BolDH

Library and Information Science (LIS) focuses on the organization of information within bibliographic records. In contrast, Knowledge Organization spans beyond LIS, involving various disciplines, institutions, languages, symbolic and conceptual systems, as well as diverse theories, literatures, and genres.

Knowledge Representation involves formally structuring information to enable computers to tackle complex tasks. It serves as the foundation for the Semantic Web and plays a crucial role in Ontology Engineering. These research domains, along with their associated methodologies and theories, extend their application to the Arts and Humanities sector, as well as the Cultural Heritage domain encompassing Libraries, Museums, and Archives.

Data Science comprises various methods and techniques aimed at manipulating and extracting knowledge from data. Instead of being confined to a specific research domain, the techniques within the Data Science category find applications in diverse areas such as Linguistics, Library and Information Science. The distinctive feature of the /DH.arc research centre lies in its emphasis on data, setting it apart from other technological applications.

Semantic Publishing utilizes Web and Semantic Web technologies to enhance scholarly works with plain RDF statements, nano-publications, and similar techniques aiming to improve discoverability, interactivity, openness, and (re-)usability for both humans and machines. These principles of openness align with the FAIR (Findable, Accessible, Interoperable, Re-usable) data principles, extending the commitment to open practices in research data publication.

Computational Linguistics is a field dedicated to investigating the application of computational methodologies to address various linguistic questions. The primary objective is to employ these approaches to generate statistical analyses and models derived from natural language, contributing to a deeper understanding of linguistic phenomena through the lens of computational tools and techniques.

Digital Philology employs technical solutions for studying, manipulating, and publishing literary texts. Rooted in humanities, it takes an interdisciplinary approach to problem-solving. A notable output is the creation of Digital Scholarly Editions, with Semantic Web technologies enabling the development of enhanced applications known as Semantic Digital Editions.