The Open UniversitySkip to content

Two-fold Semantic Web service matchmaking – applying ontology mapping for service discovery

Dietze, Stefan; Benn, Neil; Domingue, John; Conconi, Alex and Cattaneo, Fabio (2009). Two-fold Semantic Web service matchmaking – applying ontology mapping for service discovery. In: The Semantic Web: Fourth Asian Conference, ASWC 2009, Shanghai, China, December 6-9, 2008 (Gómez-Pérez, Asunción; Yu, Yong-jiang and Ding, Ying eds.), Springer.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (308kB)
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


Semantic Web Services (SWS) aim at the automated discovery and orchestration of Web services on the basis of comprehensive, machine-interpretable semantic descriptions. Since SWS annotations usually are created by distinct SWS providers, semantic-level mediation, i.e. mediation between concurrent semantic representations, is a key requirement for SWS discovery. Since semantic-level mediation aims at enabling interoperability across heterogeneous semantic representations, it can be perceived as a particular instantiation of the ontology mapping problem. While recent SWS matchmakers usually rely on manual alignments or subscription to a common ontology, we propose a two-fold SWS matchmaking approach, consisting of (a) a general-purpose semantic-level mediator and (b) comparison and matchmaking of SWS capabilities. Our semantic-level mediation approach enables the implicit representation of similarities across distinct SWS by grounding service descriptions in so-called Mediation Spaces (MS). Given a set of SWS and their respective grounding, a SWS matchmaker automatically computes instance similarities across distinct SWS ontologies and matches the request to the most suitable SWS. A prototypical application illustrates our approach.

Item Type: Conference or Workshop Item
Copyright Holders: 2009 Springer-Verlag Berlin Heidelberg
ISSN: 0302-9743
Extra Information: The original publication is available at
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)
Item ID: 23017
Depositing User: Kay Dave
Date Deposited: 22 Sep 2010 11:04
Last Modified: 14 Jan 2019 20:10
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU