Best poster award for knowledge graph technology

19 June 2024

Marie Beckman

Olaf Hartig at the division Database and Information Techniques (ADIT) has won the Best Poster Award at the ESWC 2024 conference, which is one of the two top conferences on knowledge graphs and semantic web technologies.

The poster paper entitled "Datatypes for Lists and Maps in RDF Literals" was honored with the best poster award at the 21st Extended Semantic Web Conference (ESWC) in June 2024. It is authored by Olaf Hartig, Gregory Todd Williams, Michael Schmidt, Ora Lassila, Carlos Manuel Lopez Enriquez, and Bryan Thompson and presents work that Olaf Hartig, division ADIT at the Department of Computer and Information Science, has done in his role as an Amazon Scholar with the Neptune graph database team at Amazon Web Services.

Poster description by Olaf Hartig

A knowledge graph is a form of graph-structured database intended to capture knowledge about entities and their relationships. Motivated by their suitability for powering artificial intelligence (AI) applications, for connecting data about customers or products, and for data integration, knowledge graphs have become an important topic for many of today's data-driven enterprises, including Swedish companies such as Scania, Ericsson, and IKEA.

The prevalent approach to represent and to query knowledge graphs is via the graph data model of the Resource Description Framework (RDF) and its query language called SPARQL.

The awarded poster paper introduces an approach to extend the SPARQL with built-in support for generic types of composite values (lists and maps in particular). The lack of features to capture and to query such composite values has been a considerable limitation for graph database users and knowledge graph applications. The proposed approach facilitates a broad range of use cases, including the integration of lists of all kinds into knowledge graphs (for example public transport timetables, series of measurement values), the direct annotation of entities in a knowledge graph with embedding vectors for machine learning and neuro-symbolic AI applications, as well as a more streamlined integration of knowledge graph technology into the broader data ecosystem within organisations. The ultimate goal is to bring the proposed approach to standardisation by the World Wide Web Consortium (W3C) as extensions of the RDF and SPARQL standards. To this end, the poster paper is accompanied by a complete formal specification of the proposed approach, a comprehensive test suite for implementers, and two open source implementations.

The poster paper can be downloaded here.
The Github repository contains relevant material related to the approach.

Contact

Award winners at IDA

Best paper award in automated planning

David Speck and Daniel Gnad at the Department of Computer and Information Science have won the Best Paper Award at the Conference ICAPS 2024, one of the most important conferences for automated planning, a topic in artificial intelligence.

Two men at a stage shaking hand and smiling against the public, one of them holding a paper

International recognition for AI researcher at LiU

EurAI, a representative body of the European AI community, has awarded LiU researcher Mattias Tiger for his doctoral thesis. He may be the first Swedish researcher to receive such an award.

Award winners at IDA in 2023

We are proud to present awards received by students, teachers and researchers at the Department of Computer and Information Science, IDA, Linköping University.

Organisation

Database and Information Techniques (ADIT)

The division Database and Information Techniques is part of the Department of Computer and Information Science. The division consists of several research groups, each of which has its own research profile.

Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.

Latest news from LiU

Two men in white lab coats with a computer in a lab.

Improving Alphafold to predict very large proteins

The AI tool Alphafold has been improved so that it can now predict the shape of very large and complex protein structures. Linköping University researchers have also succeeded in integrating experimental data into the tool.

Rinata Kazak looking down at her jacket.

LiU researcher ahead of UN climate summit - "I’m optimistic"

Azerbaijan will host the International Climate Summit this year. Although the country is heavily dependent on its oil production, holding the meeting there could actually be an advantage, according to Rinata Kazak, who will represent LiU.

Working together for a less biased world

In what ways does modern technology risk giving us a distorted picture of the world? Seeking answers, researchers at Tema Genus are working with colleagues in computer science.