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

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-05
DOI
https://doi.org/10.5281/zenodo.12806146
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Athena Research and Innovation Center In Information Communication & Knowledge Technologies (GR)
Quality Education
Openalex Percentile: Top 60%
Functional Brain Connectivity Studies
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Deliverable D3.1: Initial version of the smart impact-driven discovery service · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS