The Open UniversitySkip to content

Bridging between sensor measurements and symbolic ontologies through conceptual spaces

Dietze, Stefan and Domingue, John (2009). Bridging between sensor measurements and symbolic ontologies through conceptual spaces. In: 1st International Workshop on the Semantic Sensor Web (SemSensWeb 2009) at The 6th Annual European Semantic Web Conference (ESWC 2009), 1 Jun 2009, Heraklion, Crete, Greece.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (615kB)
Google Scholar: Look up in Google Scholar


The increasing availability of sensor data through a variety of sensor-driven devices raises the need to exploit the data observed by sensors with the help of formally specified knowledge representations, such as the ones provided by the Semantic Web. In order to facilitate such a Semantic Sensor Web, the challenge is to bridge between symbolic knowledge representations and the measured data collected by sensors. In particular, one needs to map a given set of arbitrary sensor data to a particular set of symbolic knowledge representations, e.g. ontology instances. This task is particularly challenging due to the potential infinite variety of possible sensor measurements. Conceptual Spaces (CS) provide a means to represent knowledge in geometrical vector spaces in order to enable computation of similarities between knowledge entities by means of distance metrics. We propose an ontology for CS which allows to refine symbolic concepts as CS and to ground instances to so-called prototypical members described by vectors. By computing similarities in terms of spatial distances between a given set of sensor measurements and a finite set of prototypical members, the most similar instance can be identified. In that, we provide a means to bridge between the real-world as observed by sensors and symbolic representations. We also propose an initial implementation utilizing our approach for measurement-based Semantic Web Service discovery.

Item Type: Conference or Workshop Item
Copyright Holders: 2009 The Authors
Keywords: sensor data; conceptual spaces; semantic sensor web; vector spaces
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 23023
Depositing User: Kay Dave
Date Deposited: 22 Sep 2010 11:50
Last Modified: 14 Jan 2019 19:48
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU