International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Event-Based Ontologies: A Comparison Review

  • Ashour Ali (Universiti Kebangsaan Malaysia (UKM), Faculty of Information Science & Technology (FTSM)) ;
  • Shahrul Azman Mohd Noah (Universiti Kebangsaan Malaysia (UKM), Faculty of Information Science & Technology (FTSM)) ;
  • Lailatul Qadri Zakaria (Universiti Kebangsaan Malaysia (UKM), Faculty of Information Science & Technology (FTSM))
  • Received : 2023.05.05
  • Published : 2023.05.30
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Abstract

Ontologies are knowledge containers in which information about a specified domain can be shared and reused. An event happens within a specific time and place and in which some actors engage and show specific action features. The fact is that several ontology models are based on events called Event-Based Models, where the event is an individual entity or concept connected with other entities to describe the underlying ontology because the event can be composed of spatiotemporal extents. However, current event-based ontologies are inadequate to bridge the gap between spatiotemporal extents and participants to describe a specific domain event. This paper reviews, describes, and compares the existing event-based ontologies. The paper compares and contrasts various ways of representing the events and how they have been modelled, constructed, and integrated with the ontologies. The primary criterion for comparison is based on the events' ability to represent spatial and temporal extent and the participants in the event.

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References

  1. Kharbat, F. and H. El-Ghalayini, Building Ontology from Knowledge Base Systems. 2008. 
  2. Gruber, T.R., A translation approach to portable ontology specifications. Knowledge Acquisition, 1993. 5(2): p. 199-220.  https://doi.org/10.1006/knac.1993.1008
  3. Lubani, M., S.A.M. Noah, and R. Mahmud, Ontology population: Approaches and design aspects. Journal of Information Science, 2019. 45(4): p. 502-515.  https://doi.org/10.1177/0165551518801819
  4. Jalil, M., et al., Knowledge Representation Model for Crime Analysis. Procedia Computer Science, 2017. 116: p. 484-491.  https://doi.org/10.1016/j.procs.2017.10.067
  5. Van Heijst, G., A.T. Schreiber, and B.J. Wielinga, Using explicit ontologies in KBS development. International journal of human-computer studies, 1997. 46(2-3): p. 183-292.  https://doi.org/10.1006/ijhc.1996.0090
  6. Guarino, N., Formal ontology in information systems: Proceedings of the first international conference (FOIS'98), June 6-8, Trento, Italy. Vol. 46. 1998: IOS press. 
  7. Lassila, O. and D. McGuinness, The role of frame-based representation on the semantic web. Linkoping Electronic Articles in Computer and Information Science, 2001. 6(5): p. 2001. 
  8. Astrova, I., et al., Ontologies for complex event processing. 2014. 
  9. Malik, S. and S. Jain, Sup_Ont: an upper ontology. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2021. 16(3): p. 79-99.  https://doi.org/10.4018/IJWLTT.20210501.oa6
  10. Li, H., et al., Research on Knowledge Organization and Visualization of Historical Events in the Republic of China Era. Library Trends, 2020. 69(1): p. 138-163. https://doi.org/10.1353/lib.2020.0023
  11. Willem, v.H.V., Malaise ; Roxane, Segers ; Laura, Hollink ; Guus, Schreiber. The Simple Event Model Ontology. 2009 [cited 2021 09/07/2021 09:40]; Available from: https://semanticweb.cs.vu.nl/2009/11/sem/. 
  12. Shaw, R.T., R.; Hardman, L. LODE: An Ontology for Linking Open Descriptions of Events. 2009 [cited 2021 28/06/2021 03:15]; Available from: http://linkedevents.org/ontology/. 
  13. Jeremy, T.T., Hodgkinson. Core Concepts Ontology. 2019 [cited 2021 09/07/2021 09:45]; Available from: https://www.bbc.co.uk/ontologies/coreconcepts. 
  14. Raimond, Y. and S. Abdallah. The Event Ontology. 2007 [cited 2021 24/06/2021 22:31]; Available from: http://motools.sourceforge.net/event/event.html. 
  15. Ma, M., et al., Ontology-Based Event Modeling and High-Confidence Processing in IoT-Enabled High-Speed Train Control System. Journal of Signal Processing Systems, 2021. 93(2): p. 155-167.  https://doi.org/10.1007/s11265-020-01524-3
  16. Scherp, A., et al. F--a model of events based on the foundational ontology dolce+ DnS ultralight. in Proceedings of the fifth international conference on Knowledge capture. 2009. 
  17. OpenCyc.org. 2011 [cited 2021 02/07/2021 08:05 ]; Available from: http://opencyc.org/. 
  18. Raimond, Y., et al., The Music Ontology. 2007.
  19. Raimond, Y., et al. The Music Ontology. in ISMIR. 2007. Citeseer. 
  20. Van Hage, W.R., et al., Design and use of the Simple Event Model (SEM). Journal of Web Semantics, 2011. 9(2): p. 128-136.  https://doi.org/10.1016/j.websem.2011.03.003
  21. Carnaz, G., V.B. Nogueira, and M. Antunes. Knowledge Representation of Crime-Related Events: a Preliminary Approach. in SLATE. 2019. 
  22. Rodrigues, M., R. Rocha Silva, and J. Bernardino, Linking Open Descriptions of Social Events (LODSE): A new ontology for social event classification. Information, 2018. 9(7): p. 164. 
  23. Kenneth D. Forbus, N.U. A Brief Introduction to the OpenCyc Ontology 2019 Version of 1/7/19 Available from: https://www.qrg.northwestern.edu/nextkb/IntroOpenCycOnt.pdf. 
  24. Wang, W., et al. The study and application of crime emergency ontology event model. in International Conference on Knowledge-Based and Intelligent Information and Engineering Systems. 2005. Springer.