Using DAML+OIL to Enhance Search Semantic

Current web search mostly relies on the keywords in the web pages. This method lacks of semantics ii many ways. For example, a search for a person by the person´s name means to find the web pages that contain the text of the name. On the contrary, search semantic is to find the information about the person in the real world. It is hard to achieve this goal in current content based web search engines because text is not useful during inference. The semantic web brings semantic to current web with formalized knowledge and data that computers can process. Therefore search can be benefit from the inference which is supported by ontology. In this paper, we propose a novel method to enhance the search semantic using ontology language DAML+OIL. Experiment shows preferable results comparing to the traditional search. The conclusion and future work will also be discussed in this paper.