Access Data Mining: A New Foundation for Added-Value Services in Full-Text Repositories

Abstract

This presentation explores the potential of access data mining to develop added-value services for full-text repositories. It emphasizes the importance of advanced usage statistics and enhanced metrics to improve repository functionalities. Key ideas include automatic metadata generation, dynamic publication management, collaborative review processes, and visual network graphs for exploring author and publication connections. The discussion also addresses interoperability challenges and advocates for standardized identifiers and metadata to facilitate seamless access and integration across repositories, highlighting the need for both technical advancements and international collaboration.