Data Sources,Indicators and Their Significance in the Research on Classical Chinese Literature
The research on classical Chinese literature requires datafication,with bibliographic catalogs and texts of works serving as data sources.Catalogs of book titles,titles of works,chapters and sections in literary history,and works of literary research can all be transformed into literary data.Elements such as literary genres,themes,characters,commentaries,research,dissemination,and acception within the texts of works can also be extracted as data.As diverse types of data carry different significances,the directory data from collected works of a particular dynasty can be used to analyze the evolution of literary styles.The directory data from prose and verse anthologies can be used to assess the influence of an author's works.The directory data of chapters and sections from literary history can reflect the status of writers,as well as the literary views and value standards of compilers,which may change over time.The directory data from academic writings can be statistically analyzed to track the development process of academic history.The data regarding authors'lifetime and their works can reveal the spatiotemporal distribution of authors,while the data concerning the characters within the works can help explore authors'social relationships and their influence.However,the data of literary research may have their limitations.An organic combination of qualitative and quantitative analyses is essential to the effective solution to various issues in literary research to the maximum extent.
research on classical Chinese literaturedigital humanityquantitative analysisdatafication
万方数据
