A*DAX: A Platform for Cross-Domain Data Linking, Sharing and Analytics

被引:0
|
作者
Amudha, Narayanan [1 ]
Chua, Gim Guan [1 ]
Foo, Eric Siew Khuan [1 ]
Goh, Shen Tat [1 ]
Guo, Shuqiao [1 ]
Lim, Paul Min Chim [1 ]
Mak, Mun-Thye [1 ]
Munshi, Muhammad Cassim Mahmud [1 ]
Ng, See-Kiong [1 ]
Ng, Wee Siong [1 ]
Wu, Huayu [1 ]
机构
[1] ASTAR, Inst Infocomm Res, Singapore, Singapore
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We introduce the A*STAR Data Analytics and Exchange Platform ("A* DAX"), which is the backbone data platform for different programs and projects under the Urban Systems Initiative launched by the Agency for Science, Technology and Research in Singapore. The A*DAX aims to provide a centralized system for public and private sectors to manage and share data; meanwhile, it also provides basic data analytics and visualization functions for authorized parties to consume data. A*DAX is also a channel for developers to develop innovative applications based on real data to improve urban services. In this paper, we focus on presenting the platform components that address challenges in data integration and processing. In particular, the A*DAX platform needs to dynamically fuse heterogeneous data from unpredictable sources, which makes traditional data integration mechanisms hard to be applied. Also, the platform needs to process data with different dynamics (i.e., database vs. data stream) in large scale. In our design, we use a semantic approach to handle data fusion and integration problems, and propose a hybrid architecture to process static and dynamic data to answer queries at the same time. Other issues about the A*DAX platform, e. g., security and privacy, are not covered in this paper.
引用
收藏
页码:493 / 502
页数:10
相关论文
共 50 条
  • [31] A Cross-Domain Data Security Sharing Approach for Edge Computing based on CP-ABE
    Li, Jiacong
    Lv, Hang
    Lei, Bo
    2022 23RD ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2022), 2022, : 31 - 36
  • [32] Cross-Domain Neurobiology Data Integration and Exploration
    Xuan, Weijian
    Dai, Manhong
    Josh, Buckner
    Mirel, Barbara
    Song, Jean
    Athey, Brian
    Watson, Stanley J.
    Meng, Fan
    2009 INTERNATIONAL JOINT CONFERENCE ON BIOINFORMATICS, SYSTEMS BIOLOGY AND INTELLIGENT COMPUTING, PROCEEDINGS, 2009, : 37 - +
  • [33] Cross-domain neurobiology data integration and exploration
    Weijian Xuan
    Manhong Dai
    Josh Buckner
    Barbara Mirel
    Jean Song
    Brian Athey
    Stanley J Watson
    Fan Meng
    BMC Genomics, 11
  • [34] Modeling Treatment Effect with Cross-Domain Data
    Han, Bin
    Zhang, Ya-Lin
    Yu, Lu
    Chen, Biying
    Li, Longfei
    Zhou, Jun
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT I, PAKDD 2024, 2024, 14645 : 365 - 377
  • [35] Cross-domain neurobiology data integration and exploration
    Xuan, Weijian
    Dai, Manhong
    Buckner, Josh
    Mirel, Barbara
    Song, Jean
    Athey, Brian
    Watson, Stanley J.
    Meng, Fan
    BMC GENOMICS, 2010, 11
  • [36] ProXL (Protein Cross-Linking Database): A Platform for Analysis, Visualization, and Sharing of Protein Cross-Linking Mass Spectrometry Data
    Riffle, Michael
    Jaschob, Daniel
    Zelter, Alex
    Davis, Trisha N.
    JOURNAL OF PROTEOME RESEARCH, 2016, 15 (08) : 2863 - 2870
  • [37] Data Poisoning Attacks on Cross-domain Recommendation
    Chen, Huiyuan
    Li, Jing
    PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19), 2019, : 2177 - 2180
  • [38] GReS: Graphical Cross-domain Recommendation for Supply Chain Platform
    Jing, Zhiwen
    Zhao, Ziliang
    Feng, Yang
    Ma, Xiaochen
    Wu, Nan
    Kang, Shengqiao
    Yang, Cheng
    Zhang, Yujia
    Guo, Hao
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2022, 2022, : 4094 - 4098
  • [39] Cross-Domain NER using Cross-Domain Language Modeling
    Jia, Chen
    Liang, Xiaobo
    Zhang, Yue
    57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019), 2019, : 2464 - 2474
  • [40] Cross-Domain Labeled LDA for Cross-Domain Text Classification
    Jing, Baoyu
    Lu, Chenwei
    Wang, Deqing
    Zhuang, Fuzhen
    Niu, Cheng
    2018 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2018, : 187 - 196