According to the above definitions, the difference between a database and a knowledgebase is that the data in a kowledgebase has been processed by rules, which represent the fruits of experience.
A knowledgebase is a special kind of database for knowledge management. Knowledge may be defined as the theoretical or practical understanding of a subject, which in terms of classical AI means facts and rules. In fact, an algorithm is a process or set of rules. An expert system is a computer system that emulates the decision-making ability of a human expert, using reasoning. And in this case, reasoning is a rule-based process applied to a knowledgebase. In this day and age, web semantics are considered the sine qua non of knowledge representation.
SPARQL is to RDF as SQL is to RDB. Triples can be thought of as basic sentences, with subject-predicate-object, showing relationship. Thus knowledge about things is represented in the relationship. A knowledge graph is a set of triples, or RDF statements. A graph store, or graph database, is a repository of these knowledge graphs. Almost all big social media monitoring products, such as Alterian and Radian6, will store tweets for you in a database, at a price.
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2007: Project AIML-OWL – This was my initial investigation into the conversion of XML dialects into semantic formats such as RDF.
2008: Project James – This was a short-lived exploration with a professional associate into WAMP, MySQL, Microsoft SQL Server, Entity Relationship Diagramming, and XSL Transformations (XSLT).
2008: Project Simon – This was a collaboration with an expert colleague to create a proof of concept for a proprietary component to convert concgrams (similar to n-grams) into associated latent semantic indexes using SPSS.
Interface Layer (Avatar System)
Pre-Filter Layer (Feed Bots)
Architecture: In this proposed solution cloud-based middleware integration of remote APIs would substitute the solution stack layer.
In IaaS, you select the pre-canned OS layer, deploy the application stack, deploy your code & then add your data
In PaaS, you deploy your code (OS/Application Stack is part of the offering) & then add your data
In SaaS, you add your data (everything else part of the offering)
According to Gartner, Cloud middleware services, also known as platform as a service, is a new battlefield in which the leading software vendors compete for industry influence and market leadership. And according to Aaron Levie?, SaaS is Crate and Barrel, PaaS is IKEA, and IaaS is HomeDepot.