The life-science industry is moving towards a data-driven research and production environment, where data represents the main asset and focus of interest. While more data is published as linked (open) data, huge amounts of data remain unused in internal data silos because of substantial integration efforts. A flexible combination of data from different internal and external sources is needed to unlock the potential of big data. To address the variability problem it is essential to enhance the data quality by using common data models and standardized reference terminologies. Since the overwhelming amount of data is unstructured, information extraction and corresponding classification and semantic labeling of content is required.
Semantic technologies provide a solid basis for harmonizing data coming from heterogeneous sources and thus ease integration efforts and enable analytic applications to run on large scale.
In this webinar we provide an introduction/overview to semantic technologies and their role in data-driven research and production environments. We explain where you can use semantic technologies to overcome the variability problem of big data integration, how it will allow you to enrich your unstructured data and help you achieve more effective data analytics.
Are you or your company dealing with heterogeneous data coming from many different sources and you want unlock the potential of your data? Join us for this webinar and learn how semantic technologies can be applied most effectively.
Heiner Oberkampf
Knowledge Engineer
Heiner is a Knowledge Engineer with a specialty in semantics. Before joining OSTHUS GmbH, he worked on his PhD at Siemens AG where he developed a semantic model for clinical information that integrates clinical data with medical knowledge and created sematic models for annotations of unstructured medical data. Heiner has successfully demonstrated how semantic technologies can be used to gather information from various sources such as relational databases and unstructured data such as text or images, in the context of patient data.
SFriedrich Hübner
Business Development Manager
Friedrich leads the Business Development at Osthus since 2009. In his role he is involved in the project set-up and pre-planning of customer projects from the pharmaceutical and chemical industry. Based on his market knowledge he supports the strategic alignment of Osthus' business solutions and ensures innovative, sustainable and economical projects for R&D organisations. His special competencies are requirement engineering and process alignment topics. At present he is working as a member of the Allotrope Foundation software vendor recruiting team.
- Introduction to semantic technologies
- Improve data quality through standardization of data models and terms
- Understand the role of semantic technologies to overcome the variability problem of big data/data integration that hinders effective reuse and data analytics
- Learn why semantics are needed to enrich unstructured data
- R&D Managers
- R&D IT Managers
- Scientists/Researchers
- Laboratory Managers
- Technology Advisors/Experts
- Business Analysts
