Google is automatically building its next generation knowledge graph named Knowledge Vault
Although article is very pop-science (not science at all actually) and doesn’t contain any technical detail, it is clear on google’s idea and the way information retrieval systems head. Automatic knowledge gathering and fact extraction is also what I originally aimed at Reverbrain company, although my idea was much simpler – I wanted to automatically build a language model and fact relations between words to understand native language questions.
Aug 25 there will be a presentation of Google’s Knowledge Vault, I’m too much tempting to see it and try to gather and understand bits of information on how it is implemented inside.
Upfate: a paper on knowledge vault: Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion
I’m proud to announce that there is an official package repository for all our projects at http://repo.reverbrain.com
We support Ubuntu Precise and the latest RHEL6 (CentOS) builds as well as tarballs.
One can add them into source.list/yum.conf.d, all versions are automatically checked out and built from the Github repository
Reverbrain is a company we started to provide support and solutions for distributed storage and realtime computation problems.
We created the whole stack of technologies ranging from the lowest level of data storage upto high-level processing pipeline.
Time moves on and we see how complex is to deal with massively increasing amounts of data. We provide solutions for true-way horizontal scaling with fair system complexity. Our storage appliances lay in the area where one has to host billions of small-to-medium objects upto huge data streaming systems.
Your data should nost just lay in archive in the distributed system — realtime pipeline processing is our vision of how data has to be handled. We use them by ourself and want to provide the best experience for our customers.