Ontology-based 3D Relief Models Retrieval

To improve the precision and efficiency in 3D models management in digital relief editing, this paper proposes a 3D relief models retrieval method based on ontology semantic analysis. Firstly, according to the specific field(Chinese classical story) of relief art, we classified the models, and established the corresponding ontology for these models. Secondly, after analyzing the relationship among these models, we constructed the association between the ontologies and the rule-based semantic reasoning. Then, we used the similarity calculation based on synonyms to solved the common problem if there is no results when search a resemble word. Finally, we developed a relief models retrieval system, which can retrieve 3D models accurately. The experimental results have shown that the proposed method can effectively assist the digital relief editing when retrieving the 3D models, enhance the relativities among the relief models and improve the retrieval efficiency.