Publications (5)0 Total impact
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Article: Evolving a "Wise" integration system for e-commerce transactions.
Electronic Commerce Research and Applications. 01/2007; 6:219-232. -
Article: Towards a formal data management strategy for a web-based community.
IJWBC. 01/2005; 1:226-242. -
Conference Proceeding: A Flexible Integration Model for Web-based E-Commerce Transactions.
19th International Conference on Computers and Their Applications, CATA 2004, March 18-20, 2004, Red Lion Hotel on Fifth Avenue, Seattle, Washington, USA; 01/2004 -
Article: Algebraic signatures for scalable web data integration for electronic commerce transactions
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ABSTRACT: E-commerce transactions involve the access of data from enterprise-wide information. Providing enterprise-wide information is becoming increasingly difficult because of problems inherent in identifying semantic equivalent data. Web data integration consolidates and standardizes Web data, thus making Web data readily available to meet e-commerce needs. Integrating data from different sources involves combining concepts and knowledge of such data into a global view, so users can access such data without relying on the complex organizational structures of the underlying data sources. Unfortunately, most existing efforts involve significant manual input and adopt ad hoc approaches to data integration, ignoring the theoretical foundations of, and the necessary formalisms to specify, the integration process. In this paper, we leverage algebraic signatures to specify components of the integration system. We present an algebraic data model that reduces the topological structure of Web data sources to regular expressions. We define algebraic operators and functions to manipulate objects in the algebraic model. Central to the integration process is a filter mechanism that recognizes a "regulated schema" so that all the participating schemas are guaranteed to be in the same format. We also show that our approach guarantees a scalable and correct integration system. -
Article: A Formal Model of Dynamic Identification of Correspondence Assertions for E-Commerce Data Integration
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ABSTRACT: Data integration involves merging two or more schemas into a global schema based on the identification of common concepts, and also the set of different concepts that are mutually related by some semantic properties. Identifying semantic relationships that exist between a set of objects in one schema and a different set of objects in another schema is crucial to the integration process. Earlier integration strategies depend on significant manual input from the users and the ingenuity of the database administrators (DBAs) for the identification and declaration of correspondence assertions. We argue that it would be exceedingly difficult for users / DBAs to identify, declare, and specify the assertions that exist between objects, especially a mapping between two different attributes, for all attributes in the local databases. In this paper, we design an integration algorithm that leverages a simple semistructured data model and a common ontology to dynamically identify correspondence assertions. We exploit set theory and logic to formally specify the assertions. We show how different users across diverse platforms can query the global integrated schema.
