Using linked data for data analytic literary research: Case BookSampo—Finnish fiction literature on the semantic web
本文介绍了BookSampo关联数据门户如何用于文学研究，包括提供无编程分析工具和SPARQL查询接口，并展示了芬兰小说在时空和主题上的演变趋势，对数字人文研究者有用。
Abstract The BookSampo Linked Data portal was deployed in 2011 by the Finnish Public Libraries and has today nearly 2 million annual users. Its Linked Data covers virtually all Finnish fiction literature but the data has not been used for data analyses in Digital Humanities. This paper discusses how the Knowledge Graph can be used for literary research in two ways: First, a new BookSampo 2.0 Portal user interface is presented, based on faceted semantic search with seamlessly integrated data‐analytic tools for Digital Humanities research as suggested in the Sampo Model. This application makes it possible to analyze the data without programming skills. Second, the BookSampo SPARQL endpoint API can be accessed directly by SPARQL querying and scripting, using tools such as Jupyter Notebooks. The analysis results presented suggest interesting spatial, temporal, and topical trends in how the Finnish fiction literature has evolved during the last decades. The approach and tools presented in this paper can be used for analyzing literary landscapes developments in other countries as well.