A System for Probabilistic Linking of Thesauri and Classification Systems

TL;DR

This paper introduces a system that uses probabilistic models to link and visualize relationships between thesaurus concepts and classification system classes, aiding users in understanding semantic connections.

Contribution

It applies the PLL-TM model to automatically generate and visualize probabilistic links between thesaurus descriptors and classification classes based on document data.

Findings

Successfully creates probabilistic links between thesaurus and classes

Provides interactive visualization of semantic relationships

Enhances understanding of concept-class associations

Abstract

This paper presents a system which creates and visualizes probabilistic semantic links between concepts in a thesaurus and classes in a classification system. For creating the links, we build on the Polylingual Labeled Topic Model (PLL-TM). PLL-TM identifies probable thesaurus descriptors for each class in the classification system by using information from the natural language text of documents, their assigned thesaurus descriptors and their designated classes. The links are then presented to users of the system in an interactive visualization, providing them with an automatically generated overview of the relations between the thesaurus and the classification system.