Inference Document Type (Dtd) From Xml Document: Web Structure Mining

Inference Document Type (Dtd) From Xml Document: Web Structure Mining

XML is becoming a prevalent format and defacto standard for data exchange in many applications. While traditionally, lots of data are stored and managed in relational databases. There is an urgent need to research some efficient methods to convert these data stored in relational databases to XML format when integrating and exchanging these data in XML format. The semantics of XML schemas are cr...

XML Document Design via GN-DTD

Designing a well-structured XML document is important for the sake of readability and maintainability. More importantly, this will avoid data redundancies and update anomalies when maintaining a large quantity of XML based documents. In this paper, we propose a method to improve XML structural design by adopting graphical notations for Document Type Definitions (GN-DTD), which is used to descri...

XML Document Normalization Using GN-DTD

Document Type Definition (DTD) Metrics

In this paper, we present two complexity metrics for the assessment of schema quality written in Document Type Definition (DTD) language. Both “Entropy (E) metric: E(DTD)” and “Distinct Structured Element Repetition Scale (DSERS) metric: DSERS(DTD)” are intended to measure the structural complexity of schemas in DTD language. These metrics exploit a directed graph representation of schema docum...

Mining Association Rules from Xml Document

In this work we describe an approach to mine Tree-based association rules from XML documents. Such rules provide information on both the structure and the content of XML documents; moreover, they can be stored in XML format to be queried later on. The mined knowledge is approximate, intensional knowledge used to provide: (i) quick, approximate answers to queries and (ii) information about struc...