摘要
【目的】在蒙古文信息资源急剧增长的背景下,探索将基于本体的语义检索应用到蒙古文领域,提高蒙古文信息资源检索效果。【方法】利用本体技术重视推理、互联的优势,借助语义解析与推理工具Jena的规则推理引擎,设计并实现了基于蒙古文音乐领域本体的蒙古文语义检索系统。【结果】相较于关键词匹配检索,语义检索系统查全率达到95.6%、查准率达到93.2%,明显高于关键词匹配检索。【局限】仅以蒙古族多声部音乐为研究对象,实验对象数据有限,检索具有一定的局限性。【结论】对基于蒙古文领域本体的语义检索进行了完整的研究,为蒙古文语义网应用研究打下良好的理论和技术基础。
[Objective] This paper aims to improve the retrieval performance of the booming Mongolian information resources with Ontology based semantic technology. [Methods] We designed a semantic retrieval system with the help of Mongolian music domain Ontology as well as the semantic analysis and inference engine Jena. [Results] Compared to the keyword matching retrieval systems, the recall and precision of the proposed system were significantly improved （95.6% and 93.2%, respectively）. [Limitations] The experimental data only included the Mongolian multi-voice music. [Conclusions] The proposed semantic retrieval system lays theoretical and technological foundations for the research of Mongolian semantic Web applications.
出处
《现代图书情报技术》
CSSCI
2016年第11期94-100,共7页
New Technology of Library and Information Service
基金
国家自然科学基金项目"基于领域本体的蒙古文数字资源整合机制研究"(项目编号:71163029)的研究成果之一
关键词
蒙古文领域本体
语义推理
语义检索
Mongolian Domain Ontology＇ Semantic reasoning＇ Semantic retrieval
