Tag: Knowledge Graph
Knowledge graphs are essential for any information architecture built upon semantics and AI. The Linked Data Life Cycle provides guideline for data governance within the semantic web framework.
With the UN predicting that more than 70 percent of the world’s population will live in urban areas by 2050, the development of sustainable smart cities is a rising need.
Drupal is one of the favourite enterprise content management systems. Especially government and non-governmental organizations embrace this open source platform to build advanced digital experiences. Over the last years, we
Despite the rising popularity of data-driven technologies, studies show that nowadays less than 10% of data is used effectively by organizations. Over 40% of companies are struggling to find talent
These days, many organisations have begun to develop their own knowledge graphs. One reason might be to build a solid basis for various machine learning and cognitive computing efforts. For
Enterprises providing information using digital data need to make their data searchable, reusable and structured. Graph-based semantic layers do just that.
With the rise of linked data and the semantic web, concepts and terms like ‘ontology’, ‘vocabulary’, ‘thesaurus’ or ‘taxonomy’ are being picked up frequently by information managers, search engine specialists or data engineers
[ppt-noparse]The latest release of PoolParty Thesaurus Server offers a comfortable GUI to extend SKOS thesauri by other RDF schemas in order to create highly linkable knowledge graphs which now can