Data Science, giving insights and meaning to your data and data of others

The Data Science department at TNO brings together expertise in structured and unstructured data, data infrastructure and data governance, with a particular emphasis on data analytics and semantic technologies. In a world of connected people and devices, data, both complex data and Big Data, is becoming of ever greater importance. Our core mission is to make sense of this data, to help companies and authorities to manage their data and to enable them to make better decisions from both a societal and a business perspective.

Giving meaning to data

The significance of data in our society and in the economy is increasing. People and devices around us generate more and more data. The growth in the number of smartphones, smart meters and fitness gadgets and now the Internet of Things is going to provide even more sources of data. The existing big challenges grow in importance: what data to share, how to share data and how to make sense of data. As a consequence of the growth of different data sources the need for data standards, data analytics, data infrastructures and better data governance has risen. More data means also that data security, personal privacy and cybersecurity become immensely important for society, having implications for policy and regulation as well.

TNO offers two knowledge fields; ‘Data Analytics’ and ‘Connected Business’ which cover the different aspects of data, both having the use and application of the data as their core concern.

Insights in Big data

Knowledge field ‘Data Analytics’ focuses on the analysis of unstructured or semi structured data. Topics that we work on in this knowledge field include text mining, behavioural informatics, privacy preserving analytics, graph analysis and machine learning. TNO develops and applies techniques for processing unstructured or semi structured data. The team ‘Data Analytics’ converts data into information and focuses on the analysis and visualisation of large amounts of complex data, often coming from different sources, in different formats. The techniques are applied to give companies insights into the large amounts of data which they possess and to give authorities insights into what is happening in a more and more digital world. TNO works, amongst others, on the following topics:   

  • Text mining: natural language processing, automatic topic identification, information retrieval.
  • Privacy preserving analysis: analysis on encrypted data, data mining related to privacy and methods for secure storage.
  • Behavioural analytics: automatic recommendations, user profiling, modelling human behaviour.
  • Cross domain analytics: heterogeneous data analysis, combining sensor and technical data from various domains (telecom, networks, web)
  • Structured data analysis: knowledge graphs, graph databases, analysis of social networks

The main application domains that TNO are currently working in are security (illegal activities on the (Dark)web and law enforcement), media, smart cities and industries, sports and health.

Sharing of data: meaningful information exchange

Knowledge field ‘Connected Business’ focuses on sharing data in a structured and meaningful manner both within and between organisations and devices. Topics that we cover in this knowledge field are interoperability, semantic technologies, data infrastructures and data governance. We create solutions for electronically sharing information in an efficient and controlled manner. These solutions enable meaningful information exchange within industrial and commercial sectors and across domains. TNO is thus helping and enabling companies, authorities and people to establish new ways of collaborating in a dynamic world. TNO specialises in the following topics:

  • Semantics: domain modelling and ontologies, standardisation of vocabularies and data models
  • Interoperability architectures: linked and open data, data infrastructures, federated platforms, block chain technologies
  • Digital ecosystem governance: data governance, management of open standards and open data

The main application domains that Connected Business is currently working in are logistics, supply chains, agrifood, smart cities, smart industry, government, IoT, and business services.

Do you want to get more insights in your big data of do you want to exchange ideas about how to set up your information exchange in a controlled and meaningful manner then please contact us.

Our work

Standardisation of semantics

In today's network economy, organisations work closely together in 'chains', and information exchange takes place on a vast scale. Interoperability makes cooperation between organisations more effective... Read more
News

INTERPOL training on Darknet and cryptocurrencies targets organized crime

22 August 2016
Identifying criminals and organized crime networks within the Darknet and their modus operandi to avoid law enforcement detection was the focus of a five-day specialized training course hosted at the INTERPOL... Read more
News

Prime minister Rutte opens The Smart Connected Supplier Network fieldlab at Hannover Messe

25 April 2016
Today at the Hannover Messe Dutch prime minister Rutte and FME and Smart Industry chair, Ineke Dezentjé Hamming, opened the Smart Connected Supplier Network fieldlab. The fieldlab focuses on collaboration... Read more

We use anonymous cookies to enhance the use of our site.