- Kingland Platform
I’ve collected sports cards ever since I was 11 years old. Something about amassing and organizing a collection of cards that chronicled the bios and stats of my favorite sports stars always appealed to me. Included early on in this collection pursuit was a bonus lesson on the basic laws of supply and demand – generally speaking, the tougher the sports card is to pull from a pack of unopened cards, the higher the market value. The most popular sports stars create the most demand, also driving market value higher. I still remember the exact moment 25 years ago in 1993 when I pulled a rare (at the time) card of Michael Jordan from a pack of basketball cards – the perfect combination of scarcity and star power! The card immediately vaulted to the top of my collection.
Our approach to the Cognitive Collector persona and components within our Cognitive Computing Platform suite is inspired by this real-life passion with collecting. In the world of the Kingland Platform, the Cognitive Collector is primarily focused on one thing – collecting as much useful and valuable unstructured content (data) as possible. The parallels with my sports card collecting hobby are fun:
How does The Collector Work?
We’ve cloud-optimized our Cognitive Collector by leveraging our partnership with AWS, and architecturally, the Collector is built as a full data lake pattern using AWS technology. Amazon Simple Storage Service (S3) stores all content collected by the Collector and provides excellent resiliency, durability, accessibility, flexibility, and security for managing all content. AWS Elasticsearch Service provides the indexing and search services needed for searching the collected content in a scalable and secure manner. DynamoDB provides the NoSQL persistence capabilities for all of the metadata of the content, including the tagging and annotations that are output as part of our Cognitive Scholar’s processing that we’ll review in future blogs.
The Collector also satisfies key architectural principles that we required for support of content collection capabilities:
To close with my customary pop culture reference, we’re back to the Marvel Universe and the character sharing the same name as our Collector component. With every Collector naturally comes a basic set of “scholarly” knowledge, as we see in Marvel’s Collector and his knowledge of his collection, and particularly with the Infinity Stones he’s pursuing. Join me next time as we dive deeper into the next component persona of our Text Analytics Platform – The Scholar!