WebSCSA: Web search by constrained spreading activation

We present WebSCSA, an experimental Web search system based on the Constrained Spreading Activation model. WebSCSA performs an autonomous search by navigation using an algorithm based on the Constrained Spreading Activation model to find Web pages that are similar to those pointed out by the user as relevant to his information need. We also present the results of an experimental investigation into WebSCSA's effectiveness. We tested whether WebSCSA improves retrieval of relevant information on top of Web search engine results and how well WebSCSA serves as an agent browser for the user. The results are promising, and show that there is much potential for further research on the use of this technique to search the Web.