XML-SIM-CHANGE: Structure and Content Semantic Similarity Detection among XML Document Versions

摘要

XML documents from different sources may represent the same or similar information with respect to content and structure. Being able to integrate similar XML documents is important to query systems and search engines. However, information changes periodically, therefore, it is important to detect the changes among different versions of an XML document and use the changed information to discover semantic similarity among XML documents. In this paper, we introduce such an approach to detect XML similarity using the change detection mechanism to join XML document versions. In our approach, keys in subtrees play an important role in order to avoid unnecessary compari-sons of subtrees within different XML versions of the same document. We use relational database to store XML versions and apply SQL for detecting similari-ties. We show that our approach is highly scalable and has better efficiency in terms of execution time and provides comparable result quality.