Description of the RI

QULTO and DH-LAB linked research infrastructures

A versatile research platform has been created by connecting the Qulto research infrastructures, developed with the professional assistance of the Department of Digital Humanities of ELTE BTK, with the support of the National Laboratory of Digital Heritage, and created by Monguz Information Technology Ltd. and deeply embedded in the national scientific space.

QULTO research infrastructure

The Qulto Research Infrastructure is a distributed and virtual, domain-independent research infrastructure that provides essential support for the digitization, storage, organization, retrieval, publication, reuse, and search for relevant sources and plagiarism of higher education and research content in Hungary.

Some of its modules are used by 146,500 researchers and students in 98 research institutions, making 50+ million national metadata and 1.3+ million digital objects available, with 9,942,000 transactions in 2020.

DH-LAB research infrastructure

The Digital Heritage National Laboratory (DH-LAB), in close cooperation with Monguz Information Technology Ltd. and other consortium partners, has created a hardware and software infrastructure for the artificial intelligence-based processing, research, education and publication of national cultural heritage using proprietary language processing applications optimized for the Hungarian language. Special attention will also be paid to the integration of cross-border corpus and to the preservation, processing and delivery of Hungarian-language born digital content.

The QULTO and DH-LAB integrated research infrastructure will provide the following activities and services:

Activities and Services

• metadata management
• optional digital file manager, repository and data repository (Invenio RDM, DSPACE, Eprints, OMEKA, etc.)
• source and plagiarism finder,
• thesis manager,
• editorial system (OJS),
• discovery/search,
• semantic knowledge base, Wikifier/HUWikifier based semantic web building based on metadata,
• digitization framework (machine learning assisted OCR, proofreading, DRM),
• TEI XML visualization (e.g. by displaying annotations and other data),
• PDF annotator,
• e-learning, e-publishing,
• data visualization,
• data and content aggregator