What prevents the Geospatial Web from taking off is not a missing architecture and protocol stack but, beside other aspects, the question of how Web services can be semi-automatically discovered and whether and to what degree they satisfy user requirements. Two approaches turned out to be useful for semantic-enabled geospatial information retrieval: subsumption reasoning and similarity measurement. However, while the former one can be applied to query service ontologies described in OWL-S or WSMO/WSML, most existing similarity theories are not able to cope with logic-based service descriptions. This chapter presents initial results in developing a directed and context-aware similarity measure that compares WSML concept descriptions for overlap and therefore supports retrieval within the upcoming Geospatial Web.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Janowicz, K. (2007). Similarity-based Retrieval for Geospatial Semantic Web Services Specified Using the Web Service Modeling Language (WSML-Core). In: Scharl, A., Tochtermann, K. (eds) The Geospatial Web. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84628-827-2_24
Download citation
DOI: https://doi.org/10.1007/978-1-84628-827-2_24
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-84628-826-5
Online ISBN: 978-1-84628-827-2
eBook Packages: Computer ScienceComputer Science (R0)