摘要
采购联盟合作伙伴的选择是采购联盟成功的一个关键,而伙伴搜索是伙伴选择重要的第一步。本文将电子商务中采购联盟伙伴搜索问题转换为采购需求文本的语义匹配问题,介绍了一种基于领域本体和语义相似度的采购联盟伙伴搜索模型。该模型通过对采购需求文本概念向量的上位填充和语义相似度计算来量化采购需求的语义匹配程度。
Partners searching is the important first step of the partners selection, which is one of the critical issues in the consortium purchasing. In this paper, partners searching method in econanerce is researched by referencing the semantic matching of tow order texts. Based on domain ontology and concept semantic similarity, partners searching model for purchasing consortia is proposed. After filling each order text concept vector with near neighbored superior concepts according to their connection path and semantic relation in the network structure of domain ontology, the semantic matching degree between two order texts is quantified by the semantic similarity between the two concept vectors.
出处
《现代情报》
CSSCI
2012年第8期45-48,共4页
Journal of Modern Information
关键词
采购联盟
伙伴搜索
语义相似度
领域本体
purchasing consortia
partner searching
semantic similarity
domain ontology
