과제정보
본 논문은 과학기술정보통신부 및 정보통신기술진흥센터의 대학 ICT 연구센터지원사업의 연구결과로 수행되었으며(IITP-2021-2018-0-01417), 또한 2020년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원(No.2020-0-00121, 데이터 품질 평가기반 데이터 고도화 및 데이터셋 보정 기술 개발)을 받아 수행된 연구임.
참고문헌
- Bleiholder, Jens, and Felix, N., "Data fusion," ACM computing surveys (CSUR), Vol. 41, No. 1, pp. 1-41, 2009. https://doi.org/10.1145/1456650.1456651
- Chang, T. W., "A Study on Integration and Application Plans of Address and Location Information," The Journal of Society for e-Business Studies, Vol. 15, No. 2, pp. 93-105, 2010.
- Cho, S. R. and Kim, H. J., "A Preliminary Study on Improving Korean Text Embedding Model," Proceedings of KICS Winter Conference, 2020.
- Cho, S. R. and Kim, H. J., "Topic Re-modeling System using Node2Vec," Proceedings of Fall Conference of 2020 Korea Associations of Information Systems, 2020.
- Choi, Y. S., Park, H. G., and Kim, G. S., "Establishment of th Plane Coordinate System for Framework Data(UTM-K) in Korea," Korean Journal of Geomatics, Vol. 22, No. 4, 2004.
- Gao, J., Li, P., Chen, Z., and Zhang, J., "A Survey on Deep Learning for Multimodal Data Fusion," Neural Computation, Vol. 32, No. 5, pp. 829-864, 2020. https://doi.org/10.1162/neco_a_01273
- Grover, A. and Leskovec, "Node2Vec: Scalable feature learning for networks," Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016.
- Khan, S., Nazir, S., Garcia-Magarino, I., and Hussain, A., "Deep learning-based urban big data fusion in smart cities: Towards traffic monitoring and flow-preserving fusion," Computers & Electrical Engineering, Vol. 89, 106906, 2021. https://doi.org/10.1016/j.compeleceng.2020.106906
- Korea Ministry of the Interior and Safety, Road Name Address System, http://www.juso.go.kr/.
- Lee, S. H., Yang, C. M., and Baek, S. C., "Improvement on Location Based Parcel Numbering System," Journal of Cadastre & Land Informatix, Vol. 42, No. 1, pp. 148-149, 2012.
- Li, Y. and Yang, T., "Word embedding for understanding natural language: A survey," Guide to big data applications, pp. 83-104, Springer, 2018.
- Liu, J., Li, T., Xie, P., Du, S., Teng, F., and Yang, X., "Urban big data fusion based on deep learning: An overview," Information Fusion, Vol. 53, pp. 123-133, 2020. https://doi.org/10.1016/j.inffus.2019.06.016
- Ma, L. and Zhang, Y., "Using Word2Vec to process big text data," Proceedings of IEEE International Conference on Big Data, pp. 2895-2897, 2015.
- Wiemann, S., and Lars, B., "Spatial data fusion in spatial data infrastructures using linked data," International Journal of Geographical Information Science, Vol. 30, No. 4, pp. 613-636, 2016. https://doi.org/10.1080/13658816.2015.1084420
- Winarno, E., Hadikurniawati, W., and Rosso, R. N., "Location based Service for Presence System using Haversine Method," Proceedings of 2017 International Conference on Innovative and Creative Information Technology (ICITech), pp. 1-4, 2017.
- Xia, P., Zhang, L., and Li, F., "Learning Similarity with Cosine Similarity Ensemble," Information Sciences, Vol. 307, pp. 39-52, 2015. https://doi.org/10.1016/j.ins.2015.02.024