Improving the precision ratio using semantic based search

The overall goal of an information retrieval process is to retrieve the information relevant to the given request. The information retrieval techniques commonly used are based on keywords. These techniques use keyword listed to describe the content of information, but one problem with such list is that they do not say anything about the semantic relationships between keywords, nor do they take into account the meaning of words and phrases. To overcome these limitations, from the recent literature it is identified that it is necessary to analyze and determine the semantic features of both the content in document and query. Hence in this paper it is proposed to develop ontology and a comparison is made between the normal search and ontology based semantic search. Various experimental results are carried on, which shows the increase in document retrieval recall and precision rates, thereby demonstrating the effectiveness of the model.