| Abstrakt: |
Geospatial data play a vital role in various decision making systems. Technological advancements have enabled users to access geospatial functionalities as services over web. In many decision support systems, it is required that more than one service is to be involved to help decision makers, calling for a service chaining. Chaining distributed geospatial services requires dealing with several heterogeneity issues such as semantic, syntactic issues. In addition, properties of geospatial data are fuzzy by nature. The fuzziness may exist in thematic definition and in spatial properties. This may lead to inflexible, less accurate decision making. Thus, to avail more accurate decision making, the uncertainty associated with the spatial information should be captured. In this paper, an approach for service chaining in decision support systems has been taken, along with fuzzy logic to resolve user queries and process imprecise information. Service chaining has been used for integrating distributed geospatial services, and fuzzy logic has been incorporated with services to capture fuzziness and uncertainty that are intrinsic to the data. [ABSTRACT FROM AUTHOR] |
