The growth of data and information has encouraged researchers to overcome information overloaded. One of the convincing methods is through utilization of WordNet, a large lexical database of English. Generally, WordNet is used in Natural Language Processing (NLP) area and increasingly manipulated in the information retrieval field. Some search engines have using the WordNet in acquiring better meaning of user-entered keyword. Its usage might help in addressing the emergence of huge numbers of information on the web. This paper discusses the WordNet as an alternative database for semantic search engine (SSE). The SSE is then used for information retrieval. We tested our semantic search engine and compare it using Google and Yahoo search engines. Results show that our SSE gives better information retrieval when it comes towards personalization using user profiling to produce more relevant results.