Data Science Seminars - Knowledge Management with Graphs in Legislation
Wednesday, May 28, 2025 | 5:00 p.m.
Data Science and Bioinformatics Lab (Building 21)
Dipartimento di Elettronica, Informazione e Bioingegneria - Politecnico di Milano
Speaker: Andrea Colombo (Politecnico di Milano)
Data Science and Bioinformatics Lab (Building 21)
Dipartimento di Elettronica, Informazione e Bioingegneria - Politecnico di Milano
Speaker: Andrea Colombo (Politecnico di Milano)
Contatti: Silvia Cascianelli | silvia.cascianelli@polimi.it
Abstract
Wednesday, May 28, 2025 at 5:00 p.m. Andrea Colombo (Politecnico di Milano) will hold a seminar titled "Knowledge Management with Graphs in Legislation" in the Data Science and Bioinformatics Lab (Building 21). The event is part of the Data Science Seminars organized by the Data Science Lab at Politecnico di Milano.
The growing adoption of graph databases and knowledge representation technologies is transforming how complex knowledge is modeled across industries. In the legislative domain, where normative acts are intricately connected through citations, these tools offer innovative solutions for knowledge management. In this talk, I present a novel approach to legislative knowledge management using property graph databases. I will outline a unifying graph schema for modeling legislation and demonstrate its application through case studies, including Italian and the US federal legislation. By leveraging LLM-assisted pipelines and advanced graph queries, I will show how a graph modelling enhances navigation, knowledge discovery, and advanced management of legislative knowledge.
The growing adoption of graph databases and knowledge representation technologies is transforming how complex knowledge is modeled across industries. In the legislative domain, where normative acts are intricately connected through citations, these tools offer innovative solutions for knowledge management. In this talk, I present a novel approach to legislative knowledge management using property graph databases. I will outline a unifying graph schema for modeling legislation and demonstrate its application through case studies, including Italian and the US federal legislation. By leveraging LLM-assisted pipelines and advanced graph queries, I will show how a graph modelling enhances navigation, knowledge discovery, and advanced management of legislative knowledge.
