Industry

In taxonomy for information management or web publishing, you are limited by the shape of the content. However granular your terms, most CMSs  can only apply them to whole documents or pages. Some organizations have more complex content management needs. Regulated industries need legal approval for individual paragraphs.

Most pharmaceutical companies lack horizontal process integrations; each business silo manages a subset of information around development and product life cycle. During the life span of a product the same characteristics are exchanged by various disciplines. Different formats are being used, supported by different vocabularies.

In my presentation I will show the registry of clinical data that we implemented for the Polish Society of Surgical Oncology (PTChO). This application is in production since the beginning of 2016.

To obtain authorization to bring a medicinal product on the market, 200,000 pages of text need to be submitted. The upcoming effectuation of the IDMP directive (EU) forces pharma companies to submit datasets instead. This has enormous impact. The challenges that this poses are manifold. Semantic Web technology is optimally positioned to address many of these.

Structured authoring means that organizations must change the behaviour of their authors. Engagement of authors, reviewers and contributers is the key-succesfactor for organizations who are moving to structured content.  

Elsevier – a global scientific publisher – is leading the way in advancing science, technology and health. Core to this strategy is the continuous priority to develop content that covers more domains, show increased quality, offer more features and integrates better with analytics and technology.

This presentation will show how different software development processes like requirements engineering, bug-tracking and customer support can be enhanced by using semantic web technologies. With the help of an extraction pipeline all information e.g.

The main challenge - and opportunity - facing enterprises today is not the *volume* of data at their disposal, it's the *variety* of data. Important information is kept in silos in many formats and shapes, with little or no semantic context.

This presentation shares one company’s journey, spanning more than ten years, to build “a killer app for the Semantic Web”. The company has sought to create a tool that could lower the Linked Data learning curve and make semantic computing more readily accessible to everyday web developers and common organizations.

Linked Data and the Semantic Web have been around for quite a while and have been hyped again and again. In the meantime, a large number of enterprises and even whole industries have adopted semantic web technologies for several purposes.