Resource library

How to build an ESG knowledge model as a basis for semantic search, ESG knowledge hubs, and smart recommender services

This webinar will guide viewers toward how better enterprise search can be used in real-world applications. A simple search is painstaking, but an enterprise search powered by semantics allows you to find specific articles down to the very sentence that mentions the penalty you’re looking for.

As companies keep struggling to make the most of their constantly growing data, and their stakeholders spend more time sifting through disparate sources, various technologies have been developed to solve several pieces of the puzzle. However, these technologies, on their own, don’t fully solve the problem of converting this data into business intelligence.

What if there was a way to bring together all components of intelligent content? To increase the value of information for customers and employees while improving the overall content lifecycle management?

Implementing a Knowledge Graph in combination with AI and Machine Learning algorithms helps put context and rationale to data, leading to informed decisions based on all of the information available.

Knowledge hubs provide integrated and holistic views of the originally siloed and disjointed information scattered throughout an organization. Knowledge hubs are built on a knowledge graph, which can be understood as a multi-dimensional search index that can even be used to uncover hidden knowledge.

This panel discussion is presented jointly with Lizzy Jongma, Joop Vanderheiden and Ioanna Lytra and takes a deep dive into the fascinating world of historical and archaeological documentation and explores the information sources and research methodologies available to those who are seeking to gain a richer understanding of Semantic A.I. and connect knowledge sources in a meaningful way.

In this webinar, we will explore how the combination of WAND curated taxonomies and Semantic Web Company’s taxonomy management system, knowledge graphs, tagging properties and semantic A.I. search increases the accuracy of these algorithms and reduces the time to value by up to 90% for knowledge management projects.

In this webinar we will explain the methodology for knowledge-based recommendations and show how we can apply taxonomies, ontologies and rules to provide recommendations with different levels of expressivity.

Watch the second webinar in our series for an overview of the use of Semantic Web technologies in machine learning workflows.

Watch our first webinar to get an overview of the use of Semantic Web technologies in Machine Learning workflows.

Watch [A] and the Semantic Web Company as we explore a common use-case in configuring systems to deliver personalized content.

This on-demand webinar provides an introduction to ontologies and their components and walks through the steps of extending a taxonomy by designing and adding an ontology semantic layer.

This on-demand webinar provides an introduction to ontologies and their components and walks through the steps of extending a taxonomy by designing and adding an ontology semantic layer.