Ly, Papa Alioune; Pedrinaci, Carlos and Domingue, John
(2012).
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| URL: | http://www.wise2012.cs.ucy.ac.cy/ |
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| DOI (Digital Object Identifier) Link: | http://doi.org/10.1007/978-3-642-35063-4_36 |
| Google Scholar: | Look up in Google Scholar |
Abstract
A fundamental characteristic of Web APIs is the fact that, de facto, providers hardly follow any standard practices while implementing, publishing, and documenting their APIs. As a consequence, the discovery and use of these services by third parties is significantly hampered. In order to achieve further automation while exploiting Web APIs we present an approach for automatically extracting relevant technical information from the Web pages documenting them. In particular we have devised two algorithms that automatically extract technical details such as operation names, operation descriptions or URI templates from the documentation of Web APIs adopting either RPC or RESTful interfaces. The algorithms devised, which exploit advanced DOM processing as well as state of the art Information Extraction and Natural Language Processing techniques, have been evaluated against a detailed dataset exhibiting a high precision and recall–around 90% for both REST and RPC APIs outperforming state of the art information extraction algorithms.
| Item Type: | Conference Item |
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| Copyright Holders: | Not known |
| Keywords: | Web API; RESTful service; Web Page segmentation; information extraction; service discovery |
| Academic Unit/Department: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 34934 |
| Depositing User: | Kay Dave |
| Date Deposited: | 31 Oct 2012 11:56 |
| Last Modified: | 03 Aug 2016 18:01 |
| URI: | http://oro.open.ac.uk/id/eprint/34934 |
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