ANSWERING GEOSPARQL QUERIES OVER RELATIONAL DATA

被引:3
|
作者
Bereta, K. [1 ]
Xiao, G. [2 ]
Koubarakis, M. [1 ]
机构
[1] Univ Athens, Dept Informat & Telecommun, Athens, Greece
[2] Free Univ Bozen Bolzano, Bolzano, Italy
来源
FOSS4G-EUROPE 2017 - ACADEMIC TRACK | 2017年 / 42-4卷 / W2期
关键词
GeoSPARQL; RDF; Ontology-based Data Access;
D O I
10.5194/isprs-archives-XLII-4-W2-43-2017
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper we present the system Ontop-spatial that is able to answer GeoSPARQL queries on top of geospatial relational databases, performing on-the-fly GeoSPARQL-to-SQL translation using ontologies and mappings. GeoSPARQL is a geospatial extension of the query language SPARQL standardized by OGC for querying geospatial RDF data. Our approach goes beyond relational databases and covers all data that can have a relational structure even at the logical level. Our purpose is to enable GeoSPARQL querying on-the-fly integrating multiple geospatial sources, without converting and materializing original data as RDF and then storing them in a triple store. This approach is more suitable in the cases where original datasets are stored in large relational databases (or generally in files with relational structure) and/or get frequently updated.
引用
收藏
页码:43 / 50
页数:8
相关论文
共 50 条
  • [1] Answering Why-Not Questions on GeoSPARQL Queries
    Li, Yin
    Li, Bixin
    WEB AND BIG DATA, PT II, APWEB-WAIM 2022, 2023, 13422 : 286 - 300
  • [2] Ontop: Answering SPARQL Queries over Relational Databases
    Calvanese, Diego
    Cogrel, Benjamin
    Komla-Ebri, Sarah
    Kontchakov, Roman
    Lanti, Davide
    Rezk, Martin
    Rodriguez-Muro, Mariano
    Xiao, Guohui
    SEMANTIC WEB, 2017, 8 (03) : 471 - 487
  • [3] ANSWERING NON-MONOTONIC QUERIES IN RELATIONAL DATA EXCHANGE
    Hernich, Andre
    LOGICAL METHODS IN COMPUTER SCIENCE, 2011, 7 (03)
  • [4] Answering Approximate Queries Over XML Data
    Liu, Jian
    Yan, D. L.
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2016, 24 (02) : 288 - 305
  • [5] A Neural Database for Answering Aggregate Queries on Incomplete Relational Data
    Zeighami, Sepanta
    Seshadri, Raghav
    Shahabi, Cyrus
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 36 (07) : 2790 - 2802
  • [6] Answering queries over incomplete data stream histories
    Gray, Alasdair J. G.
    Nutt, Werner
    Williams, M. Howard
    INTERNATIONAL JOURNAL OF WEB INFORMATION SYSTEMS, 2007, 3 (1-2) : 41 - 60
  • [7] Answering Skyline Queries Over Incomplete Data With Crowdsourcing
    Miao, Xiaoye
    Gao, Yunjun
    Guo, Su
    Chen, Lu
    Yin, Jianwei
    Li, Qing
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 33 (04) : 1360 - 1374
  • [8] Answering Skyline Queries over Incomplete Data with Crowdsourcing
    Miao, Xiaoye
    Gao, Yunjun
    Guo, Su
    Chen, Lu
    Yin, Jianwei
    Li, Qing
    2020 IEEE 36TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2020), 2020, : 2032 - 2033
  • [9] A knowledge-based approach for answering fuzzy queries over relational databases
    Ma, Z. M.
    Meng, Xiangfu
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2008, 5178 : 623 - 630
  • [10] Answering ordered tree pattern queries over fuzzy XML data
    Liu, Jian
    Ma, Z. M.
    Feng, Xue
    KNOWLEDGE AND INFORMATION SYSTEMS, 2015, 43 (02) : 473 - 495