Fine-grained Configuration Management for Collaborative Ontology Development

被引:0
|
作者
Yang, Tao [1 ]
Wu, Yijian [1 ]
Peng, Xin [1 ]
Zhao, Wenyun [1 ]
机构
[1] Fudan Univ, Sch Comp Sci, Shanghai 200433, Peoples R China
来源
2011 35TH IEEE ANNUAL INTERNATIONAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC) | 2011年
关键词
ontology; configuration management; fine-grained;
D O I
10.1109/COMPSAC.2011.37
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Fine-grained software configuration management has been proven to offer substantial benefits for software development in many fields, overcoming developmental problems, such as complexity management and support for communication and coordination, among others. The same problems exist in a collaborative ontology development environment that uses a simple versioning and configuration management system. The author presents a general mechanism to support hierarchy versioning and configuration item management in collaborative ontology development. This fine-grained configuration management mechanism can help solve collaborative developmental problems. An implementation system is presented to illustrate the capability and efficiency of this mechanism.
引用
收藏
页码:230 / 238
页数:9
相关论文
共 50 条
  • [1] Fine-Grained ICD Code Assignment Using Ontology-Based Classification
    Carberry, Joshua
    Xu, Haiping
    2022 IEEE 23RD INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION FOR DATA SCIENCE (IRI 2022), 2022, : 228 - 233
  • [2] Development of an Ontology-Based Configuration Management System
    Na-Lampang, Naratich
    Vatanawood, Wiwat
    2016 8TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI), 2016,
  • [3] A Fine-grained Parameter Configuration Model for Failure Detection in Overlay Network Systems
    Cao, Jijun
    Su, Jinshu
    Wang, Yongjun
    Sun, Zhigang
    2008 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND INFORMATION TECHNOLOGY, PROCEEDINGS, 2008, : 580 - 585
  • [4] Fine-Grained Emotion Analysis of Online Comments Based on the Fusion of Ontology and Deep Learning
    Zhai X.
    An Y.
    Long Y.
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2023, 46 (05): : 125 - 131
  • [5] On Fine-Grained Geolocalisation of Tweets
    Paule, Jorge David Gonzalez
    Moshfeghi, Yashar
    Jose, Joemon M.
    Thakuriah, Piyushimita
    ICTIR'17: PROCEEDINGS OF THE 2017 ACM SIGIR INTERNATIONAL CONFERENCE THEORY OF INFORMATION RETRIEVAL, 2017, : 313 - 316
  • [6] MINE THE FINE: FINE-GRAINED FRAGMENT DISCOVERY
    Kiapour, M. Hadi
    Di, Wei
    Jagadeesh, Vignesh
    Piramuthu, Robinson
    2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, : 3555 - 3559
  • [7] Efficient fine-grained shared buffer management for multiple OpenCL devices
    Chang-qing XUN
    Dong CHEN
    Qiang LAN
    Chun-yuan ZHANG
    Frontiers of Information Technology & Electronic Engineering, 2013, (11) : 859 - 872
  • [8] Efficient fine-grained shared buffer management for multiple OpenCL devices
    Xun, Chang-qing
    Chen, Dong
    Lan, Qiang
    Zhang, Chun-yuan
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS, 2013, 14 (11): : 859 - 872
  • [9] Integrating Ontology-Based Approaches with Deep Learning Models for Fine-Grained Sentiment Analysis
    Zhao, Longgang
    Lee, Seok-Won
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 81 (01): : 1855 - 1877
  • [10] Efficient fine-grained shared buffer management for multiple OpenCL devices
    Chang-qing Xun
    Dong Chen
    Qiang Lan
    Chun-yuan Zhang
    Journal of Zhejiang University SCIENCE C, 2013, 14 : 859 - 872