KNowledge On Web Scale

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

Work with us

vacancies
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 partner
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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sponsorships
Sponsorships

Are you looking for a sponsorship for a course or conference? Do you identify as a women or Black person? Find out more about our sponsorships and how to apply.

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Latest publications

Building materializable querying interfaces with the TREE hypermedia specification

by Pieter Colpaert

Ever since the Web was introduced to access representations of resources via URLs, Web developers have been coming up with ways to make available more specific HTTP responses via more complex URL patterns. Complex URL patterns with features such as the SPARQL query language, GraphQL, OGC Web Feature Services, or free text queries, also come with li…

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RMLStreamer-SISO: An RDF Stream Generator from Streaming Heterogeneous Data

by Anastasia Dimou, Ben De Meester, Gerald Haesendonck, Sitt Min Oo

Stream-reasoning query languages such as CQELS and C-SPARQL enable query answering over RDF streams. Unfortunately, there currently is a lack of efficient RDF stream generators to feed RDF stream reasoners. State-of-the-art RDF stream generators are limited with regard to the velocity and volume of streaming data they can handle. To efficiently gen…

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Event Notifications in Value-Adding Networks

by 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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Implementation-independent Knowledge Graph Construction Workflows using FnO Composition

by Ben De Meester, Gertjan De Mulder

Knowledge Graph construction is typically a task within larger workflows, with a tight coupling between the abstract workflow and its execution. Mapping languages increase interoperability and reproducibility of the mapping process, however, this should be extended over the entire Knowledge Graph construction workflow. In this paper, we introduce a…

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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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FRACTION
FRACTION

Today, centralized stores govern the storage and processing of Big Data. Due to regulation (e.g. GDPR) and increasing awareness of people about data sensitivity, a paradigm shift towards decentralization is imminent. This allows people to control their own personal data, by guarding all public and private data they or others create about them in a vault, and selectively granting access to people and organizations of their choice. Future uses of Big Data are thus bound to shift from a small number of large datasets to a large number of small datasets. As such, the fundamental assumptions on which the current approaches are built to deal with the characteristics of Big Data (Volume, Variety & Velocity) are no longer valid, i.e. volume cannot be tackled by centralising data in a single location, high velocity data streams cannot be sent to a centralised data center and the variety problem cannot be resolved by imposing a single data format. FRACTION supports the shift to a decentralized approach by leveraging Semantic Web technologies. It will investigate 1. algorithms that autonomously distribute the analytics across the decentralized network, while hiding its complexity to the user, 2. decentralized and user-friendly data access control policies, and 3. methods to exploit the heterogeneity of the decentralized network to improve scalability and performance of the analytics.

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MareGraph
MareGraph

MareGraph will build a data architecture for cost-efficient, flexible and sustainable data sharing for a Marine Knowledge Graph. In this project we will collaborate with the Flemish Marine Institute (VLIZ), Digital Flanders and the Italian National Research Council (CNR).

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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Onto-DESIDE
Onto-DESIDE

The Onto-DESIDE (Ontology-based Decentralized Sharing of Industry Data in the European Circular Economy) will address the main challenges facing industry that prevent the efficient sharing of data and making it understandable and usable by humans and machines. The project targets four core project outcomes: - A shared vocabulary in the form of network of ontologies. - An open circularity platform, i.e. a secure and privacy-preserving decentralised data sharing platform. - Methods to find, analyse and assess the new circular value chain configurations. - Validation – demonstrating and quantifying the potential for increased retainment of value.

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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.

RE-ENNOVATE
RE-ENNOVATE

RE-ENNOVATE is an ambitious 3-year project to make home renovation smarter, cheaper, faster and better and re-innovate the process of energetic renovation. As the need for more energy efficient homes is only amplified by the current energy crisis, new tools are necessary for homer owners and professionals to understand which renovation measures work for them. With novel data-driven methods, RE-ENNOVATE will make the benefits and cost of renovations more transparent to individuals, propose personalized renovation packages, and increase automation, while continuously improving all steps by a closed feedback loop. The research consortium includes WTCB, imec, Ghent University, Adaptive, Mosard, Scone, Leuven2030 and Vandereyt. The project runs in cooperation with Flux50 and VLAIO.

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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