Capturing knowledge in the life sciences is a huge undertaking. The scope of the field extends from the atomic level up to planetary-scale ecosystems, and a wide variety of disciplines collaborate on the research.

Chris Mungall and his colleagues at the Berkeley Lab tackle this knowledge-management challenge with well-honed collaborative methods and AI-augmented computational tooling that streamlines the organization of these precious scientific discoveries.

https://knowledgegraphinsights.com/chris-mungall/

Semantic technologies permit powerful connections across a variety of linked data resources across the web. Until recently, developers had to learn the RDF language to discover and use these resources.

Leveraging the new Model Context Protocol (MCP) and LLM-powered natural-language interfaces, Emeka Okoye has created the RDF Explorer, an MCP service that lets any developer surf the semantic web without having to learn its specialized language.

https://knowledgegraphinsights.com/emeka-okoye/

Shortly after the semantic web was introduced, the demand for discoverable and shareable data arose in both research and industry.

Tom Plasterer was instrumental in the early conception and creation of the FAIR data principle, the idea that data should be findable, accessible, interoperable, and reusable.

From its origins in the semantic web community, scientific research, and the pharmaceutical industry, the FAIR data idea has spread across academia, research, industry, and enterprises of all kinds.

https://knowledgegraphinsights.com/tom-plasterer/

Mara Inglezakis Owens brings a human-centered focus to her work as an enterprise architect at a major US airline.

Drawing on her background in the humanities and her pragmatic approach to business, she has developed a practice that embodies both "digital anthropology" and product thinking.

The result is a knowledge architecture that works for its users and consistently demonstrates its value to key stakeholders.

https://knowledgegraphinsights.com/mara-owens/

Much of the conversation around AI architectures lately is about neuro-symbolic systems that combine neural-network learning tech like LLMs and symbolic AI like knowledge graphs.

Frank van Harmelen's research has followed this path, but he puts all of his AI research in the larger context of how these technical systems can best support people.

While some in the AI world seek to replace humans with machines, Frank focuses on AI systems that collaborate effectively with people.

https://knowledgegraphinsights.com/frank-van-harmelen/

As the founder of Wikidata, Denny Vrandečić has thought a lot about how to better connect the world's knowledge.

His current project is Abstract Wikipedia, an initiative that aims to let anyone anywhere on the planet contribute to, and benefit from, the world's collective knowledge, in their native language.

It's an ambitious goal, but Denny, inspired by the success of other contributor-driven Wikimedia Foundation projects, is confident that community can make it happen

https://knowledgegraphinsights.com/denny-vrandecic/

Since the semantic web was introduced almost 25 years ago, many have dismissed it as a failure.

Charles Ivie shows that the RDF standard and the knowledge-representation technology built on it have actually been quite successful.

More than half of the world's web pages now share semantic annotations, and the widespread adoption of knowledge graphs in enterprises and media companies is only growing as enterprise AI architectures mature.

https://knowledgegraphinsights.com/charles-ivie/

In recent years, data products have emerged as a solution to the enterprise problem of siloed data and knowledge.

Andrea Gioia helps his clients build composable, reusable data products so they can capitalize on the value in their data assets.

Built around collaboratively developed ontologies, these data products evolve into something that might also be called a knowledge product.

https://knowledgegraphinsights.com/andrea-gioia/