تحول سیستم یکپارچه سازی «وایز» برای معاملات تجارت الکترونیک

The Web facilitates a global marketplace that provides an economic platform for application developers, merchants and customers to exchange goods and services from a wide range of domains. As a result, large volume of data now resides on the Web. Access to data distributed over the Web is becoming increasingly difficult because of information overload. A system that transcends the amalgamation of data, and provides easy access to data distributed over the Web is necessary. We present WISE, a correctness preserving approach to integration of Web data sources. We describe components of WISE, including a flexible semistructured data model, a common-term vocabulary, and an efficient integration algorithm that automates the integration process. We formally specify these components and show that the global integrated schema is correct, complete, minimal, and understandable.

The Internet has grown rapidly due mainly to the advent of the World Wide Web (Web) and increased number of Web-centric applications, such as e-commerce. E-commerce involves business activities that deal with exchange of values for goods and services where all transactions are carried out electronically. E-commerce creates a huge economic potential that is feasible because of the seamless global access that the Internet provides, the open environment the Internet supports, and the user-friendly graphical interfaces that Web tools support. Consequently, a large amount of data now resides on the Web. Access to data distributed over the Web is becoming increasingly difficult, as identifying semantically equivalent data remains a problem. The heterogeneity of e-commerce data sets makes it difficult to locate data relevant to a query or relate information from different sources. A system that transcends the amalgamation of data, and provides easy access to e-commerce related data on the Web is desirable. Data integration provides a global view of data across organizational boundaries, while retaining the autonomy of the data sources.

In this paper, we presented WISE, a correctness preserving approach to integration of Web data sources. We showed that WISE is capable of integrating Web data sources for e-commerce transactions as it permits data source autonomy and integration of data without the costly user intervention. The paper leverages a flexible semistructured data model and a common-term vocabulary (CTV) with sound integration principles and algorithms to provide a theoretical foundation that facilitates reliable and scalable Web data integration. We specify area-centric CTVs that allow incremental development of the overall CTV. This area-centric approach facilitates the evolution and composition of CTVs. We designed a graph-based integration algorithm that leverages the graph structure of Del-G and the semantic description provided by the input process to dynamically identify assertions between objects of different data sources. This paper represents a shift from the manual efforts and ad hoc approaches that characterize most existing integration systems. The use of theoretical methods and formal techniques provide sound mathematical principles to establish systems’ correctness and completeness, and hence eliminates redundancies to resolve integration challenges. The integration approach adopted in this paper precisely specifies the behaviour of the system and provides a framework to prove the correctness, completeness, and minimality of the integration results. Although the specifications provided in this paper are backed with theoretical principles that guarantee their correctness, there is still a need for a testbed environment to permit implementations of the specifications. Implementing the specifications will empirically determine their practicality, correctness, and completeness. In future, we intend to provide empirical analysis of our approach.