SOWL QL: Querying Spatio-Temporal Ontologies in OWL

被引:10
|
作者
Stravoskoufos, Konstantinos [1 ]
Petrakis, Euripides G. M. [1 ]
Mainas, Nikolaos [1 ]
Batsakis, Sotirios [1 ,2 ]
Samoladas, Vasilis [1 ]
机构
[1] Tech Univ Crete, Sch Elect & Comp Engn, Khania, Greece
[2] Univ Huddersfield, Sch Comp & Engn, Dept Informat, Huddersfiled, England
关键词
Query language; Spatio-temporal ontology;
D O I
10.1007/s13740-016-0064-5
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 SOWL QL, a query language for spatio-temporal information in ontologies. Building-upon SOWL (Spatio-Temporal OWL), an ontology for handling spatio-temporal information in OWL, SOWL QL supports querying over qualitative spatio-temporal information (expressed using natural language expressions such as "before", "after", "north of", "south of") rather than merely quantitative information (exact dates, times, locations). SOWL QL extends SPARQL with a powerful set of temporal and spatial operators, including temporal Allen topological, spatial directional and topological operations or combinations of the above. SOWL QL maintains simplicity of expression, and also upward and downward compatibility with SPARQL. Query translation in SOWL QL yields SPARQL queries, implying that querying spatio-temporal ontologies using SPARQL is still feasible but suffers from several drawbacks, the most important of them being that, queries in SPARQL become particularly complicated and users must be familiar with the underlying spatio-temporal representation (the "N-ary relations" or the "4D-fluents" approach in this work). Finally, querying in SOWL QL is supported by the SOWL reasoner which is not part of the standard SPARQL translation. The run-time performance of SOWL QL has been assessed experimentally in a real data setting. A critical analysis of its performance is also presented.
引用
收藏
页码:249 / 269
页数:21
相关论文
共 50 条
  • [1] SOWL: A Framework for Handling Spatio-temporal Information in OWL 2.0
    Batsakis, Sotiris
    Petrakis, Euripides G. M.
    [J]. RULE-BASED REASONING, PROGRAMMING, AND APPLICATIONS, 2011, 6826 : 242 - 249
  • [2] Querying temporal databases via OWL 2 QL
    Klarman, Szymon
    Meyer, Thomas
    [J]. 1600, Springer Verlag (8741): : 92 - 107
  • [3] Querying Temporal Databases via OWL 2 QL
    Klarman, Szymon
    Meyer, Thomas
    [J]. WEB REASONING AND RULE SYSTEMS, RR 2014, 2014, 8741 : 92 - +
  • [4] STOWL: An OWL Extension for Facilitating the Definition of Taxonomies in Spatio-temporal Ontologies
    Salguero, Alberto
    Delgado, Cecilia
    Araque, Francisco
    [J]. VISIONING AND ENGINEERING THE KNOWLEDGE SOCIETY: A WEB SCIENCE PERSPECTIVE, PROCEEDINGS, 2009, 5736 : 336 - 345
  • [5] Spatio-temporal ontologies and attention
    University of Freiburg, Freiburg, Germany
    [J]. Spat. Cogn. Comput., 2007, 1 (13-32):
  • [6] Spatio-temporal querying in video databases
    Koprulu, M
    Cicekli, NK
    Yazici, A
    [J]. INFORMATION SCIENCES, 2004, 160 (1-4) : 131 - 152
  • [7] Querying multigranular spatio-temporal objects
    Camossi, E.
    Bertolotto, M.
    Bertino, E.
    [J]. DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2008, 5181 : 390 - +
  • [8] Querying Uncertain Spatio-Temporal Data
    Emrich, Tobias
    Kriegel, Hans-Peter
    Mamoulis, Nikos
    Renz, Matthias
    Zuefle, Andreas
    [J]. 2012 IEEE 28TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 2012, : 354 - 365
  • [9] Spatio-Temporal Querying in Smart Spaces
    Menon, Vivek
    Jayaraman, Bharat
    Govindaraju, Venu
    [J]. ANT 2012 AND MOBIWIS 2012, 2012, 10 : 366 - 373
  • [10] Spatio-temporal querying in video databases
    Köprülü, M
    Çiçekli, NK
    Yazici, A
    [J]. FLEXIBLE QUERY ANSWERING SYSTEMS, PROCEEDINGS, 2002, 2522 : 251 - 262