Descrizione del progetto
Un lago per la conoscenza scientifica
Proprio come i laghi sono ecosistemi ricchi che ospitano molte forme di vita quali piante e pesci, i «lake» scientifici ospitano i metadati per vari attori della ricerca, tra cui ricercatori, organizzazioni, finanziatori e strutture. Il progetto SciLake, finanziato dall’UE, riunisce 13 partner provenienti da nove paesi al fine di costruire un ecosistema progettato per essere al servizio delle esigenze della comunità di ricerca in senso lato. Nello specifico, consentirà di creare grafi di conoscenze scientifici/accademici e di attuare tecnologie per sostenere la scienza dei dati e le ricerche di estrazione dei grafi. Il progetto contribuirà inoltre alla democratizzazione dei contenuti accademici e dei relativi servizi a valore aggiunto adottando un approccio di gestione orientato alla comunità. Offrendo servizi avanzati e assistiti dall’intelligenza artificiale che sfruttano prospettive di merito scientifico specifiche agli ambiti, SciLake assisterà la navigazione nel vasto spazio delle conoscenze scientifiche.
Obiettivo
SciLake's mission is to build upon the OpenAIRE ecosystem and EOSC services to (a) facilitate and empower the creation, interlinking and maintenance of Scientific/Scholarly Knowledge Graphs (SKGs) and the execution of data science and graph mining queries on top of them, (b) contribute to the democratization of scholarly content and the related added value services implementing a community-driven management approach, and (c) offer advanced, AI-assisted services that exploit customised perspectives of scientific merit to assist the navigation of the vast scientific knowledge space. In brief, SciLake will develop, support, and offer customisable services to the research community following a two-tier service architecture. First, it will offer a comprehensive, open, transparent, and customisable scientific data-lake-as-a-service (service tier 1), empowering and facilitating the creation, interlinking, and maintenance of SKGs both across and within different scientific disciplines. On top of that, it will build and offer a tier of customisable, AI-assisted services that facilitate the navigation of scholarly content following a scientific merit-driven approach (tier 2), focusing on two merit aspects which are crucial for the research community at large: impact and reproducibility. The services in both tiers will leverage advanced AI techniques (text and graph mining) that are going to exploit and extend existing technologies provided by SciLake's technology partners. Finally, to showcase the value of the provided services and their capability to address current and anticipated needs of different research communities, four scientific domains (neuroscience, cancer research, transportation, and energy) have been selected to serve as pilots. For each, the developed services will be customised, to accommodate differences in research procedures, practices, impact measures and types of research objects, and will be validated and evaluated through real-world use cases.
Campo scientifico
- natural sciencesbiological sciencesneurobiology
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesdata science
- natural sciencescomputer and information sciencesknowledge engineering
- medical and health sciencesclinical medicineoncology
Parole chiave
Programma(i)
Meccanismo di finanziamento
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
151 25 Maroussi
Grecia