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Research on Literature Retrieval Based on Concepts Similarity

机译:基于概念相似度的文献检索研究

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Ontology-based concepts similarity calculation is the focus of Semantic Web. A comprehensive ontology-based concepts similarity calculation model is proposed in this paper. It considers four factors: property similarity, semantic distance, hierarchy depth and regulatory factors. This paper created a science and technology Paper Ontology, and computed papers similarity based on this method, and expanded OWL documents. Experimental results show this method of computing concepts similarity can improve the quality of the search, and would effectively guarantee the relevance of search results to improve the retrieval precision and recall.
机译:基于本体的概念相似度计算是语义网的重点。提出了一种基于本体的综合概念相似度计算模型。它考虑了四个因素:属性相似性,语义距离,层次深度和调节因素。本文创建了科学技术的Paper Ontology,并基于此方法计算了论文的相似度,并扩展了OWL文档。实验结果表明,这种计算概念相似度的方法可以提高搜索质量,并有效保证搜索结果的相关性,从而提高检索的准确性和查全率。

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