论文部分内容阅读
[目的/意义]对图书馆数据形态演变情况进行探讨,以了解各种形态下图书馆数据研究的重点及未来研究方向。[方法/过程]在考察OCLC的4个数据科学项目及其反映出的3种数据表现形式的基础上,将图书馆数据形态分为原生形态、聚合形态、扩展形态、关联形态、知识形态等5种类型。[结果/结论]不同的图书馆数据形态有着不同的数据加工深度和广度。可通过多源聚合、内生与外联、关联数据化、知识三元组抽取与融合等途径实现5种数据形态之间的有序演变。
[Purpose / Significance] Discusses the evolution of library data morphology to understand the focus and future research direction of library data under various forms. [Methods / Processes] Based on the four data science projects of OCLC and the three kinds of data manifestation reflected by them, this paper divides library data forms into primary forms, aggregate forms, extended forms, related forms, and knowledge forms 5 types. [Results / Conclusions] Different library data patterns have different data processing depths and breadths. Through the multi-source aggregation, endogenous and outreach, associated data, knowledge extraction and fusion of triples to achieve an orderly evolution between the five kinds of data patterns.