This paper investigates a methodology for the ontology based semantic retrieval of annotated web documents
with terms occurrence weighting. The semantic structural distance of document terms in terms of domain ontology
is computed against new unknown queries to improve the documents ranking and retrieval. Furthermore, the role of
aggregation methods to combine the weighting terms scheme based similarity measures with the similarity of
semantic distance with respect to ontology have been carried out. Domain ontology is developed in which it defines
a number of keywords and properties for semantic reasoning. The performance of the proposed method has been
evaluated on health documents from a number of aspects, and experimental results are encouraging showing its
effectiveness