Geospatial data qualities as web services performance metrics

Abstract

Service discovery is the crucial phase in the emerging Geospatial Semantic Web to select functionally similar services for the user query. Quality of Service (QoS) based service discovery, popularly studied in traditional Web Services, applies also to Geospatial Web Services. QoS allows service clients to fine-tune their search according to their specific needs and criteria. In high-performance service-based geospatial applications, it becomes an interesting research challenge to identify geospatial parameters to further improve the search process. In this paper we have proposed a set of geospatial criteria that can be used alongside the regular QoS parameters in service discovery and invocation. We show that using this novel approach of incorporating domain-specific drill-down information in addition to the commonly used QoS parameters yield more accurate and trustable Web services platform. We use the proposed geospatial parameters as performance metrics in the experimental evaluation of our application. The parameters reflect geospatial data quality attributes already standardized and well-studied in geospatial literature.