Bookmarklet-Triggered Literature Metadata Extraction System Using Cloud Plugins

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 355)

Abstract

In this paper, a bookmarklet-triggered literature metadata extraction system using cloud plugins is designed to find metadata of the publisher Web pages. First, we propose selector-syntax extractors using CSS-like syntax. Furthermore, we deploy them in the cloud. Finally, a bookmarklet-triggered way is proposed to execute cloud script to extract metadata of current Web pages. Compared with current methods, this system works across browser platforms with flexibility and extensibility and without installing additional plugins.

Keywords

Metadata extraction Content negotiation Bookmarklet Cloud computing Plugins 

Notes

Acknowledgments

This work was supported by the Doctoral Fund of University of Jinan (XBS1237) and the Shandong Provincial Natural Science Foundation (ZR2014FQ029).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Shandong Provincial Key Laboratory of Network Based Intelligent ComputingUniversity of JinanJinanChina
  2. 2.Machine Intelligence Research LabsScientific Network for Innovation and Research ExcellenceAuburnUSA

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