用Firefox 2.0打开

http://e-culture.multimedian.nl/demo/search

即可。

下面摘录有关介绍：

Description
This is a demonstration of how Semantic Web technology can help to interactively search, navigate and annotate annotated media collections.

Implementation details
The prototype is built using the SWI-Prolog SeRQL engine. For the prototype, we first uploaded the metadata of the painting collection (after conversion to RDF, using the VRA vocabulary). Second, to be able to use some semantic background knowledge, we uploaded RDF versions of the Getty thesauri (AAT, ULAN and TGN). Finally, to find search results referring to synonyms or other closely related words, in future versions we will also upload an RDF-version of Wordnet.
It will display the results of a (fuzzy) keyword search on the string 'monet'. The engine has indexed all literals in the RDF triple store, which allows us to quickly find all RDF literals matching the search term. For every match, we look in the neighborhood in the RDF graph for resources of a particular type. For now, we select resources of rdf:type vra:visualResource that are within a certain distance metric (default threshold=0.05, lower thresholds return more results) of the matching literal. Thumbnails of all resulting resources will be generated on the fly, along with the vra:title and vra:creator are shown on the upper half of the screen. The lower half will show the same titles in an interactive timeline view, using the dc:date property. A second timeline shows the lifespan of the creators of the results. Note that the latter timeline uses background knowledge that originates from the RDF version of Getty's ULAN (Universal List of Artist Names). In addition to conveying the temporal relations among the paintings and their creators, the timelines are also used for semantic navigation and search. In the current prototype, for example, all painting titles are clickable and can be used to navigate to a web-based annotation form where (privileged) users can add, delete and edit the RDF metadata of the selected painting. The names of the creators in the bottom timeline are also clickable and can be used to refine the search. For example, in contrast with the fuzzy keyword search on 'monet' in the initial query, clicking on the name Monet, Claude in the timeline, will result in an exact search matching all vra:visualResources with a vra:creator property that is equal to the URI that identifies Claude Monet in the Getty ULAN database.

该系统的数据格式主要是RDF/RDFS。在本体表达上是采用OWL－DL,如使用time ontology支持时间推理。该系统的最大特点是，数据规模极大，达近千万Triples，而且这些数据绝大多数来自于现成标准。系统的实现者自己不敢生造数据，以满足本系统演示的独特需要，以此体现SW的分布式数据生成的基本特征。

对不起，我这一段时间一直在外地开会。只能简要介绍该系统，而且可能不会回复你们的其他问题，望见谅。

作为该系统的主要参与者之一，黄老师的回答无疑是最具权威性的。:-)

史忠植老师在“语义Web的逻辑基础“（中国科学E辑2004, 34(10)）提出动态描述逻辑 DDL将静态知识和动态知识表示与推理有机地整合在一起，形成了一种能同时处理静态知识和动态知识的统一的形式化逻辑框架。从而语义 Web上的逻辑推理不仅包括对静态知识(本体)的推理,  而且也包括对动态知识(服务)的推理.这里把动态知识理解为服务，和动态工作流有何异同呢？服务和工作流相似？服务构成工作流的执行单元？查了《计算机集成制造系统》2006.2的文章《基于 Web 服务与资源模型的动态工作流互操作框架》，看了后不甚明了，有看过或感兴趣的看了讨论下吧