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5

First of all, I would like to point out the main differences between knowledge base and (Deep) machine learning, specially when the main focus is on "AI" not "Data Science": NNs are like a black box; Even if they learn a dataset and gain the power of generalization over the problem domain, you'd never know how they are working. if you scrutinize the details ...

3

Although asked over 3 years ago, the question is still interesting and while I agree with the original answer, a lot can be added to it. First, I'd like to point out that the term "knowledge base" is very ambiguous and it means different things to different people. For example, there is no sharp distinction between knowledge base and neural network....

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A semantic network is a way to implement an ontology. An ontology is just a generalised way of representing knowledge in a particular domain, and there are multiple ways of doing so. The key that distinguishes an ontology from, say, Wikipedia, is that it is formally defined, so that the knowledge represented can be used in programs to reason with. Semantic ...

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I will first recapitulate the key concepts which you need to know in order to understand the answer to your question (which will be very simple, because I will just try to clarify what is given as a "definition"). In logic, a formula is e.g. $f$, $\lnot f$, $f \land g$, where $f$ can be e.g. the proposition (or variable) "today it will rain&...

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Based on the related Wikipedia, a knowledge base (KB) is: a technology used to store complex structured and unstructured information used by a computer system. The initial use of the term was in connection with expert systems which were the first knowledge-based systems. As there are different representation model for a KB, we can find different ...

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