Mario Buchmayr, Werner Kurschl, Josef Küng,
"A Rule Based Approach for Mapping Sensor Data to Ontological Models in AAL Environments"
, in S. Castano, P Vassiliadis, L.V. Lakshmanan, M.L. Lee: Advances in Conceptual Modeling - ER 2012 Workshops CMS, ECDM-NoCoDA, MoDIC, MORE-BI, RIGiM, SeCoGIS, WISM, Florence, Italy, October 15-18, 2012. Proceedings, Serie Lecture Notes in Computer Science, Vol. 7518, Springer, Berlin Heidelberg, Seite(n) 3-12, 2012, ISBN: 978-3-642-33998-1
A Rule Based Approach for Mapping Sensor Data to Ontological Models in AAL Environments
Sprache des Titels:
Advances in Conceptual Modeling - ER 2012 Workshops CMS, ECDM-NoCoDA, MoDIC, MORE-BI, RIGiM, SeCoGIS, WISM, Florence, Italy, October 15-18, 2012. Proceedings
Improved sensing technologies and cheap sensor devices facilitate the creation of Ambient Assisted Living (AAL) environments. Whereas the increasing manifoldness of sensing possibilities helps to gain detailed and precise information about the environment, the task of dynamically mapping data from different sensor sources to a processable data model becomes more and more complex. Especially in AAL environments which build upon different sensors and sensor networks, the integration of distinct data sources becomes an issue. Most systems cope with this issue by requiring hand written adapters which encapsulate the device communication as well as the data mapping logic. Within this paper we tackle the problem of mapping perceived sensor data to a formal (ontology-based) model with a semi-automated approach. We split up the mapping in two separate parts: (i) a protocol specific adapter which encapsulates the communication with the sensor device and (ii) a mapping description. The mapping description is specific for each sensor type and defines how the sensed data is mapped to the data model. In addition the mapping description can be used to enrich the data model with additional information, like time and space.