Virtual Reality Ontology Object Manipulation (VROOM)

被引:0
作者
Vinnikov, Margarita [1 ]
Vergilis, Daniel [1 ]
Oran, Uras [1 ]
Geller, James [2 ]
机构
[1] New Jersey Inst Technol, Dept Informat, Newark, NJ 07102 USA
[2] New Jersey Inst Technol, Dept Data Sci, Newark, NJ 07102 USA
来源
HEALTHINF: PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - VOL 5: HEALTHINF | 2021年
关键词
Virtual Reality; 3D; Medical Ontology; ABSTRACTION NETWORKS;
D O I
10.5220/0010787700003123
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Biomedical ontologies are considered important repositories of knowledge about the medical domain and related fields. They are best thought of as node-link networks, where each node represents one single (medical) concept and links express binary relationships between pairs of concepts. The most important relationship ("IS-A") is used to form a generalization hierarchy among the concepts. Visualizing and manipulating such a network when it includes more than a few hundred nodes can be challenging. This paper presents a new system called VROOM (Virtual Reality Ontology Object Manipulation) that supports browsing and interaction with a biomedical ontology in a virtual 3-D space, enabling more natural and realistic interaction with and navigation through the ontology network.
引用
收藏
页码:361 / 368
页数:8
相关论文
共 24 条
  • [1] Chuah S. H. W., 2018, Literature Review, Synthesis, and Future Research Agenda
  • [2] codemeariver, 2017, MAK SNIP SCOP VR
  • [3] ElSayed NAM, 2015, 2015 BIG DATA VISUAL ANALYTICS (BDVA)
  • [4] Spatial Analytic Interfaces: Spatial User Interfaces for In Situ Visual Analytics
    Ens, Barrett
    Irani, Pourang
    [J]. IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2017, 37 (02) : 66 - 79
  • [5] Ens B, 2014, 32ND ANNUAL ACM CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2014), P3171
  • [6] Facebook Technologies, IMP OC INT PACK
  • [7] Artificial Landmarks to Facilitate Spatial Learning and Recalling for Curved Visual Wall Layout in Virtual Reality
    Gao, BoYu
    Kim, HyungSeok
    Kim, Byungmoon
    Kim, Jee-In
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP), 2018, : 475 - 482
  • [8] Abstraction networks for terminologies: Supporting management of "big knowledge"
    Halper, Michael
    Gu, Huanying
    Perl, Yehoshua
    Ochs, Christopher
    [J]. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2015, 64 (01) : 1 - 16
  • [9] CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis
    He, Yongqun
    Yu, Hong
    Ong, Edison
    Wang, Yang
    Liu, Yingtong
    Huffman, Anthony
    Huang, Hsin-hui
    Beverley, John
    Hur, Junguk
    Yang, Xiaolin
    Chen, Luonan
    Omenn, Gilbert S.
    Athey, Brian
    Smith, Barry
    [J]. SCIENTIFIC DATA, 2020, 7 (01)
  • [10] The hyperbolic browser: A focus plus context technique for visualizing large hierarchies
    Lamping, J
    Rao, R
    [J]. JOURNAL OF VISUAL LANGUAGES AND COMPUTING, 1996, 7 (01) : 33 - 55