Semantic Technologies Blog
Our semantic technologies blog is created by research experts as well as developers and consultants, reflecting their practical expertise.
Learn more about machine-learning, cognitive computing, text analytics and semantic data analytics.
Introduction Knowledge Graphs (KGs) are currently on the rise. In their latest Hype Cycle for Artificial Intelligence (2018), Gartner highlighted: “The rising role of content and context for delivering insights with AI technologies, as well as recent knowledge graph offerings for AI applications have pulled knowledge graphs to the surface.” We can roughly divide KGs …
Read more
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.
Read more
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. Cities are now capable of collecting and analyzing enormous amounts of data to automate processes, improve service quality, and to make better decisions. This opens …
Read more
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 have been developing several PoolParty semantic technology features and modules that integrate natively into Drupal. In this blog post, I introduce you to the semantic technology capabilities that …
Read more
In our recent endeavor to import in PoolParty the Google Product taxonomy in different languages, we encountered some challenges that needed to be addressed. The first challenge was that the Google Product taxonomy is in Excel (XLS) format, and for each language there is a separate file. The second challenge is on how to align …
Read more
With technology being number one concern for most businesses, there is an increasing need for better lifecycle management of software and data engineering processes. Quality management is a critical component, especially nowadays with the explosion of big data sources and existing tools that tend to break at scale. In the case of semantic knowledge bases, …
Read more
The Semantic Web Company, Mekon and Enterprise Knowledge conducted an Information Management Survey for practitioners that provides new insights into the current status of this highly diverse technology field. 187 data and content professionals participated worldwide. Let us share the three key findings in this article and encourage you to download the full report. Information …
Read more
There is a strong connection between information storage and retrieval, namely how information storage is implemented under the hood directly impacts the retrieval or search. The knowledge management techniques we adopt have an immense impact on our daily productivity. For that reason, a lot of thought is given by us when we store information, asking …
Read more
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 to implement Big Data solutions. However, by 2020 company’s success will largely depend on their ability to create digitally enhanced customer experience solutions. Cognitive applications …
Read more
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 many of those, it remains still unclear where to start. SKOS offers a simple way to start and opens many doors to extend a knowledge …
Read more