KNowledge On Web Scale

The Knowledge on Web scale (KNoWS) office of IDLab - Ghent University.

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Vacancies

Become our colleague and have an impact on the future of the Web! Find out more about available career opportunities and how to apply.

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Project

Are you interested in working on a project together with us? Find out more about the possibilities and how to get in touch.

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phd
PhD

Are you passionate about the same topics as we are and want to do your PhD with us? Find out more about the possibilities and how to apply.

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master thesis
Research stay

Are you a PhD student who wants to do a research stay with us? Find out more about the possibilities and how to apply.

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master thesis
Master thesis

Are you a student and want to do your master thesis with us? Find out more about the possibilities and how to apply.

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Latest publications

Event Notifications in Value-Adding Networks

by Patrick Hochstenbach, Ruben Dedecker, Ruben Verborgh

Linkages between research outputs are crucial in the scholarly knowledge graph. They include online citations, but also links between versions that differ according to various dimensions and links to resources that were used to arrive at research results. In current scholarly communication systems this information is only made availa…

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Continuous generation of versioned collections’ members with RML and LDES

by Dylan Van Assche, Julián Andrés Rojas Meléndez, Pieter Colpaert

When evolving datasets are used to generate a knowledge graph, it is usually challenging to keep the graph synchronized in a timely manner when changes occur in the source data. Current approaches fully regenerate a knowledge graph in such cases, which may be time consuming depending on the data type, size, and update frequency. We propose a contin…

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Balancing RDF generation from heterogeneous data sources

by Dylan Van Assche

Knowledge graphs in RDF are often generated from heterogeneous data sources to power services. However, knowledge graph generation is an unbalanced effort for producers compared to consumers of a knowledge graph. In this paper, I present my research about (i) investigating current RDF knowledge graph production and consumption approaches, and (ii) …

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Preface for the 3rd Edition of the International Knowledge Graph Construction Workshop

by Anastasia Dimou, David Chaves-Fraga, Freddy Priyatna, Juan Sequeda, Pieter Heyvaert

The third edition of the knowledge graph construction workshop has a special focus on the automatization of knowledge graph construction methods, analyzing their alignment with previous standard but declarative approaches using mapping rules.

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Preface for the 2nd Edition of the International Knowledge Graph Construction Workshop

by Anastasia Dimou, David Chaves-Fraga, Freddy Priyatna, Juan Sequeda, Pieter Heyvaert

The second edition of the knowledge graph construction workshop has a special focus on knowledge graph construction methods that involve or analyze the roles of users in these processes.

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RDF Graph Validation Using Rule-Based Reasoning

by Anastasia Dimou, Ben De Meester, Dörthe Arndt, Pieter Heyvaert, Ruben Verborgh

The correct functioning of Semantic Web applications requires that given RDF graphs adhere to an expected shape. This shape depends on the RDF graph and the application’s supported entailments of that graph. During validation, RDF graphs are assessed against sets of constraints, and found violations help refining the RDF graphs. However, existing v…

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Current projects

AI4FoodLogistics
AI4FoodLogistics

Retail, and the food sector in particular, is a complex environment that requires close cooperation between multiple partners. At the same time, the sector continuously strives to increase efficiency and sustainability, e.g., by reducing waste. However, although all organizations within the supply chain are connected, data often remains stored in silos within each separate company. Within AI4FoodLogistics, we are exploring a federated data ecosystem that brings together data from different stakeholders in the retail ecosystem. The resulting insights will enable optimized forecasting and the development of intelligent algorithms.

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BoB
BoB

Building Information Modelling (BIM) allows making elaborate, information-rich models of building designs. However, there is no easy way yet to couple these models to what is actually happening on-site, during a construction. The BoB project aims to create a 2-way link between BIM models and the actual building, improving building efficiency and avoiding costly errors.

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Mellon Scholarly Communication
Mellon Scholarly Communication

At the basis of this project is a vision of a researcher-centric, institution-enabled scholarly communication system, aligned with the Decentralized Web concepts and technologies, in which researchers use a personal domain and associated storage space as their long-term scholarly hub, and in which the core functions of scholarly communication are fulfilled in a decoupled manner.

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POSH
POSH

POSH (Predictive Optimized Supply Chain) will research and realize methods and software solutions that leverage on the availability of big data to optimize integrated procurement and inventory management strategies. Within the scope of this project, we mainly focus on applications within B2B manufacturing supply chains, incorporating all actions required to bring parts from suppliers to the production or assembly manufacturing companies producing finished products for the consumer market.

SolidLab
SolidLab

To reinforce the trust of its citizens and help companies compete against internet giants, Flanders is leading the race to set a new standard in data protection. A EUR 7 million government investment is providing a major boost for the practical implementations of a technology called Solid. Three of Flanders’ leading universities are joining forces in SolidLab Vlaanderen.

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