Ontology Engineering for the Autonomous Systems Domain

Julita Bermejo-Alonso, Ricardo Sanz, Manuel Rodríguez, Carlos Hernández

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Ontologies provide a common conceptualisation that can be shared by all stakeholders in an engineering development process. They provide a good means to analyse the domain, allowing to separate descriptive from problem-solving knowledge. Our research programme on autonomous systems considered an ontology as the adequate mechanism to conceptualise the autonomous systems domain, and the software engineering techniques applied to such systems. This paper describes the ontological engineering process of such an ontology: OASys (Ontology for Autonomous Systems). Its development considered different stages: the specification of the requirements to be fulfilled by the ontology; the extraction of the actual features needed to implement the desired requirements; the conceptualisation phase with the design decisions to integrate the different domains, theories and techniques addressed by the ontological elements; and finally, the implementation of the ontology, which integrates both ontology engineering and software engineering approaches by using UML as the implementation language.

Original languageEnglish
Title of host publicationKnowledge Discovery, Knowledge Engineering and Knowledge Management
EditorsA. Fred, J.L.G. Dietz, K. Liu, J. Filipe
PublisherSpringer
Pages263-277
Number of pages15
Volume348
ISBN (Print)9783642371851
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventIC3K 2011: 3rd International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Paris, France
Duration: 26 Oct 201129 Oct 2011

Publication series

NameCommunications in Computer and Information Science
Volume348
ISSN (Print)18650929

Conference

ConferenceIC3K 2011
CountryFrance
CityParis
Period26/10/1129/10/11

Keywords

  • Autonomous systems
  • Knowledge-based engineering
  • Ontological engineering

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