Automatically Discovering Semantic Links among Documents and Applications
Hai Zhuge, Junsheng Zhang · 2007
Automatically discovering semantic links among documents is the basis of developing advanced applications on large-scale documentary resources. This paper proposes an approach to automatically discover semantic links in a given document set. It has the following advantages: (1) It does not rely on any predefined ontology. (2) The semantic link networks and relevant rules automatically evolve. (3) It can adapt to the update of the adopted techniques. Experiments on document sets of different types (scientific papers and Web pages on Dunhuang culture) and different scales show the proposed approach feasible. The approach can be used to automatically construct semantic overlays on large document sets to support advanced applications like various relation queries on documents.