| Presentation | 2014-03-08 Considering Common Data Model for Indoor Location-aware Services Long NIU, Shinsuke MATSUMOTO, Sachio SAIKI, Masahide NAKAMURA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, research and development have been conducted on the Indoor Positioning System (IPS), which identifies locations of various indoor objects. The indoor location is promising to achieve sophisticated Indoor Location-Aware Services (InLAS), and some practical services come onto market. However, the conventional system does not supposed to reuse the data and program of the indoor locations of another system. This makes the system complex and difficult to manage. To cope with the problem, this paper presents Data Model for Indoor Location (DM4InL), which prescribes a common data model independent of implementation of IPS or the usage of InLAS. The proposed DM4InL represents the location of every indoor object in a standard way, by using three kinds of models: position, building and object models. The proposed method achieves loose-coupling of InLAS and IPS, which significantly improves the efficiency and reusability in the InLAS development. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | indoor positioning system / location information / data modeling / location-aware service / API |
| Paper # | LOIS2013-71 |
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| Conference Information | |
| Committee | LOIS |
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| Conference Date | 2014/2/28(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Life Intelligence and Office Information Systems (LOIS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Considering Common Data Model for Indoor Location-aware Services |
| Sub Title (in English) | |
| Keyword(1) | indoor positioning system |
| Keyword(2) | location information |
| Keyword(3) | data modeling |
| Keyword(4) | location-aware service |
| Keyword(5) | API |
| 1st Author's Name | Long NIU |
| 1st Author's Affiliation | Kobe University() |
| 2nd Author's Name | Shinsuke MATSUMOTO |
| 2nd Author's Affiliation | Kobe University |
| 3rd Author's Name | Sachio SAIKI |
| 3rd Author's Affiliation | Kobe University |
| 4th Author's Name | Masahide NAKAMURA |
| 4th Author's Affiliation | Kobe University |
| Date | 2014-03-08 |
| Paper # | LOIS2013-71 |
| Volume (vol) | vol.113 |
| Number (no) | 479 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |