Multilingual Analysis and Visualization of Bibliographic Metadata and Texts With the AVOBMAT Research Tool

Abstract

The objective of this paper is to introduce the workflow of the AVOBMAT (Analysis and Visualization of Bibliographic Metadata and Texts) multilingual research tool, which enables researchers to critically analyse bibliographic data and texts at scale with the help of data-driven methods supported by Natural Language Processing (NLP) techniques. This exploratory tool offers a range of dynamic text and data mining tasks and provides interactive parameter tuning and control from the pre-processing to the analytical stages. It can pre-process, analyse and (semantically) enrich a vast number of texts and metadata in several languages due to its scalable infrastructure. The implemented analytical and visualization tools provide close and distant reading of texts and bibliographic data. It combines bibliographic data and NLP research methods in one integrated, interactive, user-friendly web application, allowing users to ask complex research questions.

Keywords

• data analysis
• bibliographic data
• content analysis
• linguistic analysis
• modelling
• databases
• multilingualism