知识发现中异构信息标准化处理研究——以资源环境领域文献为例

[目的/意义] 以数据集成过程中异构信息的集成为研究目标,在保证文献综合集成系统对信息提取的准确性要求的基础上,以资源环境学科为例,提出一种异构信息的标准化处理方式。[方法/过程] 采用团队自建的资源环境学科知识本体为依据,通过对资源环境学科异构信息在地理空间、时间单位及属性提取中的标准化分析,提出异构信息标准化处理的思路,指导搭建实现信息集成、支持综合集成的人机交互的文献综合集成平台。[结果/结论] 最终主要针对不同数据格式、不同来源的文献进行知识格式化提取及处理,完成文献综合集成的数据准备阶段的工作。异构信息标准化处理仅仅是知识发现过程的起点,后续将重点关注标准化的信息统计分析及可视化展示,完整实现文献综合集成的知识发现过程。

The Standardization of Heterogeneous Information in Knowledge Discovery: A Case Study of Resources and Environment Literature

[Purpose/significance] This paper aims to research the integration of heterogeneous information in the process of data integration. Based on the accuracy requirements of literature information extraction in literature Meta-synthesis system, we proposed a heterogeneous information standardized approach by the case of resource and environment subject.[Method/process] Using the self-discipline ontology of resources and environment subject, we put forward the idea of heterogeneous information standardization process to guide to putting up literature comprehensive integration platform supporting comprehensive integration of human-computer interaction and information integration, through the analysis of standardizing of heterogeneous information in the geographic space, time and attribute extraction in resources and environment subject.[Result/conclusion] Finally, the paper realized the task of data preparation phase in literature Meta-synthesis, according to knowledge extraction and processing of documents from different sources in different data formats. The standardization of heterogeneous information is only the starting point of knowledge discovery process, and we will focus on the statistical analysis and visual display of standardized information to completely implement knowledge discovery process of literature meta-synthesis.