Subject Perception Semantic Model for Information Retrieval in Tourism

Abstract

With the continued growth of tourism multimedia information made available through the World Wide Web, more efficient and accurate retrieval approaches are leading to an increasing demand. Most existing information retrieval approaches are based upon keywords and therefore provide limited capabilities to capture the query requirements. However, a complete understanding of search requirements is essential for improving the effectiveness of retrieval. To achieve this goal, we propose a novel subject perception semantic model (SPSM) for searching tourism information, which allows the customized query threshold to retrieve tourism information. In this model, we present the definition of Subject Hierarchy Graph to support semantic search capabilities, and propose computing methods of subject perception to quantify the semantics of query requirements. The experiments show that SPSM obtained encouraging performances.