Document Type
Article
Publication Date
9-2008
Abstract
Web application hybrids, popularly known as mashups, are created by integrating services on the Web using their APIs. Support for finding an API is currently provided by generic search engines or domain specific solutions such as Google and ProgrammableWeb. Shortcomings of both these solutions in terms of and reliance on user tags make the task of identifying an API challenging. Since these APIs are described in HTML documents, it is essential to look beyond the boundaries of current approaches to Web service discovery that rely on formal descriptions. In this work, we present a faceted approach to searching and ranking Web APIs that takes into consideration attributes or facets of the APIs as found in their HTML descriptions. Our method adopts current research in document classification and faceted search and introduces the serviut score to rank APIs based on their utilization and popularity. We evaluate classification, search accuracy and ranking effectiveness using available APIs while contrasting our solution with existing ones.
Repository Citation
Gomadam, K.,
Ranabahu, A. H.,
Nagarajan, M.,
Sheth, A. P.,
& Verma, K.
(2008). A Faceted Classification Based Approach to Search and Rank Web APIs. Proceedings of 6th IEEE International Conference on Web Services (ICWS), 177-184.
https://corescholar.libraries.wright.edu/knoesis/329
DOI
10.1109/ICWS.2008.105
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Paper presented at the IEEE International Conference on Web Services, Beijing, China, September 23-26, 2008.
Posted with permission from IEEE.