Name
Title | ||
|---|---|---|
Loose Matching Approach Considering The Time Constraint For Spatio-Temporal Content Discovery |
Abstract | ||
|---|---|---|
Cross-domain data fusion is becoming a key driver in the growth of numerous and diverse applications in the IoT era. We have proposed the concept of a new information platform, the Geo-Centric Information Platform (GCIP), that enables IoT data fusion based on geolocation. The GCIP dynamically produces spatio-temporal content (STC) by combining cross-domain data in each geographic area and then provides the STC to users. In this environment, it is difficult to find some particular STC requested by a user because the user cannot determine which STC is created in each area beforehand. Although, in order to address this difficulty, we proposed a content discovery method for GCIP in the previous study, the temporal property of STC was not taken into account, despite the fact that the available (effective) period of each of STC is limited. In the present paper, we propose a new loose matching approach considering the time constraint for STC discovery. Simulation results showed that the proposed method successfully discovered appropriate STC in response to a user request. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-84910-8_31 | ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS-2021) |
DocType | Volume | ISSN |
Conference | 312 | 2367-3370 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shota Akiyoshi | 1 | 0 | 0.34 |
| Yuzo Taenaka | 2 | 0 | 0.34 |
| Kazuya Tsukamoto | 3 | 0 | 0.34 |
| Myung J. Lee | 4 | 115 | 10.36 |