Machine learning for automatic classification of web service interface descriptions

Amel Bennaceur, Valérie Issarny, Richard Johansson, Alessandro Moschitti, Daniel Sykes, Romina Spalazzese

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We argue that the automatic classification of web service interface descriptions into a predefined set of categories can considerably speed up the task of finding compatible web services. By doing so, we restrict computationally-expensive compatibility checking to systems within the same domain category. In this paper we show that this classification can be carried out by leveraging techniques derived from automatic document classification. In particular, we devise an approach that exploit the characteristics of web service interface descriptions to extract the features necessary for inferring the categorisation function. We further reports the results of experiments in categorising various web service interface descriptions using different classification algorithms.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
Pages220-231
Number of pages12
Volume336 CCIS
DOIs
Publication statusPublished - 9 Nov 2012
Externally publishedYes
EventInternational Workshops on Software Aspects of Robotic Systems, SARS 2011 and Machine Learning for System Construction, MLSC 2011, Held Under the Auspices of the ISoLA 2011 - Vienna, Austria
Duration: 17 Oct 201118 Oct 2011

Publication series

NameCommunications in Computer and Information Science
Volume336 CCIS
ISSN (Print)18650929

Other

OtherInternational Workshops on Software Aspects of Robotic Systems, SARS 2011 and Machine Learning for System Construction, MLSC 2011, Held Under the Auspices of the ISoLA 2011
CountryAustria
CityVienna
Period17/10/1118/10/11

Fingerprint

Web services
Learning systems
Experiments

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Bennaceur, A., Issarny, V., Johansson, R., Moschitti, A., Sykes, D., & Spalazzese, R. (2012). Machine learning for automatic classification of web service interface descriptions. In Communications in Computer and Information Science (Vol. 336 CCIS, pp. 220-231). (Communications in Computer and Information Science; Vol. 336 CCIS). https://doi.org/10.1007/978-3-642-34781-8_17

Machine learning for automatic classification of web service interface descriptions. / Bennaceur, Amel; Issarny, Valérie; Johansson, Richard; Moschitti, Alessandro; Sykes, Daniel; Spalazzese, Romina.

Communications in Computer and Information Science. Vol. 336 CCIS 2012. p. 220-231 (Communications in Computer and Information Science; Vol. 336 CCIS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bennaceur, A, Issarny, V, Johansson, R, Moschitti, A, Sykes, D & Spalazzese, R 2012, Machine learning for automatic classification of web service interface descriptions. in Communications in Computer and Information Science. vol. 336 CCIS, Communications in Computer and Information Science, vol. 336 CCIS, pp. 220-231, International Workshops on Software Aspects of Robotic Systems, SARS 2011 and Machine Learning for System Construction, MLSC 2011, Held Under the Auspices of the ISoLA 2011, Vienna, Austria, 17/10/11. https://doi.org/10.1007/978-3-642-34781-8_17
Bennaceur A, Issarny V, Johansson R, Moschitti A, Sykes D, Spalazzese R. Machine learning for automatic classification of web service interface descriptions. In Communications in Computer and Information Science. Vol. 336 CCIS. 2012. p. 220-231. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-642-34781-8_17
Bennaceur, Amel ; Issarny, Valérie ; Johansson, Richard ; Moschitti, Alessandro ; Sykes, Daniel ; Spalazzese, Romina. / Machine learning for automatic classification of web service interface descriptions. Communications in Computer and Information Science. Vol. 336 CCIS 2012. pp. 220-231 (Communications in Computer and Information Science).
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