A New Calculation Method of Semantic Similarity
WEI Tong
JIA Yang-li
ZHANG Zhen-ling
Julien
Abstract：In the field of information retrieval ,semantic based on inaccurate information query ,re‐quires the user to screening for many times ,reducing the query efficiency ,therefore ,semantic similarity calculation accuracy is very important .At present ,the main use of notional word distance ,content ,at‐tribute information such as the se‐matic similarity computation ,w hich integrated distance ,information content and concept word attribute factors such as hybrid information semantic similarity calculation method is a popular approach ,but the method ofsemati‐c similarity computation ,the determination of weight is based on the experience of experts ,man‐made for sure ,have certain subjectivity ,affects the semantic similarity computation accuracy and objectivity .Therefore ,this paper presents a new hybrid semantic similarity calculation method , by adopting the idea of fuzzy optimization to determine the weight value of hybrid semantic similarity calculation method ,to avoid the subjectivity ,thesemanti‐c similarity calculation more accurate ,the query results more in line with people’s needs .
Keywords：ontologysemantic similarityword segmentation technologyextended semantic technology
Publication Date：2015-01-01
Online Publishing Date：2026-08-28(First online date of this platform, not the publication date of the document)
Pages：5( 88-92 )