Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets

Athar Sefid, Jian Wu, Allen C. Ge, Jing Zhao, Lu Liu, Cornelia Caragea, Prasenjit Mitra, C. Lee Giles. Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets. In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019. pages 9601-9606, AAAI Press, 2019. [doi]

@inproceedings{SefidWGZLCMG19,
  title = {Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets},
  author = {Athar Sefid and Jian Wu and Allen C. Ge and Jing Zhao and Lu Liu and Cornelia Caragea and Prasenjit Mitra and C. Lee Giles},
  year = {2019},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/5022},
  researchr = {https://researchr.org/publication/SefidWGZLCMG19},
  cites = {0},
  citedby = {0},
  pages = {9601-9606},
  booktitle = {The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019},
  publisher = {AAAI Press},
  isbn = {978-1-57735-809-1},
}