Stream-Query Compilation with Ontologies

Özgür Lütfü Özçep, Ralf Möller, Christian Neuenstadt

Abstract

Rational agents perceiving data from a dynamic environment and acting in it have to be equipped with capabilities such as decision making, planning etc. We assume that these capabilities are based on query answering with respect to (high-level) streams of symbolic descriptions, which are grounded in (low-level) data streams. Queries need to be answered w.r.t. an ontology. The central idea is to compile ontology-based stream queries (continuous or historical) to relational data processing technology, for which efficient implementations are available. We motivate our query language STARQL (Streaming and Temporal ontology Access with a Reasoning-Based Query Language) with a sensor data processing scenario, and compare the approach realized in the STARQL framework with related approaches regarding expressivity.

OriginalspracheEnglisch
TitelAI 2015: Advances in Artificial Intelligence
Redakteure/-innenBernhard Pfahringer, Jochen Renz
Seitenumfang7
Band9457
ErscheinungsortCham
Herausgeber (Verlag)Springer International Publishing
Erscheinungsdatum22.11.2015
Seiten457-463
ISBN (Print)978-3-319-26349-6
ISBN (elektronisch)978-3-319-26350-2
DOIs
PublikationsstatusVeröffentlicht - 22.11.2015
Veranstaltung28th Australasian Joint Conference on Artificial Intelligence - Canberra, Australien
Dauer: 30.11.201504.12.2015
Konferenznummer: 157849

DFG-Fachsystematik

  • 409-01 Theoretische Informatik

Fingerprint

Untersuchen Sie die Forschungsthemen von „Stream-Query Compilation with Ontologies“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren