Search in the Eye of the Beholder: Using the Personal Social Dataset and Ontology-guided Input to Improve Web Search Efficiency

摘要

Among the challenges of searching the vast information source the Web has become, improving Web search efficiency by different strategies using semantics and the user generated data from Web 2.0 applications remains a promising and interesting approach. In this paper, we present the Personal Social Dataset and Ontology-guided Input strategies and couple them together, providing a proofof- concept implementation.