Abstract
The traditional Web services architecture uses a keyword based search to match a query to one or more service providers. However, a world-to-word matching to discover a service provider is too simplistic for geospatial data and fails to capture matches that advertise their functionality using domain-dependent terminology. In this paper, we present DAGIS (Discovering Annotated Geospatial Information Services) – a semantic Web services based framework for geospatial domain that has graphical interface to query and discover services. It handles the semantic heterogeneities involved in the discovery phase and we propose algorithms for selecting the best service through QoS (Quality of Service) based semantic matching. The framework is capable of performing dynamic compositions on the fly through a back chaining algorithm. The framework is evaluated by solving queries posed by users in various geospatial decision making scenarios.
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References
Sondheim, M., Gardels, K., Buehler, K.: GIS Interoperability. In: Longley, P., Goodchild, M., Maguire, D., Rhind, R. (eds.) Geographical Information Systems 1 Principles and Technical Issues, John Wiley & Sons, New York (1999)
Klusch, M., Fries, B., Sycara, K.: Automated Semantic Web Service Discovery with OWLS-MX. In: AAMAS. Proceedings of 5th International Conference on Autonomous Agents and Multi-Agent Systems, Hakodate, Japan, ACM Press, New York (2006)
Srinivasan, N., Paolucci, M., Sycara, K.: An Efficient Algorithm for OWL-S Based Semantic Search in UDDI. In: Cardoso, J., Sheth, A.P. (eds.) SWSWPC 2004. LNCS, vol. 3387, pp. 96–110. Springer, Heidelberg (2005)
Martin, D., Paolucci, M., McIlraith, S., Burstein, M., McDermott, D., McGuinness, D., Parsia, B., Payne, T., Sabou, M., Solanki, M., Srinivasan, N., Sycara, K.: Bringing Semantics to Web Services: The OWL-S Approach. In: Cardoso, J., Sheth, A.P. (eds.) SWSWPC 2004. LNCS, vol. 3387, pp. 26–42. Springer, Berlin (2005)
OWL-S: Semantic Markup for Web Services. W3C member submission (2004), available: http://www.w3.org/Submission/OWL-S/
Egenhofer, M.: Toward the Semantic Geospatial Web. In: Voisard, A., Chen, S.-C. (eds.) ACM-GIS, McLean (2002)
Včkovski, A., Brassel, K.E., Schek, H.-J. (eds.): INTEROP 1999. LNCS, vol. 1580. Springer, Berlin (1999)
Goodchild, M.F., Egenhofer, M., Feeas, R., Kottman, C.: Interoperating Geographic Information Systems. Proceedings of Interop 1997, Santa Barbara, CA, Norwell, MA. Kluwer, Dordrecht (1998)
Geography Markup Language (GML) version 3.1.1 Specification, available: http://opengis.net/gml/
Sirin, E., Bijan Parsia, B.: The OWL-S Java API. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, Springer, Heidelberg (2004)
Li, L., Horrock, I.: A Software Framework for Matchmaking Based on the Semantic Web Technology. In: Proceedings of 12th Int Conference on the World Wide Web, Workshop on E-Services and the Semantic Web (2003)
Renier Gibotti, F., Gilberto, R.: GeoDiscover – a Specialized Search Engine to Discover Geospatial Data in the Web. In: 7th Brazilian Symposium on GeoInformatics (2005)
Kuhn, W.: Geospatial Semantics: Why, of What, and How? In: Spaccapietra, S., Zimányi, E. (eds.) Journal on Data Semantics III. LNCS, vol. 3534, pp. 1–24. Springer, Heidelberg (2005)
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Alam, A., Subbiah, G., Khan, L., Thuraisingham, B. (2007). DAGIS: A Geospatial Semantic Web Services Discovery and Selection Framework. In: Fonseca, F., Rodríguez, M.A., Levashkin, S. (eds) GeoSpatial Semantics. GeoS 2007. Lecture Notes in Computer Science, vol 4853. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76876-0_18
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DOI: https://doi.org/10.1007/978-3-540-76876-0_18
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