Industry

​Many organisations are adopting a form of  Structured Content Authoring (SCA). This to increase content consistency, discoverability, semantic quality of content, in a multi-channel world.

The talk and demonstration will highlight the development, at the Organisation for Economic Co-operation and Development, of “O.N.E Sight”,  a fully semantic reading assistant, which unleashes the power of the triples, the result of 3 years of capacity building, developments and cross functional team work.

We will outline the project approach, the learning curve the team went through, the intellectual and technical challenges faced as issues linked to new ways of handling information, silos, traditional text-indexation, lack of text fragmentation and semantic links, reconciliation of semantic and textual searches, representation issues and more had to be addressed.
We will describe the long march towards semantic annotation and the emphasis placed on the quality of the tagging.  This will include: i) development, maintenance and use of the OECD central Taxonomies and Ontologies  in the semantic analysis tools,  ii) hazards of semantics (fuzziness, context, acronyms and disambiguation), iii) creation of a golden corpora, annotation quality testing, multi-view annotation graphs and iv) development of tools to identify ‘knowledge nuggets’, such as socio-economic indicators, by tagging semantic relationships within texts. The methodology used to develop these quality tagging applications, persistently returning high precision and recall statistics (around 95%) to ensure reliable results enabling the use of the tags in a production environment, will be described.

​We present the Unified Governance use case as part of the ALIGNED research project to bring together data engineering and software engineering. As part of the PoolParty development process, we identified challenges that can be coped by aligning data issues and software development process to support each other.

• Big Data solutions typically focus on structured data
• But the majority of information contains unstructured data

In this talk we show that LOD annotations are a powerful tool for semantic enrichment of Social Media microposts, allowing for reasoning with information that is not transmitted directly through the Social Media channels, but available in rich knowledge bases.

Different small group discussions with a large group of participants: Several coffee houses are set up in parallel, focusing on different viewpoints and questions. You enter the Cafés one after the other in a set frequency, mixing with your fellow colleagues and continuing discussions which were started by another group before.

Four to five chairs are arranged in an inner circle. This is the fishbowl. The remaining chairs are arranged in concentric circles outside the fishbowl. A few participants are selected to fill the fishbowl, while the rest of the group sit on the chairs outside the fishbowl. In an open fishbowl, any member of the audience can, at any time, occupy the empty chair and join the fishbowl. When this happens, an existing member of the fishbowl must voluntarily leave the fishbowl and free a chair. The discussion continues with participants frequently entering and leaving the fishbowl. When time runs out, the fishbowl is closed and the moderator summarizes the discussion.

The growing use and popularity of sensors and monitoring devices in the context of industries has paved the way not only for new analysis approaches but also for new insights in the production chains. Nevertheless, the potential of this data, especially for optimizing the maintenance process, has not yet been fully used.

In the Dutch SmartDairyFarming project, better decision support for the dairy farmer on daily questions around feeding, insemination, calving and milk production processes is made possible using a variety of big data sources containing static and dynamic sensor data of individual cows.