blocks|key|806290|text|understand.|type|unstyled|depth|inlineStyleRanges|entityRanges|data|806291|Google+for“|unordered-list-item|806292|”to+understand.|ordered-list-item|806293|Google+to++SPARQL真的很容易读懂|806294|+RDF+Primer。你可以找到几个(比如1、2、3或4).|offset|length|806295|I+)，在我的wiki页面上有一些资源-你可以从它开始。|806296|有好的books+on+Semantic+Web可用，请向我询问更多are|806297|806298|806299|806300|不要害怕，开始吧。使用任何RDF引擎，定义一个任务并对其进行编程！我建议您从Sesame开始。|806301|entityMap|0|LINK|mutability|MUTABLE|url|http://www.w3.org/TR/rdf-primer/|1|http://dewey.info/sparql.php|2|http://lod.openlinksw.com/sparql|3|http://dbpedia.org/sparql|4|http://rdf.myexperiment.org/sparql|5|http://www.centurion.link/w/programming/semantic_web/start|6|https://rads.stackoverflow.com/amzn/click/com/0596153813|7|http://www.openrdf.org/^0|0|0|0|1|1|A|0|M|1|1|O|1|2|Q|1|3|S|1|4|1|7|4|5|1|3|L|6|1|0|0|0|12|6|7|0^^$0|@$1|2|3|4|5|6|7|1I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|1J|8|@]|9|@]|A|$]]|$1|E|3|F|5|G|7|1K|8|@]|9|@]|A|$]]|$1|H|3|I|5|G|7|1L|8|@]|9|@]|A|$]]|$1|J|3|K|5|G|7|1M|8|@]|9|@$L|1N|M|1O|1|1P]|$L|1Q|M|1R|1|1S]|$L|1T|M|1U|1|1V]|$L|1W|M|1X|1|1Y]|$L|1Z|M|20|1|21]]|A|$]]|$1|N|3|O|5|G|7|22|8|@]|9|@$L|23|M|24|1|25]]|A|$]]|$1|P|3|Q|5|G|7|26|8|@]|9|@$L|27|M|28|1|29]]|A|$]]|$1|R|3|-4|5|6|7|2A|8|@]|9|@]|A|$]]|$1|S|3|-4|5|6|7|2B|8|@]|9|@]|A|$]]|$1|T|3|-4|5|6|7|2C|8|@]|9|@]|A|$]]|$1|U|3|V|5|6|7|2D|8|@]|9|@$L|2E|M|2F|1|2G]]|A|$]]|$1|W|3|-4|5|6|7|2H|8|@]|9|@]|A|$]]]|X|$Y|$5|Z|10|11|A|$12|13]]|14|$5|Z|10|11|A|$12|15]]|16|$5|Z|10|11|A|$12|17]]|18|$5|Z|10|11|A|$12|19]]|1A|$5|Z|10|11|A|$12|1B]]|1C|$5|Z|10|11|A|$12|1D]]|1E|$5|Z|10|11|A|$12|1F]]|1G|$5|Z|10|11|A|$12|1H]]]]

<ol>
<li>Make an effort to read <a href="http://www.w3.org/TR/rdf-primer/" rel="nofollow noreferrer">RDF Primer</a> - it is really easy.</li>
<li><a href="http://www.w3.org/TR/rdf-sparql-query/" rel="nofollow noreferrer">SPARQL Query Language</a> is pretty easy to understand.</li>
<li>Google for "SPARQL endpoint" to play with SPARQL. You will find a few (like <a href="http://dewey.info/sparql.php" rel="nofollow noreferrer">1</a> or <a href="http://lod.openlinksw.com/sparql" rel="nofollow noreferrer">2</a> or <a href="http://dbpedia.org/sparql" rel="nofollow noreferrer">3</a> or <a href="http://rdf.myexperiment.org/sparql" rel="nofollow noreferrer">4</a>).</li>
<li>I have some resources at my <a href="http://www.centurion.link/w/programming/semantic_web/start" rel="nofollow noreferrer">wiki</a> page - you may start from it.</li>
<li>There are good <a href="https://rads.stackoverflow.com/amzn/click/com/0596153813" rel="nofollow noreferrer" rel="nofollow noreferrer">books on Semantic Web</a> available, ask me for more information.</li>
</ol>

Don't be afraid to start. Take any RDF engine, define a task and program it! I recommend you to start with <a href="http://www.openrdf.org/" rel="nofollow noreferrer">Sesame</a>.

blocks|key|2726903|text|很难找到一个简洁的小型SPARQL实现，因为该语言相当复杂和富于表现力，而且大多数实现(包括我自己的实现)根据客户/感知的使用场景对语法添加了各种扩展。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2726904|AFAIK+Jena的文档对SPARQL实现的实际工作方式提供了最全面的描述，但正如您所说的，它相当复杂。|2726905|就理解和教授SPARQL而言，了解SPARQL代数是非常重要的。如果你理解代数，你就可以手动计算出查询应该如何转换成代数，然后手动执行它-显然，我不建议在非常小的数据集上进行相对简单的查询以外的任何事情！|2726906|另一个要教授的关键是，语言不是过程化的，实现可以自由地以它认为合适的方式重新排序和调整查询，前提是这不会改变查询的实际含义。|2726907|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|L|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|M|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|I|$]]

Finding a small and clean SPARQL implementation is going to be hard since the language is quite complex and expressive and most implementations (my own included) add a variety of extensions to the syntax as demanded by customers/perceived usage scenarios.

AFAIK Jena's documentation provides the most comprehensive description of how a SPARQL implementation actually functions but like you say it's rather complex.

In terms of just understanding and teaching SPARQL getting your head around the SPARQL Algebra is very important. If you understand the algebra you can work out by hand how a query should translate into algebra and then work through executing it by hand - obviously I don't recommend trying this for anything other than relatively simple queries on very small datasets!

Another key thing to teach is that the language is not procedural, an implementation is free to reorder and adjust the query in any way it sees fit provided this does not change the actual meaning of the query.

blocks|key|799654|text|我还没有看到官方的参考实现。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|799655|但也许这能帮上忙。你看过"SPARQL查询语言实现报告“吗？它将14个SPARQL实现与一个常见的测试套件进行了比较。|799656|http://www.w3.org/2001/sw/DataAccess/impl-report-ql|offset|length|799657|entityMap|0|LINK|mutability|MUTABLE|url^0|0|0|0|1F|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|P|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|Q|8|@]|9|@$F|R|G|S|1|T]]|A|$]]|$1|H|3|-4|5|6|7|U|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|E]]]]

I have not seen mention of an official reference implementation.

But maybe this will help... have you taken a look at the "SPARQL Query Language Implementation Report"? It compares 14 SPARQL implementations against a common test suite.

<a href="http://www.w3.org/2001/sw/DataAccess/impl-report-ql" rel="nofollow noreferrer">http://www.w3.org/2001/sw/DataAccess/impl-report-ql</a>

blocks|key|2726923|text|Dave+Beckett的Redland是一个很好的开始。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2726924|功能：|2726925|Redland是一组为资源描述框架(RDF)提供支持的自由软件C库。|2726926|*+Modular,+object+based+libraries+and+APIs+for+manipulating+the+RDF+graph,+triples,+URIs+and+Literals.
*+Storage+for+graphs+in+memory+and+persistently+with+Sleepycat/Berkeley+DB,+MySQL+3-5,+PostgreSQL,+AKT+Triplestore,+SQLite,+files+or+URIs.
*+Support+for+multiple+syntaxes+for+reading+and+writing+RDF+as+RDF/XML,+N-Triples+and+Turtle+Terse+RDF+Triple+Language,+RSS+and+Atom+syntaxes+via+the+Raptor+RDF+Parser+Library.
*+Querying+with+SPARQL+and+RDQL+using+the+Rasqal+RDF+Query+Library.
*+Data+aggregation+and+recording+provenance+support+with+Redland+contexts.
*+Language+Bindings+in+Perl,+PHP,+Python+and+Ruby+via+the+Redland+Bindings+package.
*+Command+line+utility+programs+rdfproc+(RDF),+rapper+(parsing)+and+roqet+(query).
*+Portable,+fast+and+with+no+known+memory+leaks.|code-block|syntax|javascript|2726927|entityMap|0|LINK|mutability|MUTABLE|url|http://librdf.org/^0|D|7|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|U|8|@]|9|@$A|V|B|W|1|X]]|C|$]]|$1|D|3|E|5|6|7|Y|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|Z|8|@]|9|@]|C|$]]|$1|H|3|I|5|J|7|10|8|@]|9|@]|C|$K|L]]|$1|M|3|-4|5|6|7|11|8|@]|9|@]|C|$]]]|N|$O|$5|P|Q|R|C|$S|T]]]]

Dave Beckett's <a href="http://librdf.org/" rel="nofollow">Redland</a> is a great way to start.

Features:

Redland is a set of free software C libraries that provide support for the Resource Description Framework (RDF).

<pre><code>* Modular, object based libraries and APIs for manipulating the RDF graph, triples, URIs and Literals.
* Storage for graphs in memory and persistently with Sleepycat/Berkeley DB, MySQL 3-5, PostgreSQL, AKT Triplestore, SQLite, files or URIs.
* Support for multiple syntaxes for reading and writing RDF as RDF/XML, N-Triples and Turtle Terse RDF Triple Language, RSS and Atom syntaxes via the Raptor RDF Parser Library.
* Querying with SPARQL and RDQL using the Rasqal RDF Query Library.
* Data aggregation and recording provenance support with Redland contexts.
* Language Bindings in Perl, PHP, Python and Ruby via the Redland Bindings package.
* Command line utility programs rdfproc (RDF), rapper (parsing) and roqet (query).
* Portable, fast and with no known memory leaks.
</code></pre>

blocks|key|2726941|text|从芝麻开始:它很简单，很适合解析(使用Rio)，并且可以作为一个三元组。默认安装分为两个web应用程序:一个用于端点，另一个用于在端点上执行一些管理/查询。请考虑到sesame已经定义了一个名为Sail的抽象接口，有几个供应商确实实现了该接口。所以你可以毫不费力地使用相同的接口，将你的数据存储在jena，virtuoso，allegrograph，bigowlim上，甚至通过tinkerpop堆栈存储在其他图形数据库如neo4j上。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2726942|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

start with sesame: it's simple and good for parsing (using Rio) and as a triplestore.
The default installation is divided in two web application: one for the endpoint, and one for do some management/query on that. Please consider that sesame has defined an abstract interface called Sail, that several vendors does implement. So you could use with little effort the same interface, storing your data actually for example on jena, virtuoso, allegrograph, bigowlim or even on other king of graphdb such as neo4j via the tinkerpop stack.

I'd like to learn more about RDF/SPARQL implementation internals, but most of the frameworks are (necessarily) somewhat complicated by real-world performance and implementation consideratins. I am curious if there is a "reference" implementation that would be suitable as a low-level teaching tool? What is the RDF/SPARQL implementation that is the smallest/cleanest from a code standpoint?

Simplest SPARQL implementation for educational purposes?

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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我想了解更多关于RDF/SPARQL实现内部机制的知识，但是大多数框架(必然)在实际性能和实现方面都有些复杂。我很好奇是否有适合作为低级教学工具的“参考”实现？从代码的角度来看，最小/最干净的RDF/SPARQL实现是什么？

问用于教育目的的最简单的SPARQL实现？
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