Abstract
In order to discover useful knowledge from a large amount of data observed by many sensors which will be installed inside or outside of buildings and houses, first, a product model was developed, based on IFC. Next, a sensor data model was developed, based on NEES Reference Data Model. Then, these data models were integrated. After developing the integrated data model, sensor monitoring was executed at an office of Osaka University, and a product data of the office was made. The monitoring data and the product data were stored in accordance with the integrated data model, and data mining was successfully performed for knowledge discovery.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Yabuki, N.: An intelligent framework for knowledge discovery from a large amount of data in SHM. In: Proceedings of the World Forum on Smart Materials and Smart Structures Technology, Chongquing, China (2007)
Pen, J., Law, K.H.: Reference NEESgrid Data Model, Technical Report NEESgrid-2004-40 (2004)
Yabuki, N., Yoshida, Y.: A data model for storing a large amount of sensor data. In: Proceedings of the First Asia-Pacific Workshop on Structural Health Monitoring, Yokohama, Japan, Paper No.36, pp. 1–8 (2006)
Russomanno, D.J., Kothari, C.R., Thomas, O.A.: Building a sensor ontology: a practical approach leveraging. In: The 2005 International Conference on Artificial Intelligence, Las Vegas, NV (2005)
Yoshida, Y., Yabuki, N.: Integration of sensor and structural data models toward data mining. Journal of Applied Computing in Civil Engineering 18, 185–192 (2009) (in Japanese)
Yoshida, Y., Yabuki: Development of an integrated building and sensor data model with contextual data for data mining. In: Proceedings of the 13th International Conference on Computing in Civil and Building Engineering, Nottingham, UK, Paper 220, pp. 1–6 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yabuki, N., Ashida, Y., Fukuda, T. (2012). Cooperative Integration of Product Model and Sensor Data Model for Knowledge Discovery. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2012. Lecture Notes in Computer Science, vol 7467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32609-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-32609-7_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32608-0
Online ISBN: 978-3-642-32609-7
eBook Packages: Computer ScienceComputer Science (R0)