Information extraction from web services : a comparison of Tokenisation algorithms
Metke-Jimenez, Alejandro, Raymond, Kerry, & MacColl, Ian (2011) Information extraction from web services : a comparison of Tokenisation algorithms. In SKY2011 Workshop : Discovery and Representation of Runnable Knowledge, 26 October 2011, Paris.
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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|Item Type:||Conference Paper|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300)|
|Divisions:||Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Research Centres > Smart Services CRC
|Copyright Owner:||Copyright 2011 [Please consult the authors]|
|Deposited On:||18 Jan 2012 21:55|
|Last Modified:||10 Jul 2016 06:57|
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