Knowledge graphs (DUS.AD016.118)

Area tematica

Scienze umane e sociali, patrimonio culturale

Area progettuale

Struttura responsabile del progetto di ricerca

Istituto di scienze e tecnologie della cognizione (ISTC)

Responsabile di progetto

VALENTINA PRESUTTI
Telefono: 0644595212
E-mail: valentina.presutti@istc.cnr.it

Abstract

This project aims at investigating methodologies for creating knowledge graphs as well as for using them as objects for empirical research. Research on knowledge graphs creation include ontology development methodologies as well as knowledge extraction for populating knowledge graphs according to ontological models. Empirical research on knowledge graphs focus on looking for recurrent structures i.e. patterns, that may provide evidence of common practices in knowledge engineering or of "unintentional" formalisation of commonsense facts. These patterns can support the validation of foundational / cognitive theories on the way humans organise their knowledge cognitively, e.g. frame theory. In addition, knowledge graphs can be used in order to test semantic hypotheses as input of deep learning models for commonsense reasoning tasks e.g. natural language generation / understanding.

Obiettivi

To identify recurrent (modeling) structures in knowledge graphs
To test semantic hypotheses over deep learning models for natural language processing
To build commonsense knolwedge graphs

Data inizio attività

01/05/2020

Parole chiave

knowledge graphs, common sense reasoning, frames

Ultimo aggiornamento: 20/05/2024