Information retrieval based on conceptual network

With information exploding on the Internet, existing search engines encounter difficulty in accurate document positioning. Powerful content-based search engines are in need for helping us find useful information accurately and efficiently. Based on our self-established conceptual network platform ConNet, a novel information retrieval framework is discussed, which is being used to support semantic matching and concept based searching for multiple domains and multiple languages across widely distributed Internet environment. We developed ConNet platform under the conceptual network model (CNM), and mid-stage experiments have shown some encouraging results to illustrate our idea.