计算机科学论坛-- 欢迎体验 Semantic Web Challenge 2006 冠军项目： MultimediaN E-Culture demonstrator

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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.

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谢谢admin
老外的东西很有意思
并不是很复杂但挺实用

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试用了swc2003以来的大部分项目，尤其是得奖的，但说实话没感觉跟非semantic的web有很大区别，为什么呢？是因为我理解得不深（关注sw半年左右）？还有sw技术都体现在后台了？
楼主不妨就MultimediaN E-Culture demonstrator阐述一下自己的看法和使用心得，大家交流下吧。

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老外的项目只要使用了RDF存储就号称是semantic technique based application……
现在就出现那种完全囊括sw7层的应用还不太现实
一点点来吧

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该系统在设计上采用使用界面上简单方便，把SW技术作为后台支持的策略。实际上该系统支持不同层次的查询推理，可采用简单查询，高级查询，以及支持RDF查询语言等。值得注意的是其查询结果采用基于语义关系分组显示的方法。如用关键词Monet查询，其结果分为“Monet在画中”与“Monet作的画”等不同分类，在这一点上是现有的搜索引擎做不到的。Google目前也无法做到根据语义关系结果分类。

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。

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感谢黄老师为大家介绍E-Culture系统。

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。:-)

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多谢黄老师了
千万级triple……
不知道后台数据库是怎么管理的？

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感觉与传统的查询系统不一样,分类返回不同语义的结果集,学习中.....
谢谢!!

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第二届semantic web challenge(swc04)除了Minimal Requirements外，组委会列了很多可加分的Additional Desires，其中一条就包括鼓励结合静态知识和动态知识，如静态本体和动态工作流（Combination of static and dynamic knowledge (e.g. combination of static ontologies and dynamic workflows)），有什么应用探索吗？大家觉得如何结合？探讨下吧。


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