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 ) 。


- 1. Naoki Abe and Hang Li. Learning word association norms using tree cut pair models. arXiv preprint cmp-lg/9605029, 1996.
- 2. Omri Abend and Ari Rappoport. Fully unsupervised core-adjunct argument classification. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 226-236, 2010.
- 3. Carsten Brockmann and Mirella Lapata. Evaluating and combining approaches to selectional preference acquisition. In 10th Conference of the European Chapter of the Association for Computational Linguistics, 2003.
- 4. Stephen Clark and David Weir. Class-based probability estimation using a semantic hierarchy. Computational Linguistics, 28(2):187-206, 2002.
- 5. Katrin Erk. A simple, similarity-based model for selectional preferences. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pages 216-223, 2007.