Heuristic Approach to Manage Semantic Heterogeneity and Data Inconsistency in Enterprise Data Integration

XML syntax and semantic validations are critical to the correct service transaction specification and service integration based on existing distributed and heterogeneous computing services. Current industry practice of XSLT-based Schematron validation may produce invalid results, and contributes a reusable XML validator component that supports sound integrated syntax/semantic validations and event-driven integration with its environment through public APIs. XML is a selfdescribing language, and data owners do not follow a standard in XML elements/attributes. i.e., data owners have freedom to define their own tags/attributes and nesting orders in XML, but, this inconsistency leads to constraint management inefficiency (redundant constraints/expensive reformulations). Hence the challenge, if constraints are specified to the concepts that can be applied to different XML syntax structure. This will impact the semantic validations flexibility. Heuristics to identify possible semantic heterogeneity between XML documents that have any syntactic difference and data inconsistency were also proposed. In this paper, we propose a heuristic-based mechanism to manage the data consistency and semantic heterogeneity that achieves data interoperability by ensuring more flexibility/efficiency in enterprise data integration. Keywords-XML; OWL-Schematron; co-constraint; syntax validation; semantic validation; integrated validation; co-constraint; conceptual validation; semantic heterogeneity;