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作物学报 ›› 2016, Vol. 42 ›› Issue (03): 407-414.doi: 10.3724/SP.J.1006.2016.00407

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

农作物种质资源本体构建研究

陈丽娜1,2,方沩1,司海平3,曹永生1,*   

  1. 1中国农业科学院作物科学研究所，北京100081；2商丘师范学院计算机与信息技术学院，河南商丘476000；3河南农业大学信息与管理科学学院，河南郑州450002
  • 收稿日期:2015-08-09 修回日期:2015-11-20 出版日期:2016-03-12 网络出版日期:2015-12-18
  • 通讯作者: 曹永生, E-mail: caoyongsheng@caas.cn, Tel: 010-62186693
  • 基金资助:

    本研究由国家农作物种质资源平台(2005DKA21001)和国家星火计划(2014GA750011)项目资助。

Ontology Construction of Crop Germplasm Resources

CHEN Li-Na1,2,FANG Wei1,SI Hai-Ping3,CAO Yong-Sheng1,*   

  1. 1Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing100081, China;2Department of Computer and Information Technology, Shangqiu Normal College, Shangqiu476000, China；3College of Information and Management Science, Henan Agricultural University, Zhengzhou450002,China
  • Received:2015-08-09 Revised:2015-11-20 Published:2016-03-12 Published online:2015-12-18
  • Contact: 曹永生, E-mail: caoyongsheng@caas.cn, Tel: 010-62186693
  • Supported by:

    This study was supported by National Infrastructure for Crop Germplasm Resources(2005DKA21001) and ChinaSpark Program(2014GA750011).

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摘要：

本体是一种能够有效提高农作物种质资源整合、共享和利用效率的组织方式。在分析传统本体构建方法的基础上，结合中国农作物种质资源自身的特点，提出结构化数据与非结构化数据相结合的半自动化本体构建方法。该方法首先基于面向对象的思想从关系数据库中抽取概念及其关系建立初始本体；然后从非结构化的网站数据中提取概念，并利用在线字典WordNet和网络百科全书Wikipedia丰富概念的语义，完善初始本体。使用本体构建工具Protégé构建了农作物种质资源本体模型。实验表明，该方法既充分利用了数据库中的资源，又考虑了非结构化数据的补充作用，减少了构建成本，本体更加完善。探讨了本体进化的途径，指出了本研究的优点和局限性。

关键词: 农作物种质资源, 本体, 结构化数据, 非结构化数据

Abstract:

Ontology is an efficient organization for improving integration, sharing and use efficiency of crop germplasm resources.On the basis of analyzing traditional ontology construction methods and characteristics of national crop germplasm resources, a semi-automated ontology construction method combining structured data and unstructured data was proposed. The method established initial ontology by extracting concepts and their relationship from relational database based on object-oriented approach, then,extracted concepts from unstructured web data, and enriched the semantic of these concepts using online dictionaries such as WordNet and online encyclopedia Wikipedia, so as to improve the initial ontology. Crop germplasm resources ontology modelwas constructed using Protégé, an ontology construction tool. The experimental results showed that the method made the database resources fully utilized, the complementary role of unstructured data considered, the cost of ontology construction reduced, and the ontology more perfected. The paper discussed ontology evolutionway, and pointed out the advantages and disadvantages of the study.

Key words: Crop germplasm resources, Ontology, Structured data, Unstructured data

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