Using Business Data in Customs Risk Management: Data Quality and Data Value Perspective

With the rise of data analytics use in government, government organizations are starting to explore the possibilities of using business data to create further public value. This process, however, is far from straightforward: key questions that governments need to address relate to the quality of this external data and the value it brings. In the...

Integrating heterogeneous data sources using rule-based reasoning, backward-chaining and custom built-ins

Data-driven policy making: The policy lab approach

Runtime Modifications of Spark Data Processing Pipelines

Distributed data processing systems are the standard means for large-scale data analysis in the Big Data field. These systems are based on processing pipelines where the processing is done via a composition of multiple elements or steps. In current distributed data processing systems, the code and parameters that create the pipeline are set at...

Complex event processing for content-based text, image, and video retrieval

This report summarizes the findings of an exploratory team of the North Atlantic Treaty Organization (NATO) Information Systems Technology panel into Content-Based Analytics (CBA). The team carried out a technical review into the current status of theoretical and practical developments of methods, tools and techniques supporting joint...

Challenges and future research needs towards international freight transport modelling

The advanced internationalisation of markets and production processes continuously adds to the complexity of supply chains. At the same time improving the sustainability of the related international freight transport processes and optimising their efficiency is becoming a topic of central relevance. International freight transport models are an...

Ontology Matching for Big Data Applications in the Smart Dairy Farming Domain.

This paper addresses the use of ontologies for combining different sensor data sources to enable big data analysis in the dairy farming domain. We have made existing data sources accessible via linked data RDF mechanisms using OWL ontologies on Virtuoso and D2RQ triple stores. In addition, we have created a common ontology for the domain and...

Inference of vessel intent and behaviour for maritime security operations

Coastguard and Navy assets are increasingly involved in Maritime Security Operations (MSO) for countering piracy, weapons and drugs smuggling, terrorism and illegal trafficking. Persistent tracking of vessels in interrupted time series over long distances and the modelling of intent and behaviour from multiple data sources are key enablers for...

Structural incidents in the Netherlands: A comparison of three databases

After several major structural incidents in The Netherlands, various initiatives have been started to improve structural safety. Research studies were initiated on the characteristics, causes and consequences of structural incidents. In this paper the results of three of these research studies are compared. Each study uses different data sources...

Perinatal health monitoring in europe: Results from the EURO-PERISTAT project

Data about deliveries, births, mothers and newborn babies are collected extensively to monitor the health and care of mothers and babies during pregnancy, delivery and the post-partum period, but there is no common approach in Europe. We analysed the problems related to using the European data for international comparisons of perinatal health....

Modeling, validation, and simulation of massive self-organizing wireless sensor networks with cross-layer optimization and congestion mitigation techniques

TNO has formulated the ambition of founding a basis for the development of flexible multi-data source and multi-application (ad hoc) sensor networks. These networks are envisioned on a scale that is beyond networks for specific and separate sensor networks. These separate networks need in the future to be combined intelligently in order to...