In the last few years we have observed a proliferation of approaches for clustering XML
documents and schemas based on their structure and content. The presence of such a huge …

With the growing popularity of XML as the data representation language, collections of the
XML data are exploded in numbers. The methods are required to manage and discover the …

This paper presents the incremental clustering algorithm, XML documents Clustering with
Level Similarity (XCLS), that groups the XML documents according to structural similarity. A …

XML is becoming a common way of storing data. The elements and their arrangement in the
document's hierarchy not only describe the document structure but also imply the data's …

Since the emergence in the popularity of XML for data representation and exchange over
the Web, the distribution of XML documents has rapidly increased. It has become a …

We present in this paper, a context-driven search engine called XCDSearch for answering
XML Keyword-based queries as well as Loosely Structured queries, using a stack-based …

We present a novel clustering algorithm to group the XML documents by similar structures.
We introduce a Level structure format to represent the XML documents for efficient …

With the emergence of World Wide Web, business' databases are increasingly being
queried directly by customers. The customers may not be aware of the underlying data and …

Capturing latent structural and semantic properties in semi-structured documents (eg, XML
documents) is crucial for improving the performance of related document analysis tasks …