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I am looking for a schema in microdata/open graph protocol with which I can markup content generated in Q&A platforms. Q&A platforms are user generated Q&A system like popular stackoverflow, quora, answers.yahoo.com, answers.com etc. Typically, they have attributes like question, best answer, votes, number of answers, category, author who gave the best answer.
There's nothing specific, but a combination of schemas could offer similar semantics:
Product Schema
Review Schema
User Comments Schema
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what's the best way to recommend similar movies on my website? Should I get an API key from a database to generate the recommendations, or is there a better way to do it?
i just writing blog on site but i need better guidline to improve my ranking on google serp.
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Currently, I'm implementing a Robot framework using the "Page object model".
Kindly let me know if there is another better model.
I would say that the answer depends on what is your system under test (SUT) and how large your test code will be. IMO, page object model is a good choice for SUTs that are systems with many views and you will have a large test automation code base.
If the code base is small, you don't have to think that much about maintainability and code re-usability.
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I'm building Product SKU API following the JSONAPI specification.
Should the type be named as "product-skus" or "productSkus"?
Pretty sure it's not definitively specified for either JSONAPI or standard JSON (see: JSON Naming Convention), so you can make your own decision.
FWIW, the JSON API spec has examples with kebab-case (http://jsonapi.org/format/#document-compound-documents).
The JsonApiDotNetCore framework is an implementation of JSONAPI for .net core based projects. Found a link in their documentation that uses hyphens.
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I would like to find a library for parsing and generating text in common lisp. I would like it to be maintained and documented and preferably with a community that could answer questions.
In the past I have used for the same job ANTLR/StringTemplate in Java and Boost.Spirit in C++. Both projects are well documented in my opinion. From what I am reading, Parsec for Haskell would also meet my requirements. But I have not found something similar for LISP. Perhaps lispers parse texts using their own hand-made parsers?
I am aware of this question, but the so-called documentation on smug is a technical report on monadic parsing, with examples in Haskell. The documentation of LispBuilder looks rather short also. Most projects in CLiki seem abandoned.
Which library would you recommend? The grammar I need to parse is not very complicated.
You might have a look at
Cl-yacc
Esrap
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Syntactically, at least, SQL is pretty far off. Thanks!
Dataphor's D4 is said to be pretty close (sole major error being the introduction of a null-like construct that the customers forced upon the developers, IIRC).
The projects listed on The Third Manifesto's project page ( http://www.dcs.warwick.ac.uk/~hugh/TTM/Projects.html ) should all be expected to abide even more closely.
There are the two syntactically very different languages: Relational Algebra and Relational Calculus, and SQL is a mixture of both. There are plenty of verbatim Relational Algebra implementations, so the matter obviously is not how "faithful" the implementation is.