Connecting the Knowledge Ecosystem Founded in 2019 at Columbia University, The Knowledge Graphs Conference is emerging as the premiere source of learning around knowledge graph technologies. We believe knowledge graphs are an underutilized yet essential force for solving complex societal challenges like climate change, democratizing access to knowledge and opportunity, and capturing business value made possible by the AI revolution.
KGC bridges the gap between industry, which is increasingly recognizing the necessity of integrated data, and academia, where semantic technologies have been developing for over twenty years. Our events, education, content, and community efforts facilitate meaningful exchange between diverse groups, and increase awareness, development and adoption of this powerful technology.
Conference – bridging the gap between research and industry
We organize workshops and tutorials to progress a number of Tech4Good themes, targeting objectives such as the United Nations Sustainable Development Goals and the development of a COVID-19 vaccine. At our most recent conference, 530 attendees participated, representing over thirty industries across forty-two countries. Speakers ranged from Bell Labs pioneer John Sowa to Morgan Stanley, AstraZeneca, and leading academics from Europe and USA. A variety of workshops and tutorials were also given, including several on tech4good themes–from the UN SDGs to personal health graphs and fake news.
KGC Vision and Values
Our goal is to build the community and become a leading source of learning around knowledge graphs.
We will achieve this by engaging and convening industry leaders and innovators, across sectors.
We will focus on the diversity of perspectives:
Professional Diversity: Industry practitioners, Business Users, Faculty, Scientists, Students
Gender & Age diversity
We will gather, share and publish content to increase learning.
We will build the community online and in-person through our content, meetups and conferences.
On an average, onboarding a Data professional to any large organization takes around 3 months for him to really understand business and data models within the core applications. Once he understands he shall be productive. Allianz GraphXL solves this challenge and is now been used by Business Anal...
Graph-based technologies are appealing because they promise more flexibility than other database technologies. However, it turns out that graph-based databases still require data to be structured and are not that different from traditional databases, therefore creating disappointment for end user...
When Not to Use a Graph db for Your Knowledge Graph
When people think of knowledge graphs and graph analytics they reflexively think they need a specialized database. That answer is often incomplete or just wrong for their workload.
We’ll analyze the 11 access patterns involved in graph analytics and build a logical and physical reference architec...
The European Commission is maintaining a Knowledge Graph using Wikibase, the same software that is running behind Wikidata (one of the most successful public Knowledge Graphs). In this talk we describe:
- the content of the EU Knowledge Graph
Streaming Graphs, Because We Cannot Afford to Query Anymore
Graphs help answer complex questions, but they have traditionally been far too slow to be used in high-volume streaming data applications. While graph _databases_ have served batch-processing use cases for decades, a new streaming architecture is showing profound results for modern high-volume da...
"Multi" Model: An Ontology For Every DB on the Truck
A multi-model database allows multiple data representations to coexist in the same instance. In simpler times, that meant two models -- such as document and graph -- in one. In this presentation, I tackle the multi-model dream of tomorrow: a single model with data spanning many and various databa...
Turn your web APIs into just another piece of your Knowledge Graph
Web APIs have become a de-facto standard to enable HTTP-based access to machine-processable data. In this talk, I will present the SPARQL micro-service architecture, a lightweight approach that bridges web APIs and RDF knowledge graphs by making it possible to enforce a uniform data model over mu...