Knowledge graphs (DUS.AD016.118)

Thematic area

Social sciences and humanities, cultural heritage

Project area

Structure responsible for the research project

Institute of cognitive sciences and technologies (ISTC)

Project manager

VALENTINA PRESUTTI
Phone number: 0644595212
Email: 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.

Goals

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

Start date of activity

01/05/2020

Keywords

knowledge graphs, common sense reasoning, frames

Last update: 27/04/2024