从OCLC的数据科学项目看图书馆数据的形态演变

Form Evolution of Library Data from the Perspective of OCLC's Data Science Projects

[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 ] Discussion on the evolution of library data forms is helpful to understand re- search emphases on library data in various forms, as well as the future research direction. [ Method/process] Based on investigations on four OCLC data science projects and three forms of data representation reflected in them, forms of library data are divided into five types, including original data form, aggregation form, extended data form, linked data form and knowledge form. [ Result/conclusion ] The processing depth and breadth of library data is gradually strengthened with its form evolution. The orderly evolution between these forms can be achieved through multi-source polymerization, internal generation and external association, converting library data into linked data, extraction and fusion of knowledge triples.