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从检索图书馆读者借阅记录入手,针对读者借阅记录的分类号进行频数统计和聚类分析,并依据获得的借阅兴趣类目构建读者阅读兴趣本体模型。使用SWRL规则描述语言构造推理规则,在Jess推理引擎中进行推理,实现读者阅读兴趣本体模型的动态更新。通过程序测试表明:挖掘流通数据、建立读者阅读兴趣本体模型、利用关系数据库数据和推理方法动态更新本体,是实现个性化荐书服务自动推送的可行方法。
Starting from retrieving library borrowing records, frequency statistics and cluster analysis are carried out according to the classification numbers of readers ’borrowing records, and readers’ reading ontology model is constructed based on the obtained borrowing interest categories. The reasoning rules are constructed by using the SWRL rule description language and reasoning is carried out in the Jess inference engine so as to realize the dynamic update of readers’ reading ontology models. Through the program testing, it is feasible to tap the circulation data, establish readers’ reading ontology model, and dynamically update the ontology by using relational database data and reasoning method.