Knowledge graphs as tools for explainable machine learning: A survey
This paper provides an extensive overview of the use of knowledge graphs in the context of Explainable Machine Learning. As of late, explainable AI ha…
Knowledge Graph Costs I just finished my primary research for a new paper on the costs and obstacles of adopting knowledge graph. The three themes that… | 10 comments on LinkedIn
PANEL: “KNOWLEDGE GRAPHS FOR THE PHYSICAL WORLD: WHAT IS MISSING?”
#AI needs #KnowledgeGraphs to represent the physical world! See why AI needs @KnowledgeGraph for autonomous cars, for robotics, for smart homes and more...
Support search engines with knowledge and context — Part 1
The most common way to find answers on the Internet is to enter keywords in a web search engine (Google, Yandex, etc) and browse the returned results. However, in some cases the user is looking for a…
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Semantic layers that are meant to serve as a single source of truth are fragmented, inflexible, and create a barrier to #data access
The analytics workflow is broken. Every time analysts have a new question, they must submit a request to the data engineering team to add a new column to a… | 249 comments on LinkedIn
Harnessing the Power of Knowledge Graphs for Language Model Governance
Should we all be making a Knowlege Graph part of our organisation's AI strategy? The ICLR is now recognised as one of the top conferences in deep learning… | 11 comments on LinkedIn
Semantic technology helps manage any industry’s complex knowledge
Ontotext is a software company with offices in Europe and USA. The company was first launched in 2000 as an R&D lab within Sirma group. Today, Ontotext is predominantly focused on software solutio
Structured Data | 2022 | The Web Almanac by HTTP Archive
Structured Data chapter of the 2022 Web Almanac covering adoption and year on year change of RDFa, Opne Graph, Twitter, JSON-LD, Microdata, Facebook, Dublin Core, Microformats and microformats2 structured data.
Summarizing in figures this excellent systematic survey of 507 papers on the state of #KnowledgeGraphs in #NLP since the first Internet-age KG was announced 10 years ago, in the order of appearance:
Summarizing in figures this excellent systematic survey of 507 papers on the state of #KnowledgeGraphs in #NLP since the first Internet-age KG was announced 10… | 12 comments on LinkedIn
We’ve all seen the signs in front of McDonald’s announcing “Over X Billion Served” and have watched the number rise over the years. But tracking how many burgers are sold every day, month, or year is a relic of the past. Today ask: Do we know where each consumer buys her burgers? At what time? What does she drink with it? What does she do before or after buying a burger? How can we satisfy more of her needs so that she keeps coming back? Datagraphs capture this information, helping to reshape competition in every sector. Leaders must invest in upgrading their data architecture to enable a real-time, comprehensive view of how consumers interact with their products and services so that they can develop unique ways to solve customer problems.
Embrace Complexity — Conclusion Building Your Organisation's Knowledge Graph
A powerful idea has been slowly building for many years now, originally known as the Semantic Web, and then later as Linked Data. This idea has finally... 27 comments on LinkedIn