3233/AO-15015110:3-4(171-195)Online publication date: 2-Dec-2015
https://doi.org/10.3233/AO-150151
Lau LYang-Turner FKaracapilidis N(2014)Requirements for Big Data Analytics Supporting Decision Making: A Sensemaking PerspectiveMastering Data-Intensive Collaboration and Decision Making10.1007/978-3-319-02612-1_3(49-70)Online publication date: 6-Apr-2014
https://doi.org/10.1007/978-3-319-02612-1_3
Karanasios SThakker DLau LAllen DDimitrova VNorman A(2013)Making sense of digital traces: An activity theory driven ontological approachJournal of the American Society for Information Science and Technology10.1002/asi.2293564:12(2452-2467)Online publication date: 20-Sep-2013
https://doi.org/10.1002/asi.22935
Berthold MSteiner CAlbert D(2012)How to Augment Simulated Environments by Services Supporting Self-Regulated Learning? A Baseline StudyProceedings of the 2012 IEEE 12th International Conference on Advanced Learning Technologies10.1109/ICALT.2012.230(700-701)Online publication date: 4-Jul-2012
https://dl.acm.org/doi/10.1109/ICALT.2012.230
Thakker DDimitrova VLau L(2012)I-CAWProceedings of the 18th international conference on Knowledge Engineering and Knowledge Management10.1007/978-3-642-33876-2_41(434-437)Online publication date: 8-Oct-2012
https://dl.acm.org/doi/10.1007/978-3-642-33876-2_41
Thakker DDespotakis DDimitrova VLau LBrna P(2012)Taming digital traces for informal learningProceedings of the 7th European conference on Technology Enhanced Learning10.1007/978-3-642-33263-0_27(348-362)Online publication date: 18-Sep-2012
https://dl.acm.org/doi/10.1007/978-3-642-33263-0_27

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