Here is their entry on Gettier cases, for example.
7 karma · joined April 24, 2020
Here is their entry on Gettier cases, for example.
Even though it was over-hyped, I like the semantic web because it supports a conception for the future that includes something other than neural network black-boxes. However, whether the ideas deliver remains to be seen.
If anyone is looking for an introduction, then I think the Linked Data book from Manning is worth mentioning--it might be a little dated at this point. The author provides a coherent introduction and helps, especially, in cutting through the confusing proliferation of acronyms that characterizes this field. As others have mentioned, reliable software is a major stumbling block. It's especially unfortunate that there isn't better browser support, of RDFa for example.
I've been teaching a software engineering class for a few years. Being conscious of the high cost of textbooks, I find that Applying UML and Patterns by Larman achieves the best balance of practice, design, and process.
For students who want to dig into agile methodologies I would recommend Extreme Programming Explained by Beck and the Poppendiecks on Lean.
In my opinion, a philosophical grounding is helpful for the programmer. Accordingly, I'd want to suggest something like Locke's Essay Concerning Human Understanding or a secondary source on Aristotelian categories. Moreover, a broad knowledge of different types of ethical systems will benefit a developer.
Lastly, as a kind of curve ball, I would recommend any STEM student to work through an LSAT preparation book. Technologies will come and go, but, throughout a career, the problems a developer encounters will likely have dimensions that require general critical thinking.