论文标题
科学资源和知识服务组件的准确肖像
Accurate Portraits of Scientific Resources and Knowledge Service Components
论文作者
论文摘要
随着云计算时代的出现，创建，捕获和管理信息的成本逐渐下降。互联网中的数据量也显示出爆炸性的增长，并且将越来越多的科学和技术资源上传到网络。与互联网中无处不在的新闻和社交媒体数据不同，科学和技术资源的主体由学术风格的资源或论文，专利，作者和研究机构等实体组成。资源之间存在丰富的关系网络，可以从中开采大量尖端的科学和技术信息。现有的科学和技术资源有大量的管理和分类标准，但是这些标准很难完全涵盖科学和技术资源的所有实体和关联，并且无法准确提取科学和技术资源中包含的重要信息。如何从网络中的结构化和非结构化报告和文本以及如何利用科学和技术资源的潜在价值中构建科学和技术资源的完整代表性是一个紧迫的问题。解决方案是结合与知识图相关的技术结合使用科学和技术资源的准确肖像。
With the advent of the cloud computing era, the cost of creating, capturing and managing information has gradually decreased. The amount of data in the Internet is also showing explosive growth, and more and more scientific and technological resources are uploaded to the network. Different from news and social media data ubiquitous in the Internet, the main body of scientific and technological resources is composed of academic-style resources or entities such as papers, patents, authors, and research institutions. There is a rich relationship network between resources, from which a large amount of cutting-edge scientific and technological information can be mined. There are a large number of management and classification standards for existing scientific and technological resources, but these standards are difficult to completely cover all entities and associations of scientific and technological resources, and cannot accurately extract important information contained in scientific and technological resources. How to construct a complete and accurate representation of scientific and technological resources from structured and unstructured reports and texts in the network, and how to tap the potential value of scientific and technological resources is an urgent problem. The solution is to construct accurate portraits of scientific and technological resources in combination with knowledge graph related technologies.
