DOI
stands for Digital Object Identifier
（
D
igital
O
bject
I
dentifier
）
,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
「
http://dx.doi.org/
」
before a DOI.
For instance, if the DOI of an article is
10.5297/ser.1201.002
, you can link persistently to the article by entering the following link in your browser:
http://dx.doi.org/
10.5297/ser.1201.002
。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
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- Aoife Cahill, Nitin Madnani, Joel R Tetreault, and Diane Napolitano. Robust systems for preposition error correction using wikipedia revisions. In HLT-NAACL, pages 507–517. Citeseer, 2013.
連結：
- Michael Gamon, Jianfeng Gao, Chris Brockett, Alexandre Klementiev, William B Dolan, Dmitriy Belenko, and Lucy Vanderwende. Using contextual speller techniques and language modeling for esl error correction. In IJCNLP, volume 8, pages 449–456. Citeseer, 2008.
連結：
- Michael J Kieffer and Nonie K Lesaux. The role of derivational morphology in the reading comprehension of spanish-speaking english language learners. Reading and Writing, 21(8):783–804, 2008.
連結： - Eric Mays, Fred J Damerau, and Robert L Mercer. Context based spelling correction. Information Processing & Management, 27(5):517–522, 1991.
連結： - Tomas Mikolov, Martin Karafiát, Lukas Burget, Jan Cernocky`, and Sanjeev Khudanpur. Recurrent neural network based language model. In INTERSPEECH, pages 1045– 1048, 2010.
連結：
