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Communications of the ACM
Extracting schema from semistructured data
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Conceptual schema analysis: techniques and applications
ACM Transactions on Database Systems (TODS)
XTRACT: a system for extracting document type descriptors from XML documents
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Using Schema Matching to Simplify Heterogeneous Data Translation
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
An Approach to Classify Semi-structured Objects
ECOOP '99 Proceedings of the 13th European Conference on Object-Oriented Programming
Exploiting structural similarity for effective Web information extraction
Data & Knowledge Engineering
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Sources of XML documents are proliferating on the Web and documents are more and more frequently exchanged among sources. At the same time, there is an increasing need of exploiting database tools to manage this kind of data. An important novelty of XML is that information on document structures is available on the Web together with the document contents. However, in such an heterogeneous environment as the Web, it is not reasonable to assume that XML documents that enter a source always conform to a predefined DTD in the source. In this paper we address the problem of document classification by proposing a metric for quantifying the structural similarity between an XML document and a DTD. Based on such notion, we propose an approach to match a document entering a source against the set of DTDs available in the source, determining whether a DTD exists similar enough to the document.