Data collaborative work flow model for information integration with the support of Web services

In this paper, the author proposed a data collaborative work flow model with the support of web services. Nowadays, many E-Commerce businesses are relying on the data transmitted between businesses or their customers. In order to get the best value of data, the way of processing data is critical. So the author proposed a data collaborative work flow model with six stages (data fetching/transfer between businesses, data store, data refining, data analysis, data presentation, and data fade). The author believes the accuracy of data relies upon how the data is processed at the each stage in this model. In order to make this model more practical and understandable, it would be discussed with relevant case studies. While processing data, sharing data and applications between businesses is common. However, this raises some technical concerns in data transmission, data security, and network limitation. Among these issues, system interoperability are becoming more important since data and application integration is not an easy task due to differences in programming languages, system platforms, Database Management Systems (DBMS) used within different systems. To-date, a new distributed middleware technology 'Web Service' paradigm standardises the programmatic interfaces for application-to-application communication. To fully take advantage of this technology, this paper proposed the use of 'Web Services' to address the issue of interoperability. Therefore, another aim of this paper is to enable those businesses deploying Web Service to enhance their data processing with higher flexibility and efficiency.