»The NordLink project aims to establish an independent and transparent internet search index, comparable to Google, for services such as LLM training in AI applications.«

Prof. Dr.-Ing. Jorge Marx Gómez
Professor of Business Informatics/VLBA, University of Oldenburg, Germany

Project NordLink – A Northern Europe Federated Open Web Search Data Center

The NordLink project aims to establish an independent and transparent internet search index, comparable to Google, for services such as LLM training in AI applications.

The Primary objective of the project NordLink will be to connect our storage and HPC resources with the OWS infrastructure and participate in web crawling and indexing activities.

The aim is to demonstrate that we are technically able to participate in the crawling and further processing of the index data as a local data center. The challenge lies in the current primary phase which is not so much the provision of technical resources, but rather the technical connection of storage space and computing resources (HPC) to the distributed OWS infrastructure via specialized interfaces.

Objectives in the primary phase:

Integration of our data center’s storage and HPC resources with the OWS infrastructure.
Ensuring seamless connectivity and data flow between local systems and the OWS network.
Implementing and maintaining interfaces for data exchange and processing.
Conducting web crawling and indexing in the next phase to support the OWS search index.

Why is it relevant for OpenWebSearch.eu?

By participating in OpenWebSearch.eu, we aim to enhance our capabilities and contribute to the development of a significant and impactful web search infrastructure. We are committed to ensuring the success of the OWS project through dedicated efforts and collaboration with our partners.

This Third-party call will provide local connectivity of our storage and HPC resources to the OWS infrastructure. We are also committed under this Third-party call to conduct web crawling and indexing to support the OWS Search Index.

This will also allow us to have a local availability of the index as a basis for ML applications especially with regard to solving practical problems.

Prof. Dr.-Ing. Jorge Marx Gómez
Chair of Business Informatics/VLBA I University of Oldenburg, Germany

Key Research Areas:

Business Application and Information Systems
Operational Environmental Information Systems
Data Science and Artificial Intelligence
Block Chain

Projects:

National and International Research Projects
Close Cooperation with Industry through Research Collaborations

Khurram Shehzad, M.Sc.
Researcher I University of Oldenburg, Germany

Education:

BSc. Electronic Engineering (SSUET Karachi, Pakistan)
MSc. Control Microsystem Microelectronic (Universität Bremen)

Current Projects:

NORDLINK
DeTail (Detection of Tail Biting) at Universität Oldenburg

Previous Projects:

ADaptive Low-Latency SPEEch Decoding and synthesis using intracranial signals (ADSPEED) at University of Bremen
GABRIEL (Ganzheitliche, HyBrid-ElektRIsche AntriebskomponEnten für die Luftfahrt) at RWTH Aachen
SeMoSys (Virtuelle Sektionsmontage und Systeminstallation) at DFKI
Using Reinforcement learning to compute State dependent PI State Space Controller for Non-Linear System at University of Bremen

Specialization:

Computer Vision, Natural Language Processing, Deep learning, AI
Robotic Perception and Control

Sreedhar Kokkarachedu, M.Sc.
Research Assistant VLBA, University of Oldenburg, Germany

Education:

Master’s degree in Computational Science and Engineering, University of Rostock, Germany

Projects:

MobiLe (Mobility Transition @ Life Quality), University of Oldenburg (11.2021-present)
NordLink (since 10.2024)
Flow simulation using the vortex method with parallel programming on GPU and OpenMP technologies, University of Rostock

Specialization:

Web App, Website Development, Gamification, Parallel programming, Computation