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Reasoning for Improved Sensor Data Interpretation in a Smart Home
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-3122-693X
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this paper an ontological representation and reasoning paradigm has been proposed for interpretation of time-series signals. The signals come from sensors observing a smart environment. The signal chosen for the annotation process is a set of unintuitive and complexgas sensor data. The ontology of this paradigm is inspired form the SSNontology (Semantic Sensor Network) and used for representation of both the sensor data and the contextual information. The interpretation process is mainly done by an incremental ASP solver which as input receivesa logic program that is generated from the contents of the ontology. The contextual information together with high level domain knowledge given in the ontology are used to infer explanations (answer sets) for changes in the ambient air detected by the gas sensors.

Place, publisher, year, edition, pages
2014.
Keyword [en]
semantic sensor ontology, non-monotonic reasoning, answer set programming, knowledge representation
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:oru:diva-42209OAI: oai:DiVA.org:oru-42209DiVA: diva2:782999
Conference
ARCOE-Logic 2014, International Workshop on Acquisition, Representation and Reasoning about Context with Logic. November 24-25, 2014. Linköping, Sweden.
Available from: 2015-01-23 Created: 2015-01-23 Last updated: 2017-10-17Bibliographically approved

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No full text

Other links

http://arxiv.org/pdf/1412.7961v1.pdf

Authority records BETA

Alirezaie, MarjanLoutfi, Amy

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Citation style
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  • asciidoc
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