Ontology has already a rather long history in the computer science. It helps to represent knowledge in the domain of interest and make it available both for humans and machines. For many years, ontologies were mostly considered as an object for academic research, but nowadays they are getting used in a growing number of applications. The suggested paper provides a brief overview of practical ontology implementation in decision support systems. Typical knowledge-intensive tasks were used to organize the overview: one example of a system was provided for each task.
Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
Subtitle of host publicationConference paper
EditorsD.G. Arseniev, L. Overmeyer, H. Kälviäinen, B. Katalinič
PublisherSpringer Nature
Pages19-26
Number of pages8
ISBN (Electronic)9783030349837
ISBN (Print)9783030349820
DOIs
StatePublished - 2020
EventThe L Annual International Scientific Conference on Control Processes and Stability (CPS'2019) - Saint Petersburg, Russian Federation
Duration: 8 Apr 201912 Apr 2019
http://hdl.handle.net/11701/15836

Publication series

NameLecture Notes in Networks and Systems
Volume95
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceThe L Annual International Scientific Conference on Control Processes and Stability (CPS'2019)
Country/TerritoryRussian Federation
CitySaint Petersburg
Period8/04/1912/04/19
Internet address

    Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Computer Networks and Communications

    Research areas

  • Ontology, Ontological approach, Decision support system, management, Knowledge-Intensive tasks, Management

ID: 52337615