Ranking Algorithm for Semantic Document Annotations
International Journal of Information Retrieval Research
| Hi-index | 0.00 |
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.