CAJ | 학술논문

数据空间的提出旨在解决模式驱动型的数据管理方式中所遇到的瓶颈，并最终解决数据管理所面临的挑战。而其中数据源内容之间的内部关联性成为数据空间研究的重点。从自然语言处理的角度出发，建立描述数据空间的模式实体，并且综合考虑基本刻面和内容刻面的主要内容，提出基于数据空间的数据源内容的关系发现机制，从而为下一步创建索引、浏览、搜索、查询以及其他服务提供良好的基础。
수거공간적제출지재해결모식구동형적수거관리방식중소우도적병경，병최종해결수거관리소면림적도전。이기중수거원내용지간적내부관련성성위수거공간연구적중점。종자연어언처리적각도출발，건립묘술수거공간적모식실체，병차종합고필기본각면화내용각면적주요내용，제출기우수거공간적수거원내용적관계발현궤제，종이위하일보창건색인、류람、수색、사순이급기타복무제공량호적기출。
The proposal of dataspace aims at solving the bottleneck, which the management way of mode-driver encounter , and finally solving the challenge of the data management. The internal correlation between the data source content becomes the fo- cus of the study of dataspace. From the point of view of Natural Language Processing（NLP）, this article establishes the model entity of the description of dataspace, comprehensively considering the basic facet and content facet. We propose the relation discovery mechanism of data source content based on dataspace.