Efforts towards Combining Graphics, Uncertainty, and Semantics: A Survey

Yuan Gao, Muhammad Rafi

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

Abstract

Modeling the real world is a basic but vital task in computer science. Graphics, uncertainty, and semantics are three key aspects of understanding structure and "why" when handling complex relationships with imperfect or unknown information. The combination of the three aspects can provide a systematic and effective method for modeling the real world. This paper presents a survey of the efforts towards combining these aspects. One branch of the efforts is to combine graphics and uncertainty as probabilistic graphical models (PGMs), and then associate PGMs with semantics. The other branch is to combine graphics and semantics as graph-based knowledge representations, and then add the probability to handle uncertainty. We introduce the models and methods involved in these efforts and discuss the expressiveness, pros and cons of them. Finally, we suggest future work in this domain.
Original languageEnglish
Title of host publicationProceedings - 15th International Conference on Semantics, Knowledge and Grids
Subtitle of host publicationOn Big Data, AI and Future Interconnection Environment, SKG 2019
EditorsHai Zhuge, Xiaoping Sun
PublisherIEEE
Pages81-88
Number of pages8
ISBN (Electronic)978-1-7281-5823-5
ISBN (Print)978-1-7281-5824-2
DOIs
Publication statusPublished - 23 Mar 2020
Event2019 15th International Conference on Semantics, Knowledge and Grids (SKG) - Guangzhou, China
Duration: 17 Sep 201918 Sep 2019

Publication series

NameProceedings - 15th International Conference on Semantics, Knowledge and Grids: On Big Data, AI and Future Interconnection Environment, SKG 2019

Conference

Conference2019 15th International Conference on Semantics, Knowledge and Grids (SKG)
Period17/09/1918/09/19

Keywords

  • Graph-based knowledge representation
  • Markov logic network
  • Probabilistic graphical model
  • Probabilistic soft logic
  • Semantic link network
  • Semantic network

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  • Cite this

    Gao, Y., & Rafi, M. (2020). Efforts towards Combining Graphics, Uncertainty, and Semantics: A Survey. In H. Zhuge, & X. Sun (Eds.), Proceedings - 15th International Conference on Semantics, Knowledge and Grids: On Big Data, AI and Future Interconnection Environment, SKG 2019 (pp. 81-88). [9044080] (Proceedings - 15th International Conference on Semantics, Knowledge and Grids: On Big Data, AI and Future Interconnection Environment, SKG 2019). IEEE. https://doi.org/10.1109/SKG49510.2019.00022