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Improving Data Quality for Web Services Composition
- in Proceedings of the 7th International Workshop on Quality in Databases (QDB 2009), co-located with the 35th International Conference on Very Large Data Bases (VLDB 2009
"... Keywords: Web service, data quality, data interpretation, semantics, context The Internet era has evolved from a Web of documents to a Web of services. Web services are intended to be application components that can be reused and integrated to create more advanced, innovative Web applications withou ..."
Abstract
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Cited by 5 (3 self)
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Keywords: Web service, data quality, data interpretation, semantics, context The Internet era has evolved from a Web of documents to a Web of services. Web services are intended to be application components that can be reused and integrated to create more advanced, innovative Web applications without needing to develop them from scratch. Unfortunately, Web services distributed on the Internet are usually independently developed by different organizations and/or individuals and have diverse assumptions about the interpretation of the exchanged data, such as inconsistent data representation and conceptualization. Such data misinterpretation can result in Data Quality (DQ) problems and hamper the potential of Web services. We identify important DQ challenges in Web services composition and present a classification of the resulting DQ problems. We suggest a novel reconciliation framework for addressing these problems and evaluate the framework in terms of scalability, adaptability, and extensibility. Finally, we identify important future directions in data quality and Web services. 1.
Conflicts in Web Services Composition �
, 2013
"... Web services composition is often hampered by various types of data misinterpretation problems. In this paper, we present a comprehensive classification of the data misinterpretation problems. To address them, we develop an approach to automatic detection and reconciliation of data interpretation co ..."
Abstract
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Web services composition is often hampered by various types of data misinterpretation problems. In this paper, we present a comprehensive classification of the data misinterpretation problems. To address them, we develop an approach to automatic detection and reconciliation of data interpretation conflicts in Web services composition. The approach uses a lightweight ontology augmented with modifiers, contexts, and atomic conversions between the contexts, implemented using XPath functions and external services. The WSDL descriptions of Web services are annotated to establish correspondences to the ontology and contexts. Given the naive Business Process Execution Language (BPEL) specification of the desired Web services composition with possible data interpretation conflicts, the reconciliation approach can automatically detect the conflicts and produce the corresponding mediated BPEL by incorporating appropriate conversions into the composition. Finally, we develop a prototype to validate and evaluate the reconciliation approach. 1.