Chaitan Baru | Open Knowledge Network
KGC 2021
•
20m
The concept of an Open Knowledge Network (OKN) is one of the components of the National Science Foundation’s Harnessing the Data Revolution (HDR) Big Idea, with the objective of providing semantic information infrastructure. By encoding information and knowledge about real-world entities and their relationships, the OKN would enable next generation artificial intelligence-based technologies and applications, focusing in particular on science and engineering information. While large-scale knowledge networks have been deployed in services like Google Search, Amazon catalogs, Apple Siri, Microsoft Cortana, and WolframAlpha, an open effort would expand this approach, enabling discovery of non-trivial information from multiple disparate knowledge sources for thousands of new topic areas in scientific and engineering information.
With this objective in mind, the NSF Convergence Accelerator announced a “track” on the Open Knowledge Network (Track A) in 2019. Twenty-one projects were funded in Phase I in 2019 and five were funded in Phase II in 2020. Multidisciplinary, multi-sector teams in these projects are addressing a range of issues including, programming environments for knowledge network creation, making hidden/implied geospatial information explicit in knowledge graphs, and encoding information in specific domains, viz. urban flooding, biomedicine, and court records.
Chaitan Baru is member of the National Science Foundation. He is currently a working at the Convergence Accelerator office and his talk is going to pertain to the Open Knowledge Network(OKN) program at the National Science Foundation. The panel discusses the background on OKN and its participation in the Convergence Accelerator program. NSF was trying set out a strategy to see how do they take data to knowledge and create an action based off of that data. Soon development of large knowledge networks based off of this conversation leading to subsequent meetings which led to workshops about this "Open Knowledge Network", which are knowledge networks that aren't specialized for certain companies cases but rather broad public use cases. Chaitan talks about several projects and gives an overview of OKN Convergence Accelerator program and the Open Knowledge Network activities. #knowledgegraph #knowledgegraphconference #knowledgegraphnetwork
Up Next in KGC 2021
-
Ben De Meester | PROV4ITDaTa: Flexibl...
Personal Knowledge Graph generation is no longer a cumbersome technical endeavor. PROV4ITDaTa is an MIT open source platform to provide a smooth user experience for generating knowledge graphs from your online web services, such as Google, Flickr, and Imgur, into your personal data space. This br...
-
Bernhard Krabina | Semantic MediaWiki...
Semantic MediaWiki (SMW), which was introduced as early as in 2006, has since gone on to establish a vital community and is currently one of the few semantic wiki solutions still in existence. SMW is an extension of MediaWiki, the software used for Wikipedia and many other projects, resulting in ...
-
Johannes Keizer | VocBench: A Semanti...
This presentation will feature and demonstrate "VocBench", an semantic web collaborative development platform for ontologies, thesauri and lexicons.
VocBench has initially been developed for maintenance of the thesaurus "Agrovoc". It has become then a generic tool for thesaurus management and now...