blocks|key|30918|text|我听说ARQ+SPARQL+tutorial是一个有用的开始。正如您已经发现的，dbpedia从一开始就是一个令人生畏的数据集，但是sparql.org还提供了一个非常简单的数据集来尝试在线查询。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|30919|entityMap|0|LINK|mutability|MUTABLE|url|http://jena.sourceforge.net/ARQ/Tutorial/|1|http://sparql.org/query.html^0|3|J|0|1U|A|1|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]|$A|R|B|S|1|T]]|C|$]]|$1|D|3|-4|5|6|7|U|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]|L|$5|G|H|I|C|$J|M]]]]

I've heard that the <a href="http://jena.sourceforge.net/ARQ/Tutorial/" rel="nofollow noreferrer">ARQ SPARQL tutorial</a> is a useful start. As you've found, dbpedia is a daunting data set to start with, but <a href="http://sparql.org/query.html" rel="nofollow noreferrer">sparql.org</a> also provides a very simple dataset to try querying online.

blocks|key|2434034|text|正如comment_bot所说，ARQ+SPARQL+tutorial是一个很好的起点。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2434035|如果你真的想理解它，那么你需要阅读完整的SPARQL+specification，它有很多例子，并详细解释了它。如果您只是想使用它，那么您不应该担心第12节之后的内容，因为这将深入讨论SPARQL正式定义的技术细节以及如何实现它。|2434036|但也像您所说的，您只需要处理查询--同样，comment_bot提到了sparql.org，它是一个很方便的沙箱|2434037|还要注意的是，目前有一个工作组正在积极开发SPARQL+1.1，它将添加许多有用的功能，如聚合和否定，这些功能在现有规范下要么缺失，要么难以做到。|2434038|您可能还想关注SemanticOverflow，它是相当于SO的语义网，有相当多的编写SPARQL规范的人员会访问该站点，所以如果您有一个晦涩/复杂的SPARQL问题，可以在这里提问|2434039|entityMap|0|LINK|mutability|MUTABLE|url|http://jena.sourceforge.net/ARQ/Tutorial/|1|http://www.w3.org/TR/rdf-sparql-query/|2|http://sparql.org/query.html|3|http://www.semanticoverflow.com/^0|G|J|0|0|K|K|1|0|Z|A|2|0|0|7|G|3|0^^$0|@$1|2|3|4|5|6|7|Z|8|@]|9|@$A|10|B|11|1|12]]|C|$]]|$1|D|3|E|5|6|7|13|8|@]|9|@$A|14|B|15|1|16]]|C|$]]|$1|F|3|G|5|6|7|17|8|@]|9|@$A|18|B|19|1|1A]]|C|$]]|$1|H|3|I|5|6|7|1B|8|@]|9|@]|C|$]]|$1|J|3|K|5|6|7|1C|8|@]|9|@$A|1D|B|1E|1|1F]]|C|$]]|$1|L|3|-4|5|6|7|1G|8|@]|9|@]|C|$]]]|M|$N|$5|O|P|Q|C|$R|S]]|T|$5|O|P|Q|C|$R|U]]|V|$5|O|P|Q|C|$R|W]]|X|$5|O|P|Q|C|$R|Y]]]]

As comment_bot says the <a href="http://jena.sourceforge.net/ARQ/Tutorial/" rel="nofollow noreferrer">ARQ SPARQL tutorial</a> is a good place to start.

If you really want to understand it then you will need to read the full <a href="http://www.w3.org/TR/rdf-sparql-query/" rel="nofollow noreferrer">SPARQL specification</a> which has lots of examples and explains it in a lot of detail. If you just want to use it then you shouldn't worry about section 12 onwards as that goes into in-depth technical details of the formal definition of SPARQL and how you might go about implementing it.

But also like you say you do need to just play around with queries - again comment_bot mentions <a href="http://sparql.org/query.html" rel="nofollow noreferrer">sparql.org</a> which is a handy sandbox

Also be aware that currently there is a Working Group actively working on SPARQL 1.1 which will add in a number of useful features such as aggregates and negation which are either missing or hard to do under the existing specification.

You may also want to keep an eye on <a href="http://www.semanticoverflow.com" rel="nofollow noreferrer">SemanticOverflow</a> which is the Semantic Web equivalent of SO and quite a few of the people involved in writing the SPARQL specification visit that site so if you have an obscure/complex SPARQL question it's the place to ask

blocks|key|2434096|text|赞成。因此，我准备了一个初学者工具包来帮助启动初始数据集。它仍然处于非常早期的"alpha“阶段，但我已经能够使用它来创建一组三元组。https://github.com/barobba/RDF-SPARQL-Starter-Kit|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2434097|另外，这是我刚刚在StackOverflow上发布的一个相关帖子：How+to+get+started+with+RDF?+(Particularly+for+relational+database+developers?)|2434098|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/barobba/RDF-SPARQL-Starter-Kit|1|https://stackoverflow.com/questions/9252353/how-to-get-started-with-rdf-particularly-for-relational-database-developers^0|1V|1D|0|0|X|27|1|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@$A|Q|B|R|1|S]]|C|$]]|$1|D|3|E|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|F|3|-4|5|6|7|X|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]|N|$5|I|J|K|C|$L|O]]]]

I agree with you. So, I have put together a starter kit to help with starting an initial data set. It's still in the very early "alpha" stage, but I have been able to use it to create a set of triples to work from. <a href="https://github.com/barobba/RDF-SPARQL-Starter-Kit" rel="nofollow noreferrer">https://github.com/barobba/RDF-SPARQL-Starter-Kit</a>

Also, here is a related post I just made on StackOverflow:
<a href="https://stackoverflow.com/questions/9252353/how-to-get-started-with-rdf-particularly-for-relational-database-developers">How to get started with RDF? (Particularly for relational database developers?)</a>

I'm a firm believer in learning a platform or technology by playing with it. So I've kind of glanced at SPARQL and thus far haven't really gotten to into it because it just ... looks daunting (as does everything at first).

I'd like an environment with a couple of documents that I can cross reference and query. My temptation is to do SQL like things such as joining a city to it's home country - but maybe that's the wrong frame of mind. I've looked at the examples on dbpedia and right of the bat there's question marks, 5 namespaces, angle brackets and other hoopla.

<a href="http://dbpedia.org/snorql/" rel="noreferrer">http://dbpedia.org/snorql/</a> looks like a good place to play.

Anyone have some experiences to share? Any resources in particular that really launched your learning?

Getting Started With SPARQL, Sandboxing

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我坚信通过实践来学习一个平台或技术。所以我看了一眼SPARQL，到目前为止还没有真正深入研究它，因为它只是...看起来令人望而生畏(一开始所有事情都是如此)。我想要一个有几个文档的环境，我可以交叉引用和查询。我的诱惑是像SQL一样做一些事情，比如将一个城市加入到它的祖国--但这可能是错误的想法。我看过dbpedia上的...

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