Paper Info
Title
Automatic Generation of Service Composition Plans for Correlated Queries
Abstract
Service-oriented situational data integration provides end-users an opportunity to integrate Internet-based data sources by composing data services, thereby satisfying users' immediate and personalized demands. Correlated query of multiple sources is a common way of data integration. Because it is difficult for users to select and compose services manually, an approach is proposed in this paper to automatically generate data service composition plans for correlated queries according to user requests. As the input and output parameters of the traditional Web service operations are fixed, it is hard for them to meet diverse data query requests. In our approach, data content description is added to the data service model, and a query-friendly operation is provided for data services so that their input and output parameters can be dynamically determined. An algorithm for generating composition plans according to user requests is proposed. This algorithm selects proper services based on a query request, builds up service correlations with the data content description of the services, and then generates service composition plans on the basis of the service correlations. Experiments show that the approach can obtain effective composition plans of data services with a reasonable time cost.
Year
DOI
Venue
2013
10.1109/WISA.2013.36
IEEE WISA
Keywords
Field
DocType
automatic generation of composition plans,data service,service correlations,web services,user demands,correlated query,internet-based data sources,diverse data,service-oriented situational data integration,automatic generation,data content description,service composition plans,correlated queries,query-friendly operation,user requests,composing data service,web service operations,data query requests,internet-based data source,data service model,service correlation,data services,data integration,data service composition plans,query processing,data service composition plan
Query optimization,Data integration,Web search query,Data modeling,Query expansion,Computer science,Web query classification,Web service,Data as a service,Database
Conference
ISBN
Citations 
PageRank 
978-1-4799-3218-4
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Feng Zhang101.69
Guiling Wang283252.06
Yanbo Han350059.74