Industry

This paper describes the creation of an RDF ontology designed to sup-port information retrieval needs of journalists and media professionals.

Analyzing diverse data from multiple sources evokes intelligence - the ability to acquire and apply knowledge and skills -  and reasoning is of the skills we need to make sense of the world around us.

CHANCELED

This presentation shows the application of semantic technologies to company internal data sets. We are calling our approach “semantic roundtripping”. There are four specific aspects of this approach. First, we focus on semantic processing of XML data sets, using format preserving enrichment. Second, we are careful not to break existing XML based workflows.

Recommender Systems (RS) have taken the center place in contemporary e-commerce marketplaces. And RS guides customers towards such items that best meet their preferences and requirements. Although there are many RS techniques including content-based, collaborative filtering, knowledge based etc., each technique has some downsides such as data sparsity, cold-start problem, scalability etc.

Engineering and production in aviation inherently have a disproportionally high documentation requirement – both regarding quantity and quality. Technical writers need software support for the integration of (references to) preexisting textual documents and structured data, e.g. CAD drawings and FEM data from engineering.

Research products have evolved a lot in the last decade.  Starting from metadata search, over keyword and fulltext search to more intelligent forms. Customers have always struggled with using the correct (from author's point of view) searchterms.
At Wolters Kluwer we want  help and guide the users from their problem or question toward the right answer within the context of a document.

DALICC  is a software framework that supports legal experts, innovation managers and application developers in the legally secure reutilization of third party data sources.

For semiconductor manufacturers it is important to be able to track and trace the physical movement and status of products as they travel through the supply chain. In the event of quality issues, the ability to quickly and accurately identify a defective product, analyze the root cause and contain impacted parts is critical.

In this presentation we will introduce modom.io, a model-driven development platform based on Semantic Web ontologies. We will talk about our motivation, the solution architecture, the challenges we encountered during development and future goals. In a live demonstration we will show how it can be used to model ontologies using the Linked Open Data cloud.