Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

SOWL QL: querying spatio-temporal ontologies in OWL

Stravoskoufos Konstantinos, Petrakis Evripidis, Mainas Nikolaos, Batsakis Sotirios, Samoladas Vasilis

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/F53CA0D2-FC9D-4CBD-9D96-33ED5F0BD398
Έτος 2016
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά K. Stravoskoufos, E. G. M. Petrakis, N. Mainas, S. Batsakis and V. Samoladas, "SOWL QL: querying spatio-temporal ontologies in OWL," J. Data Semant., vol. 5, no. 4, pp. 249-269, Dec. 2016. doi: 10.1007/s13740-016-0064-5 https://doi.org/10.1007/s13740-016-0064-5
Εμφανίζεται στις Συλλογές

Περίληψη

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.

Υπηρεσίες

Στατιστικά