The Open UniversitySkip to content

Exploiting metrics for similarity-based semantic web service discovery

Dietze, Stefan; Gugliotta, Alessio and Domingue, John (2009). Exploiting metrics for similarity-based semantic web service discovery. In: IEEE 7th International Conference on Web Services (ICWS 2009), 6-10 Jul 2009, Los Angeles, CA, USA.

Full text available as:
Full text not publicly available (Accepted Manuscript)
Due to publisher licensing restrictions, this file is not available for public download
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


Web Services (SWS) aim at the automated discovery and orchestration of Web services on the basis of comprehensive, machine-interpretable semantic descriptions. However, heterogeneities between distinct SWS representations pose strong limitations w.r.t. interoperability and reusability. Hence, semantic level mediation, i.e. mediation between concurrent semantic representations, is a key requirement to allow SWS matchmaking algorithms to compare capabilities of distinct SWS. In that, semantic level mediation requires to identify similarities across distinct SWS representations. Since current approaches to mediate between distinct service annotations rely either on manual one-to-one mappings or on semi-automatic mappings based on the exploitation of linguistic or structural similarities, these are perceived to be costly and error-prone. We propose a mediation approach enabling the implicit representation of similarities across distinct SWS by grounding these in so-called Mediation Spaces (MS). Given a set of SWS and their respective MS grounding, a general-purpose mediator automatically computes similarities to identify the most appropriate SWS for a given request. A prototypical application illustrates our approach.

Item Type: Conference or Workshop Item
Copyright Holders: 2009 IEEE International Conference on Web Services
ISBN: 0-7695-3709-X, 978-0-7695-3709-2
Keywords: Semantic Web Services; interoperability; conceptual spaces; discovery; mediation
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 23020
Depositing User: Kay Dave
Date Deposited: 23 Sep 2010 10:53
Last Modified: 15 Jan 2019 06:08
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU