You can find a lot of good use case examples at the w3c's Semantic Web Use case site [1] which has links to many write-ups by companies who built actual systems using semantic web technologies.
Microsoft Interactive Media Manager is a metadata management system developed on the Microsoft SharePoint platform that heavily leverages RDF, OWL, and SPARQL. It has some big customers in the broadcast space and is an excellent example of enterprise use of these technologies.
We are serving up rdf at biodiversity.org.au, and are planning to put a SPARQL engine over it. The bioinformatics community is very interested in RDF in general.
语义 Web 数据模型的灵活性使得许多使用传统关系技术难以交付的应用程序成为可能。 到目前为止，此列表中的响应往往集中于以 Web 为中心的应用程序，而不是企业中的应用程序，可能是因为人们可以实际链接到它们，但语义 Web 技术也在防火墙后面悄然起飞。 我的雇主 Cambridge Semantics 开发了一个用于企业应用程序开发的语义 Web 平台，客户包括：
Johnson & Inc.。 约翰逊·
默克
集团
雪佛龙百
健 Idec
The flexibility of the semantic web data model enables lots of applications that are difficult to deliver using traditional, relational technologies. The responses so far on this list tend to focus on Web-centered applications, rather than those in the enterprise, probably for the reason that one can actually link to them, but semantic web technology is quietly taking off behind the firewall as well. My employer, Cambridge Semantics, produces a semantic web platform for enterprise application development, with customers including:
At Yahoo! Search we use RDF to crawl for semantic data and power our Rich Results. Check out searches for "thai chili" and "paul tarjan facebook".
If you want to see all the semantic data we pull out of pages, install the "Structured Data Display" SearchMonkey plugin and under every result you will see an inforbar full of the RDF serialized as RDFa. (I can't post links since I'm new here).
The fedora commons digital repository project uses Dublin Core as a central part of describing the individual objects in the repository. Additionally, they have created a rdfs ontology of the internal relationsships between the objects, called RELS-EXT. All this information is accessible through sparql or itql queries, both programmatically and through a web interface.
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Metatomix 在一些应用程序中使用语义技术（RDF、本体等）：www.metatomix.com
Metatomix uses semantic technologies (RDF, ontologies, etc) in a few of their applications: www.metatomix.com
查看Calais Viewer 的实际应用程序。
Have a look at the Calais Viewer for a real world application.
您可以在 w3c 的语义 Web 用例站点 [1] 上找到很多好的用例示例，该站点包含许多由使用语义 Web 技术构建实际系统的公司撰写的文章的链接。
干杯，
迈克尔
[1] http://www.w3.org/2001 /sw/sweo/public/UseCases/
You can find a lot of good use case examples at the w3c's Semantic Web Use case site [1] which has links to many write-ups by companies who built actual systems using semantic web technologies.
Cheers,
Michael
[1] http://www.w3.org/2001/sw/sweo/public/UseCases/
本体感知搜索引擎：
移动应用程序：
Ontology-aware search engines:
Mobile applications:
Microsoft Interactive Media Manager 是一个在 Microsoft SharePoint 平台上开发的元数据管理系统，它大量利用了 RDF、OWL、和SPARQL。 它在广播领域拥有一些大客户，是企业使用这些技术的一个很好的例子。
Microsoft Interactive Media Manager is a metadata management system developed on the Microsoft SharePoint platform that heavily leverages RDF, OWL, and SPARQL. It has some big customers in the broadcast space and is an excellent example of enterprise use of these technologies.
我们在 Biodiversity.org.au 上提供 rdf，并计划在其上安装 SPARQL 引擎。 生物信息学界总体上对 RDF 非常感兴趣。
看：
http://biodiversity.org.au/name/Dodonaea%20viscosa.rdf
html搜索界面位于
http://biodiversity.org.au/name/
另请参阅
http://rs.tdwg.org/ontology/voc/TaxonConcept
请注意你在网络浏览器中看到的是 OWL 通过样式表运行。 执行“查看源代码”来查看 OWL。
We are serving up rdf at biodiversity.org.au, and are planning to put a SPARQL engine over it. The bioinformatics community is very interested in RDF in general.
See:
http://biodiversity.org.au/name/Dodonaea%20viscosa.rdf
The html search interface is at
http://biodiversity.org.au/name/
Also see
http://rs.tdwg.org/ontology/voc/TaxonConcept
Note that what you see in the web browser is OWL run through a stylesheet. Do a "view source" to see the OWL.
语义 Web 数据模型的灵活性使得许多使用传统关系技术难以交付的应用程序成为可能。 到目前为止，此列表中的响应往往集中于以 Web 为中心的应用程序，而不是企业中的应用程序，可能是因为人们可以实际链接到它们，但语义 Web 技术也在防火墙后面悄然起飞。 我的雇主 Cambridge Semantics 开发了一个用于企业应用程序开发的语义 Web 平台，客户包括：
The flexibility of the semantic web data model enables lots of applications that are difficult to deliver using traditional, relational technologies. The responses so far on this list tend to focus on Web-centered applications, rather than those in the enterprise, probably for the reason that one can actually link to them, but semantic web technology is quietly taking off behind the firewall as well. My employer, Cambridge Semantics, produces a semantic web platform for enterprise application development, with customers including:
在雅虎！ 搜索我们使用 RDF 来抓取语义数据并为我们的丰富结果提供支持。 查看“thai chili”和“paul tarjan facebook”的搜索。
如果您想查看我们从页面中提取的所有语义数据，请安装“结构化数据显示”SearchMonkey 插件，在每个结果下您将看到一个完整的信息栏，其中包含序列化为 RDFa 的 RDF。 （我无法发布链接，因为我是新来的）。
At Yahoo! Search we use RDF to crawl for semantic data and power our Rich Results. Check out searches for "thai chili" and "paul tarjan facebook".
If you want to see all the semantic data we pull out of pages, install the "Structured Data Display" SearchMonkey plugin and under every result you will see an inforbar full of the RDF serialized as RDFa. (I can't post links since I'm new here).
fedora commons 数字存储库项目 使用 都柏林核心作为描述存储库中各个对象的中心部分。 此外，他们还创建了对象之间内部关系的 rdfs 本体，称为 RELS-EXT。 所有这些信息都可以通过 sparql 或 itql 查询，以编程方式和通过 Web 界面进行。
The fedora commons digital repository project uses Dublin Core as a central part of describing the individual objects in the repository. Additionally, they have created a rdfs ontology of the internal relationsships between the objects, called RELS-EXT. All this information is accessible through sparql or itql queries, both programmatically and through a web interface.
Garlik 的三个 (www.garlik.com) 服务 DataPatrol、QDOS 和 FOAF 查看器都使用 RDF 和SPARQL 广泛。
尤其是 DataPatrol，在英国拥有数万名用户。 数据集大小约为 100 亿个 RDF 三元组。
Three of Garlik's (www.garlik.com) services, DataPatrol, QDOS and a FOAF viewer all use RDF and SPARQL extensively.
DataPatrol in particular and has tens of thousands of users in the UK. The dataset size is around ten billion RDF triples.
O'Reilly 的 Practical RDF 有一个题为 RDF/XML 的商业用途。 左侧的表格列出了以下小节：Chandler、RDF 网关、Seamark 和 Adobe 的 XMP 的东西。
O'Reilly's Practical RDF has a chatper titled Commercial Uses of RDF/XML. The table at the left lists the subsections: Chandler, RDF Gateway, Seamark, and Adobe's XMP stuff.