Semantic Document Annotation Ranking Model

Abstract

With the support of semantic annotation and domain ontology, semantic web is able to assist people in querying rich documents. However, generating queried semantic documents without ranking them in a right order is ineffective. In this paper, we are extending FF-ICF algorithm with the concept spreading. For experimentation, this algorithm is applied into a research prototype retrieval engine, PicoDoc. The PicoDoc system uses corpus that has pre-annotated documents as its data reference to run query against, based on real-life dataset from ABC and BBC news article corpus. The corpus is based on OCAS2008 ontology. The experiment shows a modified FFICF-related spread concept yields promising results in retrieving related information.