Harnessing the crowds for automating the identification of Web APIs

Pedrinaci, Carlos; Liu, Dong; Lin, Chenghua and Domingue, John (2012). Harnessing the crowds for automating the identification of Web APIs. In: AAAI Spring Symposium 2012, 26-28 Mar 2012, Stanford, California, USA.

URL: http://www.aaai.org/Symposia/Spring/sss12.php

Abstract

Supporting the efficient discovery and use of Web APIs is increasingly important as their use and popularity grows. Yet, a simple task like finding potentially interesting APIs and their related documentation turns out to be hard and time consuming even when using the best resources currently available on theWeb. In this paper we describe our research towards an automatedWeb API documentation crawler and search engine. This paper presents two main contributions. First, we have devised and exploited crowdsourcing techniques to generate a curated dataset of Web APIs documentation. Second, thanks to this dataset, we have devised an engine able to automatically detect documentation pages. Our preliminary experiments have shown that we obtain an accuracy of 80% and a precision increase of 15 points over a keyword-based heuristic we have used as baseline.

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About

• Item ORO ID
• 33226
• Item Type
• Conference or Workshop Item
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Not Set	Not Set	Partly funded by the EU project VPH-Share (FP7-269978)

• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2012 Association for the Advancement of Artificial Intelligence (www.aaai.org)
• Depositing User
• Kay Dave