Background: Generally, it is difficult to obtain the literature metadata in a unified way
because the source data of literature is heterogeneous. Researchers developed a series of systems
marked by digital object to manage them and obtained a good effect. Though there are several DOI
systems, we face with some problems in promoting the use of them.
Objective: To address this issue of promoting literature identifier extraction, this paper has proposed
automatic literature metadata extraction from DataCite services.
Method: This paper describes Patent Publication Number CN103279361A, titled "Method and System
for Bookmark-triggered Literature Sharing", issued by State Intellectual Property Office of the
P.R.C. on January 27, 2016. A literature metadata extraction system supporting both personal computer
and mobile terminal is developed using the integration of DataCite content negotiation,
DataCite metadata search, and HTML template extraction. The architecture of this system is divided
into model, view, service and controller. An important contribution of this article is to design a
cross-platform and universal way to extract digital literature with/without DOI.
Results: The analysis of application's effect and piratical test case show the ability to verify the authenticity
of automatic literature metadata extraction from DataCite services. The contributions of
our method are literature identifier extraction from DOI proxy, template extraction using Roadrunner,
and bookmarklet-based literature sharing.
Conclusion: The idea and a disclosed embodiment of a patent (Patent CN103279361A, issued by
State Intellectual Property Office of the P.R.C.) are presented, which is based on the distribution of
literature metadata extraction. In one disclosed embodiment, this method contains literature identifier
extraction from DOI proxy, template extraction using Roadrunner, and bookmarklet-based literature