J4 ›› 2013, Vol. 35 ›› Issue (9): 151-156.
• 论文 • 上一篇 下一篇
张泽宇,李莉,谭凤,晏萍丽
收稿日期:
修回日期:
出版日期:
发布日期:
基金资助:
国家自然科学基金资助项目(61170192)
ZHANG Zeyu,LI Li,TAN Feng,YAN Pingli
Received:
Revised:
Online:
Published:
摘要:
针对现有语义标注系统效率低下的现状,借鉴NCBO Annotator的思想,提出了一种基于语义的文档标注方法,旨在结合本体知识库和WordNet的语义知识,构建具有丰富语义描述能力的字典库,并利用字典库实现文档的语义标注。实验表明,本方法能够提高搜索资源的语义,进而提高搜索的准确度。此外,利用本方法还可提供语义扩展搜索。最后将字典库和标注过程以RESTful Web Service的方式呈现,极大地方便了广大用户对字典库和语义资源的使用。
关键词: 本体, WordNet, 字典库, 语义标注, RESTful Web Service
Abstract:
To address the issue that existing semanticbased annotation system has low efficiency, a semanticbased annotation approach is proposed based on the idea of NCBO annotator. The purpose is to create the (semantic) dictionary with strong semantic description ability by combining Ontology Knowledge Base and WordNet Semantic Base, then use the dictionary to support semanticbased annotation. The experiment based on the data obtained from popular domains demonstrates the effectiveness and proficiency of the proposed approach in terms of high precision and recall measure. The approach, implemented as RESTful Web service, provides not only a greater level of convenience for further reference but also performanceenhancing potential across application domains.
Key words: ontology;WordNet;semantic dictionary;semanticbased annotation;RESTful web service
张泽宇,李莉,谭凤,晏萍丽. 基于语义的文档标注方法研究[J]. J4, 2013, 35(9): 151-156.
ZHANG Zeyu,LI Li,TAN Feng,YAN Pingli. Research on semanticbased annotation for documents [J]. J4, 2013, 35(9): 151-156.
0 / / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://joces.nudt.edu.cn/CN/
http://joces.nudt.edu.cn/CN/Y2013/V35/I9/151