Multilevel Browsing of Folksonomy-Based Digital Collections

TL;DR

This paper introduces a multilevel browsing method for folksonomy-based digital collections, enabling incremental filtering through a finite automata strategy, demonstrated with experiments in the Clavy digital collection management system.

Contribution

It extends traditional single-level folksonomy navigation to a multilevel approach using finite automata, enhancing filtering capabilities in digital collection browsing.

Findings

Effective multilevel filtering demonstrated in Clavy

Finite automata enable incremental narrowing of collections

Improved user navigation in folksonomy-based systems

Abstract

This paper describes how to extend the usual one-level tag selection navigation paradigm in folksonomy-based digital collections to a multilevel browsing one, according to which it is possible to incrementally narrow down the set of selected objects in a collection by sequentially adding more and more filtering tags. For this purpose, we present a browsing strategy based on finite automata. Also, we provide some experimental results concerning the application of the approach in Clavy, a system for managing digital collections with reconfigurable structures in digital humanities and educational settings.