- Tytuł:
- Ontology-based access to temporal data with Ontop: A framework proposal
- Autorzy:
-
Güzel Kalaycı, Elem
Brandt, Sebastian
Calvanese, Diego
Ryzhikov, Vladislav
Xiao, Guohui
Zakharyaschev, Michael - Powiązania:
- https://bibliotekanauki.pl/articles/330542.pdf
- Data publikacji:
- 2019
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
metric temporal logic
ontology based data access
SPARQL query
Ontop platform
logika temporalna
baza danych ontologiczna
język zapytań SPARQL
platforma Ontop - Opis:
- Predictive analysis gradually gains importance in industry. For instance, service engineers at Siemens diagnostic centres unveil hidden knowledge in huge amounts of historical sensor data and use it to improve the predictive systems analysing live data. Currently, the analysis is usually done using data-dependent rules that are specific to individual sensors and equipment. This dependence poses significant challenges in rule authoring, reuse, and maintenance by engineers. One solution to this problem is to employ ontology-based data access (OBDA), which provides a conceptual view of data via an ontology. However, classical OBDA systems do not support access to temporal data and reasoning over it. To address this issue, we propose a framework for temporal OBDA. In this framework, we use extended mapping languages to extract information about temporal events in the RDF format, classical ontology and rule languages to reflect static information, as well as a temporal rule language to describe events. We also propose a SPARQL-based query language for retrieving temporal information and, finally, an architecture of system implementation extending the state-of-the-art OBDA platform Ontop.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2019, 29, 1; 17-30
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł