Multi-granularity context model for dynamic Web service composition

被引:17
|
作者
Niu, Wenjia [1 ]
Li, Gang [2 ]
Zhao, Zhijun [1 ]
Tang, Hui [1 ]
Shi, Zhongzhi [3 ]
机构
[1] Chinese Acad Sci, Inst Acoust, Beijing 100190, Peoples R China
[2] Deakin Univ, Sch Informat Technol, Geelong, Vic 3125, Australia
[3] Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
Context granularity; Web services; Dynamic service composition; DDL;
D O I
10.1016/j.jnca.2010.07.014
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In order to achieve more flexible and intelligent service composition, the context information should be fully utilized. Although many context-related approaches have been proposed to support the dynamic service composition, the context representation and management remains an open problem. In this paper, we propose a multi-granularity context model which effectively exploits the relationships among different context attributes, together with the corresponding multi-granularity context management approach to strengthen the flexibility and intelligence of dynamic service composition. The proposed multi-granularity context model makes it possible to achieve dynamic service composition through logical reasoning. A case study together with comparison analysis are presented to illustrate the validity of our approach. (c) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:312 / 326
页数:15
相关论文
共 50 条
  • [21] Clustering web documents using hierarchical representation with multi-granularity
    Faliang Huang
    Shichao Zhang
    Minghua He
    Xindong Wu
    [J]. World Wide Web, 2014, 17 : 105 - 126
  • [22] Dynamic multi-granularity locking for coordinating cooperative activities
    Kim, K
    Moon, S
    [J]. JOURNAL OF SYSTEMS ARCHITECTURE, 1997, 44 (02) : 131 - 142
  • [23] Clustering web documents using hierarchical representation with multi-granularity
    Huang, Faliang
    Zhang, Shichao
    He, Minghua
    Wu, Xindong
    [J]. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2014, 17 (01): : 105 - 126
  • [24] Multi-Granularity Context Network for Efficient Video Semantic Segmentation
    Liang, Zhiyuan
    Dai, Xiangdong
    Wu, Yiqian
    Jin, Xiaogang
    Shen, Jianbing
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 32 : 3163 - 3175
  • [25] Research on modeling and scheduling method of multi-granularity manufacturing service
    Peng, Gongzhuang
    Wu, Youqi
    He, Anrui
    [J]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 5 (80-85): : 80 - 85
  • [26] Multi-granularity Pruning for Model Acceleration on Mobile Devices
    Zhao, Tianli
    Zhang, Xi Sheryl
    Zhu, Wentao
    Wang, Jiaxing
    Yang, Sen
    Liu, Ji
    Cheng, Jian
    [J]. COMPUTER VISION, ECCV 2022, PT XI, 2022, 13671 : 484 - 501
  • [27] H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search
    Chu, Xiaokai
    Zhao, Jiashu
    Zou, Lixin
    Yin, Dawei
    [J]. PROCEEDINGS OF THE 45TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '22), 2022, : 1478 - 1489
  • [28] Multi-granularity semantic representation model for relation extraction
    Lei, Ming
    Huang, Heyan
    Feng, Chong
    [J]. NEURAL COMPUTING & APPLICATIONS, 2021, 33 (12): : 6879 - 6889
  • [29] Multi-Granularity Partial Encryption Method of CAD Model
    Cai, X. T.
    He, F. Z.
    Li, W. D.
    Li, X. X.
    Wu, Y. Q.
    [J]. PROCEEDINGS OF THE 2013 IEEE 17TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2013, : 23 - 30
  • [30] Dynamic routing and wavelength assignment in multi-granularity WDM networks
    Zhang, Yu
    Xu, Anshi
    Wu, Deming
    [J]. PHOTONIC NETWORK COMMUNICATIONS, 2007, 13 (03) : 267 - 276