SciLake Deliverable D3.2: Final version of the smart impact-driven discovery service

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Authors: Thanasis Vergoulis, Serafeim Chatzopoulos, Sotiris Kotitsas
Cited by: 0

Abstract

In this deliverable report, we describe the beta release of a smart knowledge discovery service, which has been developed in the context of the SciLake project and leverages SciLake’s Scientific Knowledge Graphs (SKGs) and the various technologies provided by the Scientific Lake tier of SciLake’s architecture. The service is designed to leverage the contents of the Scientific Lake to calculate indicators of scientific impact for research products and offer, based on them, useful functionalities to researchers so that they are able to (a) prioritise their reading of the relevant literature when searching for a specific subject of interest (b) uncover latent knowledge that could be instrumental in accelerating their research conclusions, and (c) identify emerging trends related to research topics of interest. The report provides references to the respective open code bases and elaborates on the technical details related to the development of the various components.

Fields of Study & Subjects

scientometrics and bibliometrics research Recommender Systems and Techniques Optics and Image Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Language
EN