Written by Sebastian Schmidt on . Posted in Ontology Modeling
In my previous blog post on building Knowledge Graph-driven, FAIR Data platforms I discussed the importance of data and data-driven decisions, processes and tools in accelerating digital transformation. Knowledge Graphs have revolutionized the way data can be accessed and used, and have helped enterprises overcome the challenges posed by distributed silos where information is available to limited audiences, in heterogeneous formats, and represented according to different models. They have led to great advances in terms of data integration, interoperability and accessibility, and have allowed companies to tap into the full potential of their data assets and transform data into valuable and actionable knowledge.
With metaphactory, our customers have been able to rapidly build Knowledge Graph-based applications enabling them to focus on business outcomes, reduce development efforts and quickly produce results that matter:
- Customers in Life Sciences & Pharma have been able to fast-track drug development and drug repurposing.
- Customers in Engineering & Manufacturing have established smart manufacturing processes and have sped up research, documentation processes and industrial configuration management.
- Customers in Government and Cultural Heritage organizations have streamlined data curation and digital publishing processes, making cultural heritage content intuitively available to the public.
All of these applications utilize a semantic data model to not only describe the domain, but also drive data integration, tie in term vocabularies, or derive UI templates to create a model-driven user interface. Such a semantic data model is called an ontology. According to Gartner, "Ontologies are structural frameworks for organizing information and are used as knowledge representation. Ontology management supports and expands data modeling methodologies to exploit the business value locked up in information silos."
Written by Peter Haase on . Posted in Product Releases
Our mission at metaphacts has always been to ease the onboarding into the world of enterprise knowledge graphs. With our product metaphactory we provide an end-to-end platform to support that mission and enable our clients in unlocking the value of their data assets. Since we first published metaphactory in 2015, with every new release we have introduced new features and capabilities to enable rich end-user experiences in interacting with knowledge graphs.
Through our blog, we want to continuously share some of the recent developments, examples, best practices and make the power of knowledge graph technologies more accessible for you.
Just today we released metaphactory 3.6, so this is a great opportunity to start this blog with showing you some cool new additions to our product. With our most recent release, we have introduced a series of new components and enhancements that help provide a more intuitive user experience and user interaction. These new components cater to user needs across all platform target user groups: end users, developers focused on building end-user oriented applications, as well as knowledge graph experts.