KNowledge On Web Scale

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

Work with us

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
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

Implicit quantification made explicit: How to interpret blank nodes and universal variables in Notation3 Logic

by Dörthe Arndt et al.

Since the invention of Notation3 Logic, several years have passed in which the theory has been refined and applied in different reasoning engines like cwm, EYE, and FuXi.

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Predicting phase durations of traffic lights using live Open Traffic Lights data

by Brecht Van de Vyvere et al.

Dynamic traffic lights change their current phase duration according to the situation on the intersection, such as crowdedness.

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Decentralized Publication and Consumption of Transfer Footpaths

by Harm Delva et al.

Users expect route planners that combine all modes of transportation to propose good journeys to their destination.

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Running projects

ESSENCE
ESSENCE

Project type

Human perspectives into a smart city platform that collects many media types, from personal devices and public displays to augmented reality. The ultimate goal is to create interactive stories embedded in the city environment about civic actions that boost engagement in these projects.

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DyVerSIFy
DyVerSIFy

Project type

Mining sensor data can give companies valuable insights into their assets and activities. But as technology advances, analyzing and visualizing the data becomes increasingly time- and resource-intensive. The DyVerSIFy project aims to develop software components and methodologies in the domains of dynamic visualization, adaptive anomaly detection and scalability to drive dynamic, adaptive and scalable sensor analytics.

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FAST
FAST

Project type

Complicated rules, multiple contact points, numerous forms and applications and three administrative levels: processes as common as home renovations in Flanders require a lot of manual administrative work. To streamline customer journeys and simplify processes, municipalities and other public organizations would benefit from e-government applications. However, implementing these solutions is challenging, considering the lack of well-structured content and the need to integrate legacy systems. FAST aims to tackle the challenges to e-government adoption by creating an engine to automatically generate customer journeys from existing unstructured content – the ideal collection of digital interaction points between public services, organizations and citizens – for a range of public tasks.

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