Document retrieval: A structural approach

摘要

This paper describes a structural document retrieval model which has been designed based on lexical-semantic relationships between index terms and an algorithm of measuring tree-to-tree distance. In this model, documents and query statements are structurally coded in order to take into account any hierarchy or ordering among the conceptual coordinates and are structurally matched by using the algorithm that cannot be expressed in a form of equation. The proposed model has been compared to the vector retrieval model using a small database and the results have been analyzed using a precision-recall graph and a statistical test. Both the graph and the testing result suggest that on this small database the proposed model tends to improve retrieval effectiveness. However, the structural retrieval model needs to be refined and more elaborate experiments are required in order to further confirm the findings.