Accessing and extracting semantic meanings from web documents is crucial for the realization of Semantic Web. While the web offers the flexibility of making information easily available, it is considerably hard to find a fruitful way to describe, classify and present this information with rich semantic content. Therefore, the semantic information content of web documents need to be specified in order to make the tangled information more accessible to search engines and other applications. In this paper we propose an approach meant to assist in constructing semantic document models using natural language analysis technique and a domain specific ontology.