DartWiki: A Semantic Wiki for Ontology-Based Knowledge Integration in the Biomedical Domain

被引:2
|
作者
Yu, Tong [1 ]
Chen, Huajun [1 ]
Mi, Jinhua [1 ]
Gu, Peiqin [1 ]
Wu, Ting [1 ]
Pan, Jeff Z. [2 ]
机构
[1] Zhejiang Univ, Dept Comp Sci, Hangzhou 310027, Zhejiang, Peoples R China
[2] Univ Aberdeen, Dept Comp Sci, Aberdeen AB24 3UE, Hong Kong, Peoples R China
关键词
Domain ontology; integrated medicine; knowledge management; semantic web; semantic wiki; traditional chinese medicine; TRADITIONAL MEDICINE; ANNOTATION;
D O I
10.2174/157489312802460758
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Semantic Web languages and technologies can be used for the annotation, classification, and organization of knowledge assets and digital artifacts based on biomedical ontologies. In this paper, we present a semantic wiki, named DartWiki, to build ontology-based digital encyclopedia for the biomedicine domain. DartWiki provides a Web-based interface for accessing knowledge artifacts in both per-artifact and per-concept mode. In the per-artifact mode, users can access these artifacts, and annotate them in both short texts and logical statements in terms of domain ontologies. In the concept-based mode, users can navigate a graph of concepts, and review and edit the synthesized page about a selected concept, which contains meaningful information about the concept, and also its related concepts and artifacts. Smooth transitions between the two modes are achieved through semantic links. As a use case of the DartWiki, we provide an open platform for the management and maintenance of digital artifacts in Integrated Medicine. This system provides medical practitioners with relevant and trustworthy knowledge artifacts, and also means to input artifacts, to clarify their meaning, and to check and improve their quality, which encourages the inclusion and participation of users, and effectively creates an online community around knowledge sharing.
引用
收藏
页码:278 / 288
页数:11
相关论文
共 50 条
  • [41] An Ontology-Based Approach for Semantic Conflict Resolution in Database Integration
    Qiang Liu
    Tao Huang
    Shao-Hua Liu
    Hua Zhong
    [J]. Journal of Computer Science and Technology, 2007, 22 : 218 - 227
  • [42] An ontology-based approach for semantic conflict resolution in database integration
    Liu, Qiang
    Huang, Tao
    Liu, Shao-Hua
    Zhong, Hua
    [J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2007, 22 (02) : 218 - 227
  • [43] Ontology-based Semantic Integration Scheme for Medical Image Grid
    Jin, Hai
    Sun, Aobing
    Zheng, Ran
    He, Ruhan
    Zhang, Qin
    [J]. CCGRID 2007: SEVENTH IEEE INTERNATIONAL SYMPOSIUM ON CLUSTER COMPUTING AND THE GRID, 2007, : 127 - +
  • [45] Research on Ontology-based Knowledge Acquisition in the Ship Domain
    Cao, YuLin
    Wang, XiuShan
    Zhang, FengHai
    Yang, WeiHua
    [J]. 2012 FOURTH INTERNATIONAL CONFERENCE ON MULTIMEDIA INFORMATION NETWORKING AND SECURITY (MINES 2012), 2012, : 479 - 482
  • [46] Ontology-based Knowledge Representation for Resolution of Semantic Heterogeneity in GIS
    Liu, Ying
    Xiao, Han
    Wang, Limin
    Han, Jialing
    [J]. NINTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2017), 2017, 10420
  • [47] Ontology-based semantic clustering
    Batet, Montserrat
    [J]. AI COMMUNICATIONS, 2011, 24 (03) : 291 - 292
  • [48] Ontology-based Integration of Heterogeneous and Distributed Information of the Marine Domain
    Tzitzikas, Yannis
    Allocca, Carlo
    Bekiari, Chryssoula
    Marketakis, Yannis
    Fafalios, Pavlos
    Minadakis, Nikos
    [J]. ERCIM NEWS, 2014, (96): : 42 - 43
  • [49] Correlation of Ontology-Based Semantic Similarity and Human Judgement for a Domain Specific Fashion Ontology
    Kalkowski, Edgar
    Sick, Bernhard
    [J]. WEB ENGINEERING (ICWE 2016), 2016, 9671 : 207 - 224
  • [50] Ontology-Based Fragmented Company Knowledge Integration: Possible Approaches
    Smirnov, Alexander
    Shilov, Nikolay
    [J]. BUSINESS INFORMATION SYSTEMS WORKSHOPS (BIS 2018), 2019, 339 : 30 - 37