Add to ORKGIn this invited talk I will argue that to build scalable, transparent and explainable AI in various domains where heterogeneous data is available, we need to collaborate with domain experts to develop relevant and high-quality knowledge graphs as well as appropriate data science and Machine Learning methods to constantly enrich and analyse these graphs. I give examples in the Digital Humanities and Internet of Things
Researchers seeking to comprehend the state-of-the-art innovations in a particular field of study mu...
This paper provides an extensive overview of the use of knowledge graphs in the context of Explainab...
The increasingly pervasive nature of the Web, expanding to devices and things in everyday life, alon...
Knowledge Graphs for Contextual AI Maya Natarajan Companies are increasingly using artificial int...
In this article, we provide a comprehensive introduction to knowledge graphs, which have recently ga...
In modern machine learning, raw data is the pre-ferred input for our models. Where a decade ago data...
In modern machine learning,raw data is the preferred input for our models. Where a decade ago data s...
In this article, we provide a comprehensive introduction to knowledge graphs, which have recently ga...
Heterogeneous knowledge graphs are emerging as an abstraction to represent complex data, such as soc...
Deep learning models require massive amounts of data to perform accurately. As the world is inherent...
Researchers seeking to comprehend the state-of-the-art innovations in a particular field of study mu...
This paper provides an extensive overview of the use of knowledge graphs in the context of Explainab...
The increasingly pervasive nature of the Web, expanding to devices and things in everyday life, alon...
Knowledge Graphs for Contextual AI Maya Natarajan Companies are increasingly using artificial int...
In this article, we provide a comprehensive introduction to knowledge graphs, which have recently ga...
In modern machine learning, raw data is the pre-ferred input for our models. Where a decade ago data...
In modern machine learning,raw data is the preferred input for our models. Where a decade ago data s...
In this article, we provide a comprehensive introduction to knowledge graphs, which have recently ga...
Heterogeneous knowledge graphs are emerging as an abstraction to represent complex data, such as soc...
Deep learning models require massive amounts of data to perform accurately. As the world is inherent...
Researchers seeking to comprehend the state-of-the-art innovations in a particular field of study mu...
This paper provides an extensive overview of the use of knowledge graphs in the context of Explainab...
The increasingly pervasive nature of the Web, expanding to devices and things in everyday life, alon...