Designing XML Schema Inference Algorithm for Intra-enterprise Use

The paper considers methods for automated XML schema inference for a collection of documents from the point of the integration and usage at the enterprise. Most existing algorithms work with certain XML data that is claimed to be without errors or inaccuracies in the collection. The paper analyzes the theoretical foundations for inferring XML schema for decision maker who is working with automatically or manually created heterogeneous data. An algorithm based on a probabilistic approach is supposed to work on any data and allows the decision maker to have alternatives with a certain confidence level when working with an XML schema inferred. As a result of our findings, we introduce xml.schema.inference application for inferring XML schemas for intra-enterprise use.