Automated Metadata Hierarchy Derivation
Amjad Abou Assali, Hugo Zanghi · 2006
This paper presents an automated approach for building a metadata hierarchy of a set of web sites without the use of any predefined external hierarchies, and then merging and comparing them. The nodes of the hierarchy are the keywords of the specified web sites, and the links between these keywords are the weak subsumption relationships. We apply this method in the RTGI1project [8] on clusters of web sites already defined. The hierarchies can show how homogeneous each cluster is and permit to outline the contents of each corresponding cluster effectively. Moreover, we construct the common hierarchy of multiple clusters so that we check if their individual hierarchies are well distinguished and separated in the common one, which in turn indicates the correctness of clustering. At the end, we build the Semantic-Hypertextual graph of the sites which explains the semantic contents along with the topological structure of the sites.