Visualization analysis of the evolution of indexing and the subject migration-based on the view of internationalization

摘要

(1)Based on the analysis of the disciplines distribution and the published articles of indexing, we can see that the study of indexing appears the phenomena of subject migration. The indexing research can be traced back to 1936. Computer Science is the most cardinal subject on international indexing research, the number of published articles is 5253, and the peak is in 2006; whereas the number of published articles in Information Science and Library Science field is only 847, and the peak in this field is in 2001. From above, we can see that the main subject on indexing research has transferred. (2)This paper believes that the development of indexing research can be classified into three stages through the analysis of disciplines distribution and highly cited literatures at home and abroad: the period of Bibliography Indexing, the period of database indexing and indexing under the network environment. In the evolutional process of indexing research, we found that there are two turnings in this process: ①along with the expansion of the computer application, the indexing has transferred from manual type to database indexing;②in the network environment, the rapid growth of information makes database indexing not to satisfy people's needs, so a new indexing- indexing under the network environment. In this process, the indexing research realized the migration from Information Science and Library Science field to Computer Science and formed the represented research team including Guttman and Deerwester. As the key researcher of indexing field, they immeasurably contributes to the development of indexing study。 (3)Through the visualization analysis of research hotspots of indexing, we can see that the international indexing research is focus on semantic indexing, indexing technology, indexing method, information retrieval, based on image content of research, an XML document retrieval, databases, search engines and automatic indexing and so on.