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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

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

February 1, 2023

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Authors

Athar Sefid

Pennsylvania State University


Jian Wu

Old Dominion University


Allen C. Ge

Pennsylvania State University


Jing Zhao

Pennsylvania State University


Lu Liu

Pennsylvania State University


Cornelia Caragea

Pennsylvania State University


Prasenjit Mitra

Pennsylvania State University


C. Lee Giles

Pennsylvania State University


DOI:

10.1609/aaai.v33i01.33019601


Abstract:

Automatically extracted metadata from scholarly documents in PDF formats is usually noisy and heterogeneous, often containing incomplete fields and erroneous values. One common way of cleaning metadata is to use a bibliographic reference dataset. The challenge is to match records between corpora with high precision. The existing solution which is based on information retrieval and string similarity on titles works well only if the titles are cleaned. We introduce a system designed to match scholarly document entities with noisy metadata against a reference dataset. The blocking function uses the classic BM25 algorithm to find the matching candidates from the reference data that has been indexed by ElasticSearch. The core components use supervised methods which combine features extracted from all available metadata fields. The system also leverages available citation information to match entities. The combination of metadata and citation achieves high accuracy that significantly outperforms the baseline method on the same test dataset. We apply this system to match the database of CiteSeerX against Web of Science, PubMed, and DBLP. This method will be deployed in the CiteSeerX system to clean metadata and link records to other scholarly big datasets.

Topics: AAAI

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HOW TO CITE:

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 Proceedings of the AAAI Conference on Artificial Intelligence (2019) 9601-9606.

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 AAAI 2019, 9601-9606.

Athar Sefid||Jian Wu||Allen C. Ge||Jing Zhao||Lu Liu||Cornelia Caragea||Prasenjit Mitra||C. Lee Giles (2019). Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets. Proceedings of the AAAI Conference on Artificial Intelligence, 9601-9606.

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. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.9601-9606.

Athar Sefid||Jian Wu||Allen C. Ge||Jing Zhao||Lu Liu||Cornelia Caragea||Prasenjit Mitra||C. Lee Giles. 2019. Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets. "Proceedings of the AAAI Conference on Artificial Intelligence". 9601-9606.

Athar Sefid||Jian Wu||Allen C. Ge||Jing Zhao||Lu Liu||Cornelia Caragea||Prasenjit Mitra||C. Lee Giles. (2019) "Cleaning Noisy and Heterogeneous Metadata for Record Linking across Scholarly Big Datasets", Proceedings of the AAAI Conference on Artificial Intelligence, p.9601-9606

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", AAAI, p.9601-9606, 2019.

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". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.9601-9606.

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". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 9601-9606.

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. AAAI[Internet]. 2019[cited 2023]; 9601-9606.


ISSN: 2374-3468


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