Justin Zhen & Francois Scharffe | Building Data Products Using No-code KGs
KGC | The Complete Collection
•
19m
Description: The switch to decentralization in data management is finally happening as organizations struggle with a disconnect between data teams and domain knowledge. Once a new organizational structure around data domains is in place, the need for platforms for managing data products appears.
In this talk, we argue that knowledge technologies are best placed to be the technical layer for data products. Ontologies provide the flexibility and expressiveness to represent the complexities of domains. Knowledge graphs provide graph representation, query languages, and standard access APIs that are perfectly suited for cross organizational data access. Last but not least knowledge graphs, being all about data integration, provide an efficient way to connect data inside and across domains through entity linking and shared vocabularies. This talk will be followed by a short Demo of the Knowledge graph no-code platform, KgBase, by Justin Zhen
Up Next in KGC | The Complete Collection
-
Keshav Pingali | High Performance Kno...
Knowledge Graphs now power many applications across diverse industries such as FinTech, Pharma and Manufacturing. Data volumes are growing at a staggering rate, and graphs with hundreds of billions edges are not uncommon. Computations on such data sets include querying, analytics, pattern mining,...
-
Konstantin Todorov | Browsing The We...
How do falsehoods spread on the web? This and other questions related to the propagation of fake news and biased discourse in the public area have been drawing increasing interest in different communities from social sciences to artificial intelligence. Online discourse, i.e. claims and opinions ...
-
Krzysztof Janowicz | Know, Know Where...
The KnowWhereGraph project aims at providing a densely interlinked knowledge graph for environmental intelligence applications and situational awareness services (area briefings) that enrich the data of decision-makers and data scientists with pre-integrated data custom-tailored to their spatial ...
