An ontology-based semantic search model study

Abstract

With the explosion of data growth, the problem how to retrieve information accurately and effectively comes into focus. To address this issue, researchers have put forward a variety of semantic retrieval models. This paper presents SDDP(Semantic, Density, Distance, Property) model which is an improved ontology-based semantic similarity calculation, and in this model the factors, such as semantic density, semantic depth, semantic distance and the attribute-based similarity calculation, are all involved. It was proved by experiment that the model has more improvement than other models in the recall and precision ratio.