Abstract
This paper presents a novel method to generate semantic-based trajectories for indoor moving objects. Indoor moving objects management has been a research focus in recent years. In order to get the trajectory data of indoor moving objects, we have to deply numerous positioning equipments, such as RFID readers and tags. In addition, it is a very complex and costly process to construct different environment settings for various indoor applications. To solve those problems, we propose to use virtual positioning equipments, e.g. RFID readers and tags, to simulate indoor environment. Furthermore, we present a semantic-based approach to generating trajectories for indoor moving objects, which takes into account the type of moving objects, the relationship between moving objects and locations, and the distribution of the trajectories. Compared with previous approaches, our method is more realistic for the simulation of indoor scenarios, and can provide useful trajectory data for further indoor data management analysis. Finally, we design and implement a tool for the generation of semantic-based trajectories for indoor moving objects, and conduct a case study to demonstrate its effectiveness. The results show that it can generate semantic-based trajectories for indoor moving objects according to different parameters and semantic settings.
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.
References
Park, C., Ryu, W., Hong, B.: RFID Middleware Evaluation Toolkit Based on a Virtual Reader Emulator. In: Proc. of the First International Conference on Emerging Databases, pp. 154–157 (2009)
Zhang, H.P., Ryu, W.S., Hong, B.H.: A Test Data Generation Tool for Testing RFID Middleware. In: International Conference on Computers and Industrial Engineering (CIE), Awaji, Japan (2010)
Zhang, H.P., Ryu, W.S., Hong, B.H.: A Graph Model Based Simulation Tool for Generating RFID Streaming Data. In: Du, X., Fan, W., Wang, J., Peng, Z., Sharaf, M.A. (eds.) APWeb 2011. LNCS, vol. 6612, pp. 290–300. Springer, Heidelberg (2011)
Jensen, C.S., Lu, H., Yang, B.: Indexing the Trajectories of Moving Objects in Symbolic Indoor Space. In: Mamoulis, N., Seidl, T., Pedersen, T.B., Torp, K., Assent, I. (eds.) SSTD 2009. LNCS, vol. 5644, pp. 208–227. Springer, Heidelberg (2009)
Jensen, C.S., Lu, H., Yang, B.: Graph Model Based Indoor Tracking. In: Proc. of MDM, pp. 122–131 (2009)
Kolbe, T., Goger, G., Plumer, L.: CityGML: Interoperable Access to 3D City Models. In: Proc. of the First Int. Symposium on Geo-information for Disaster Management, pp. 883–899 (2005)
Dudas, P., Ghafourian, M., Karimi, H.A.: ONALIN: Ontology and Algorithm for Indoor Routing. In: Proc. of MDM, pp. 720–725 (2009)
Kim, H., Jun, C., Yi, H.: A SDBMS-based 2D-3D Hybrid Model for Indoor Routing. In: Proc. of MDM, pp. 726–730 (2009)
Kim, J.-S., Kang, H.-Y., Lee, T.-H., Li, K.-J.: Topology of the Prism Model for 3D Indoor Spatial Objects. In: Proc. of MDM, pp. 698–703 (2009)
Li, D., Lee, D.L.: A Topology-based Semantic Location Model for Indoor Applications. In: Proc. of ACM GIS, Article No. 6 (2008)
Li, D., Lee, D.L.: A Lattice-Based Semantic Location Model for Indoor Navigation. In: Proc. of MDM, Beijing, China, pp. 17–24 (2008)
EPC Tag Data Standard, http://www.gs1.org/sites/default/files/docs/tds/tds_1_5-standard-20100818.pdf (accessed in May 2011)
Rifidi Tag Streamer, http://wiki.rifidi.org/index.php/Tag_Streamer_User%27s_Guide_1.1 (accessed in May 2011)
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
Wang, H., Jin, P., Zhao, L., Zhang, L., Yue, L. (2012). Generating Semantic-Based Trajectories for Indoor Moving Objects. In: Wang, L., Jiang, J., Lu, J., Hong, L., Liu, B. (eds) Web-Age Information Management. WAIM 2011. Lecture Notes in Computer Science, vol 7142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28635-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-28635-3_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28634-6
Online ISBN: 978-3-642-28635-3
eBook Packages: Computer ScienceComputer Science (R0)