In the last post we introduced a new parameter for our REST API. With the last release another new API feature was introduced which allows for a better usage of BibSonomy in browser based applications. The API is now able to output JSON. Instead of XML, all API request can be switched with the URL parameter format to return JSON.
BibSonomy provides an API (Application Programming Interface) which other software programs can use to access the services and resources provided by BibSonomy. It is build on the REST (Representational State Transfer) architecture style and enables programs to post data (for example creating a new user), read data (for example getting the publications or tags of a user), updating or deleting data (for example one's own entries).
Recently, a new parameter for reading a user's tags was added. The parameter enables an alphabetical or frequency-based ordering of tags.
The Product Advertising API provides programmatic access to Amazon’s product selection and discovery functionality so that developers like you can advertise Amazon products to monetize your website.
One of the fastest growing trends today is combining data and functionality from several sources to create new services that provide a unique user experience. They’re called mash ups. Think Google Maps. Yahoo Pipes. Facebook Plug-Ins. Libraries are doing Web mash ups as well: Meebo Instant Messaging. Library Lookup. Bookburro. And, in a way, they’ve been doing all kinds of mash ups for years. Think story hour, open-shelf access, cafes, book lockers.
# Perennial favorites open source, APIs, and mobile devices given as top trends, among others
# Technology glitches during streaming video, distracting chat room discussion during panel
# Karen Coyle: Future may not involve libraries "if we don't make some extreme changes."
The goal of the API is to allow application developers access to all of the arXiv data, search and linking facilities with an easy-to-use programmatic interface. This page provides links to developer documentation, and gives instructions for how to join the mailing list and contact other developers and maintainers.
K. Joseph, P. Landwehr, and K. Carley. Social Computing, Behavioral-Cultural Modeling and Prediction, page 75--83. Cham, Springer International Publishing, (2014)
F. Morstatter, J. Pfeffer, H. Liu, and K. Carley. Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media, page 400--408. The AAAI Press, (2013)
D. Hou, and D. Pletcher. Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering, page 26--30. New York, NY, USA, ACM, (2010)