An Improved Retrieve Algorithm Incorporated Semantic Similarity for Lucene
返回论文页
|更新时间:2023-12-11
|
An Improved Retrieve Algorithm Incorporated Semantic Similarity for Lucene
Acta Scientiarum Naturalium Universitatis SunYatseniVol. 50, Issue 2, Pages: 11-15(2011)
作者机构:
中山大学信息科学与技术学院,广东,广州,510275
作者简介:
基金信息:
DOI:
CLC:
Published:2011,
Published Online:25 March 2011,
扫 描 看 全 文
An Improved Retrieve Algorithm Incorporated Semantic Similarity for Lucene. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 50(2):11-15(2011)
DOI:
An Improved Retrieve Algorithm Incorporated Semantic Similarity for Lucene. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 50(2):11-15(2011)DOI:
An Improved Retrieve Algorithm Incorporated Semantic Similarity for Lucene
A retrieve algorithm that incorporates the semantic information of the words into traditional retrieve function of Lucene is proposed. The proposed method improves the important components of existing retrieve similarity functions with semantic information
and selects the appropriate measure of semantic similarity to compute the semantic similarity between the query words and text corpus by using the external dictionary Wordnet. With the semantic similarity
the algorithm implements semantic information retrieve and can sort the retrieved text documents according to the semantic similarity between query words and text documents. The experimental results show that the proposed method can improve the precision of document retrieval effectively.