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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 March 2012, Stanford, California, USA.

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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.

Item Type: Conference Item
Copyright Holders: 2012 Association for the Advancement of Artificial Intelligence (www.aaai.org)
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetPartly funded by the EU project VPH-Share (FP7-269978)
Academic Unit/Department: Knowledge Media Institute
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 33226
Depositing User: Kay Dave
Date Deposited: 17 Apr 2012 15:48
Last Modified: 23 Oct 2012 21:30
URI: http://oro.open.ac.uk/id/eprint/33226
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