@article{oai:kyutech.repo.nii.ac.jp:00007238,
 author = {Nagashima,  Kaoru and Taenaka,  Yuzo and Nagata,  Akira and Tamura,  Hitomi and Tsukamoto, Kazuya and 塚本, 和也 and Lee,  Myung},
 journal = {Advances in Intelligent Systems and Computing},
 month = {Aug},
 note = {We have proposed a concept of new information platform, Geo-Centric information platform (GCIP), that enables IoT data fusion based on geolocation. GCIP produces new and dynamic contents by combining cross-domain data in each geographic area and provides them to users. In this environment, it is difficult to find appropriate contents requested by a user because the user cannot recognize what contents are created in each area beforehand. In this paper, we propose a content discovery method for GCIP. This method evaluates the relevancy between topics specified in user requests and topics representing IoT data used for creating contents, called matching, and presents the candidates for the desired contents based on the relevancy. Simulation results showed that appropriate contents can reliably be discovered in response to user’s request., 12th International Workshop on Information Network Design (WIND-2020), in conjunction with 12th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2020), August 31st - September 2nd, 2020, University of Victoria, Canada（新型コロナ感染拡大に伴い、現地開催中止）},
 pages = {470--479},
 title = {Matching Based Content Discovery Method on Geo-Centric Information Platform},
 volume = {1263},
 year = {2020},
 yomi = {ツカモト, カズヤ}
}