Work

Deliverable D3.1: Initial version of the smart impact-driven discovery service

Year: 2024

Type: article

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 could (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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.12806146

Authors: Vergoulis, Thanasis, Chatzopoulos, Serafeim, Kotitsas, Sotiris

Institution: Athena Research and Innovation Center In Information Communication & Knowledge Technologies

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: European Commission

Award: Democratising and making sense out of heterogeneous scholarly content