Industry

In the past years, standardization in IoT has largely focused at the technical communication level, leading to a large number of different solutions based on various standards and protocols, with limited attention to the common semantics contained in the message data structures exchanged at the technical level.

Knowledge graph visualization is a big challenge but at the same time a huge success factor for a project. Often, graph visualizations are used but they do not cover all use cases, especially in an industry project. Thus, designing user interfaces for an information system based on semantic models takes a lot of time and effort.

This presentation showcases FREME, a framework for multilingual and semantic enrichment of digital content, in two industry domains. FREME deploys several industry and community standards from the area of data and language processing, to ease the creation and adaptation of enrichment applications.

This presentation aims to describe the adoption process of semantic web public data standards in Slovak Republic focusing on real use case scenarios. The standardization process started in 2013 under the Ministry of Finance where the main goal was to use URI for public resources. Since then a lot of work was done to enable usability of public linked data.

Document categorization and indexing is often either purely manually rule-based or  purely driven by statistics. In real-world scenarios the short comings of both approaches, respectively, prove problematic: Rule-based approaches require a lot of resources and insight. Statistical approaches require considerable training data which my not be available.

The massive amount of content being produced inside and outside the newsroom needs to be organized and curated to meet the evolving demands of the audience. Throwing news online without context and analysis simply doesn’t work when the focus for digital news is on interactivity, engagement and community.

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.