Discovering Hidden Knowledge in University’s Library.

University of Leicester Logo - Nebuli

Nebuli applied AIQ Large Language Models to unearth University of Leicester‘s hidden world of knowledge within their library’s research papers and datasets.

Key Services

  • Augmented Analytics

  • Deep Data Mining

  • Data Strategy

  • Data Pre-processing

  • Data Modernisation

  • Smart Search

Key Markets

  • Academic Research

  • Knowledge Discovery

Nebuli - University of Leicester Data Clusters.
Objectives

Since Nebuli is independent of any data formats, platforms and languages — allowing easier and faster cross-disciplinary and cross-regional data integrations and interoperability – it allowed the University of Leicester (UoL) Library team to facilitate the revelation of hidden knowledge and undiscovered trends within their research papers and Excel sheets of citations.

Nebuli’s Solution

Nebuli helped the UoL’s library to visualise the hidden world of their internal research papers, facilitating new interdisciplinary and interdepartmental R&D collaborations.

  • Data preprocessing (cleansing and convergence) of the library’s unlabelled database – generated from 13,000 preselected research papers.

  • Data segmentation, with a particular focus on identifying communities within the same database. This process allowed the university to identify and connect researchers and departments with similar subject interests, including those working in seemingly unrelated research.

  • Applying Nebuli’s smart search API for full-text and abstracts across similar documents, generating a unique measure of similarity.

  • Providing users with augmented intelligence tools that evaluate the quality of the defined groups, generating keywords that represent the content of each group.

In addition, this model was combined with downloaded libraries from PubMed (comprising over 30 million citations) and are currently working on indexing further open online libraries, such as Google Scholar and Archive.org.

Outcomes

Nebuli helped the UoL’s library to visualise the hidden world of their internal research papers, facilitating new interdisciplinary and interdepartmental R&D collaborations and identification of new funding opportunities.

3D representation (generated by UoL’s internal systems) of Nebuli’s advanced data segmentation capabilities, combining such parameters as areas of interest, time tendency/trends, authors’ contributions, institutions’ contributions, citation scoring and much more.

In addition, this model was combined with downloaded libraries from PubMed (comprising over 30 million citations) and are currently working on indexing further open online libraries, such as Google Scholar and Archive.org.

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