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Authors: Alejandro Metke-Jimenez ; Kerry Raymond and Ian MacColl

Affiliation: Queensland University of Technology, Australia

Keyword(s): Web services, Tokenization, Semantics, WSDL.

Abstract: Most web service discovery systems use keyword-based search algorithms and, although partially successful, sometimes fail to satisfy some users information needs. This has given rise to several semantics-based approaches that look to go beyond simple attribute matching and try to capture the semantics of services. However, the results reported in the literature vary and in many cases are worse than the results obtained by keyword-based systems.We believe the accuracy of the mechanisms used to extract tokens from the non-natural language sections of WSDL files directly affects the performance of these techniques, because some of them can be more sensitive to noise. In this paper three existing tokenization algorithms are evaluated and a new algorithm that outperforms all the algorithms found in the literature is introduced.

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Paper citation in several formats:
Metke-Jimenez, A.; Raymond, K. and MacColl, I. (2011). Information Extraction from Web Services - A Comparison of Tokenisation Algorithms. In Proceedings of the 2nd International Workshop on Software Knowledge (IC3K 2011) - SKY; ISBN 978-989-8425-82-9, SciTePress, pages 12-23. DOI: 10.5220/0003698000120023

@conference{sky11,
author={Alejandro Metke{-}Jimenez. and Kerry Raymond. and Ian MacColl.},
title={Information Extraction from Web Services - A Comparison of Tokenisation Algorithms},
booktitle={Proceedings of the 2nd International Workshop on Software Knowledge (IC3K 2011) - SKY},
year={2011},
pages={12-23},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003698000120023},
isbn={978-989-8425-82-9},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Software Knowledge (IC3K 2011) - SKY
TI - Information Extraction from Web Services - A Comparison of Tokenisation Algorithms
SN - 978-989-8425-82-9
AU - Metke-Jimenez, A.
AU - Raymond, K.
AU - MacColl, I.
PY - 2011
SP - 12
EP - 23
DO - 10.5220/0003698000120023
PB - SciTePress