A Web Interface for Exploiting Spatio-Temporal Heterogeneous Data

被引:1
|
作者
Tran, Ba-Huy [1 ]
Plumejeaud-Perreau, Christine [2 ,3 ]
Bouju, Alain [1 ]
机构
[1] Univ La Rochelle, L3i Lab, La Rochelle, France
[2] CNRS, UMR 7266, LIENSs Lab, La Rochelle, France
[3] Univ La Rochelle, La Rochelle, France
关键词
Spatio-temporal; Heterogeneous data; Data integration; Ontology;
D O I
10.1007/978-3-319-90053-7_12
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, in several domains, data can be available from a multitude of sources using many models. Because of their heterogeneity, it is difficult to retrieve, combine and exploit this information. We present in this paper a Web interface for exploiting spatio-temporal heterogeneous data. The system is based on semantic data integration process using a materialization approach. A mechanism is proposed to enriched the knowledge base with spatio-temporal rules and experts knowledge. The system can be applied for various scenarios, and we illustrate this with two of our projects.
引用
收藏
页码:118 / 129
页数:12
相关论文
共 50 条
  • [1] Exploiting spatio-temporal correlations for data processing in sensor networks
    Deligiannakis, Antonios
    Kotidis, Yannis
    GEOSENSOR NETWORKS, 2008, 4540 : 45 - +
  • [2] Spatio-Temporal Normalization of Data from Heterogeneous Sensors
    Fanelli, Alessio
    Micucci, Daniela
    Mobilio, Marco
    Tisato, Francesco
    2015 10TH INTERNATIONAL JOINT CONFERENCE ON SOFTWARE TECHNOLOGIES (ICSOFT), VOL 1, 2015, : 462 - 467
  • [3] Spatio-Temporal Frequent Itemset Mining on Web Data
    Aggarwal, Apeksha
    Toshniwal, Durga
    2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2018, : 1160 - 1165
  • [4] Spatio-Temporal Gridded Data Processing on the Semantic Web
    Andrejev, Andrej
    Misev, Dimitar
    Baumann, Peter
    Risch, Tore
    2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND DATA INTENSIVE SYSTEMS, 2015, : 38 - 45
  • [5] Exploiting spatio-temporal data for the multiobjective optimization of cellular automata models
    Trunfio, Giuseppe A.
    INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2006, PROCEEDINGS, 2006, 4224 : 81 - 89
  • [6] A Spatio-Temporal Linked Data Representation for Modeling Spatio-Temporal Dialect Data
    Scholz, Johannes
    Hrastnig, Emanual
    Wandl-Vogt, Eveline
    PROCEEDINGS OF WORKSHOPS AND POSTERS AT THE 13TH INTERNATIONAL CONFERENCE ON SPATIAL INFORMATION THEORY (COSIT 2017), 2018, : 275 - 282
  • [7] HOMOGENEOUS GEOVISUALIZATION OF COASTAL AREAS FROM HETEROGENEOUS SPATIO-TEMPORAL DATA
    Masse, A.
    Christophe, S.
    ISPRS GEOSPATIAL WEEK 2015, 2015, 40-3 (W3): : 509 - 516
  • [8] Combining heterogeneous data sources for spatio-temporal mobility demand forecasting
    Prado-Rujas, Ignacio-Iker
    Serrano, Emilio
    Garcia-Dopico, Antonio
    Cordoba, M. Luisa
    Perez, Maria S.
    INFORMATION FUSION, 2023, 91 : 1 - 12
  • [9] A Hybrid Method for Interpolating Missing Data in Heterogeneous Spatio-Temporal Datasets
    Deng, Min
    Fan, Zide
    Liu, Qiliang
    Gong, Jianya
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2016, 5 (02)
  • [10] Mining spatio-temporal data
    Gennady Andrienko
    Donato Malerba
    Michael May
    Maguelonne Teisseire
    Journal of Intelligent Information Systems, 2006, 27 : 187 - 190