Web clustering engines organize search results by topic, thus offering a complementary
view to the flat-ranked list returned by conventional search engines. In this survey, we …

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 …

Now that the use of XML is prevalent, methods for mining semi-structured documents have
become even more important. In particular, one of the areas that could greatly benefit from in …

Keyword search enables Web users to easily access XML data without the need to learn a
structured query language and to study possibly complex data schemas. Existing work has …

In this paper we propose a unified clustering algorithm for both homogeneous and
heterogeneous XML documents. Depending on the type of the XML documents, the …

Ontology Learning is up to now dominated by techniques which use text as input. There are
only few methods which use a different data source. The techniques which use highly …

The increase in the volume and heterogeneity of semistructured data based application
scenarios has demanded for next-generation methods that are able to effectively couple …

As textually published information is increasing in digital libraries, efficient retrieval methods
are required. Textual documents in a digital library are available in various structures and …

A common limit of most existing methods that manage XML structure information is that they
do not handle the semantic meanings that might be associated to the markup tags. In this …

A novel approach based on supervised classification has been proposed to classify a given
collection of XML documents based on rule based classifier by semantically enriched …