This service allows you to extraxt bibliographic metadata from numerous digital libraries. The extracted data is represented in BibTeX format.
You can also drag the
button to the links toolbar of your browser once and then use it to scrape publications from pages listed here by pressing
the button on one of the listed pages.
The service accepts the following parameters:
- url: The URL of the page which should be scraped.
- selection: Text selected on the web page. Used by some scrapers in addition to / instead of the URL.
- format: If equal to bibtex, plain BibTeX is returned instead of this HTML page. Experimental:
rdf+xml
scraped URL
http://www.sciencedirect.com/science/article/pii/S1877042811014388
scraped selection
active scraper
org.bibsonomy.scraper.url.kde.science.ScienceDirectScraper: This scraper parses a publication page from ScienceDirect.
resulting BibTeX
post to BibSonomyget plain BibTeX
@article{VOGEL2011514, title = {Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns}, journal = {Procedia - Social and Behavioral Sciences}, volume = {20}, pages = {514-523}, year = {2011}, note = {The State of the Art in the European Quantitative Oriented Transportation and Logistics Research – 14th Euro Working Group on Transportation & 26th Mini Euro Conference & 1st European Scientific Conference on Air Transport}, issn = {1877-0428}, doi = {https://doi.org/10.1016/j.sbspro.2011.08.058}, url = {https://www.sciencedirect.com/science/article/pii/S1877042811014388}, author = {Patrick Vogel and Torsten Greiser and Dirk Christian Mattfeld}, keywords = {Bike-Sharing, Data Mining, Activity Patterns}, abstract = {In this paper we analyze extensive operational data from bike-sharing systems in order to derive bike activity patterns. A common issue observed in bike-sharing systems is imbalances in the distribution of bikes. We use Data Mining to gain insight into the complex bike activity patterns at stations. Activity patterns reveal imbalances in the distribution of bikes and lead to a better understanding of the system structure. A structured Data Mining process supports planning and operating decisions for the design and management of bike-sharing systems.} }