15 (and counting) Ways to Explore ISWC 2010 Data

This year at ISWC, when we worked on the metadata, we have a Data Consuming task force to develop tools that can browse/visualize the data many different ways, e.g., faceted browser, filter browser and mobile browser.

As soon as we have the basic dataset published, we immediately get feedback from people on off-the-shelf tools that can work with the data. The list is quickly growing. I collected the screen shots of some working instances (including tools the metadata committee has built) in a slides. I have no doubt that the number “15″ will be changed when the main conference begins …. in 2.5 hours! So expect some updates very quick.

read more

一个Semantic Media Wiki简短教程

原文写于2009-07-21, 做于RPI Web Science Summer Research Week (。时间:30分钟;级别:初级。

[slideshare id=4695877&doc=2009-07-21smwtraining-100706155939-phpapp01]

Jesse Wang等在ASWC做过一个很棒的SMW的完整教程,感兴趣的可以去看他的Slidesahre主页:


P.S. 今天 Semantic MediaWiki 1.7.0 发布。


摘要:语义网应用适合于那种数据不断动态变化的情况。另外一个特点,就是它可以打破应用间的界限,打破服务间的界限。用语义维基(Semantic Wiki)做应用的一些例子,本身谈不上什么价值,只是这种思路,我觉得以后可能会有用。

注:关于语义维基基础,参《一个Semantic Media Wiki简短教程》(2009-07-21)

今天和人聊到语义网应用的一些特点,我举了用语义维基(Semantic Wiki)做应用的一些例子。下面引用的,大部分来自我以前的一篇文章:

read more


The Unbearable Lightness of Wiking

这是我2010年5月在Spring SMW Conference 2010 (MIT)上的一个幻灯片。总结了KAHT项目(由DARPA支持)关于语义维基(Semantic Wiki)可用性的一个实验的结果。我们发现,普通用户的语义建模能力,很难产生有意义的语义数据。这不仅是系统本身(Semantic MediaWiki)的问题,更深刻的,是人的认知能力的问题。很多在知识表现学者想当然的问题,在“普通人”,会有完全不同的,“千奇百怪”的想法。

read more

Towards Webtop [2008]


Some of our Tetherless World researchers including me have just written a short paper to sell the idea of constructing a “webtop” using semantic technologies. In short, a webtop is a desktop on the web, that does similar jobs such as managing files, doing word processing, managing contacts, scheduling tasks, emailing, etc. Please see some examples of webtops with pretty GUIs.

Almost one decade ago, there has been hot for a while for the concept of “network computer”. At that time, a network computer means some low-end computer with limited storage and computational capacity that relying on the network to get great power. The webtop idea reminds me of network computer as they, while are different in many aspects, share the same idea of powering users with networked infrastructure. Ten years ago, this vision was tested with physical computers but largely failed, while today, with the advance of technologies, is revived by allowing users to create virtual computers that only exist on the websphere. I have many reasons to believe this time it will not only survive, but also prevail.

read more



Recommender Systems 【非常基础】

Recommender Engines 【同上,一般方法综述】

Tutorial: Recommender Systems 【IJCAI 2011上的教程,by Dietmar Jannach & Gerhard Friedrich】

王守崑 – 豆瓣在推荐领域的实践和思考 【挺不错,有些经验之谈】

read more



目的:语义压缩。所有的Machine Learning,在本质上都是压缩算法。


Jens Lehmann: [publications]

略读了一下,感觉不是很有说服力(convincing)。对所谓Re nement Operator,觉得没有什么特别的。由于这本质是一个搜索问题,文中却没有什么讨论搜索策略。没有和统计方法和信息论结合,我觉得是很大的弱点。

read more


[slideshare id=7931807&doc=2011-05-09smw-ql-short-110511195104-phpapp01]

Expressive Query Answering For  Semantic Wikis

May 11th, 2001 at Cambridge Semantic Web Meetup

#1 Welcome

#2 Semantic Wiki as a Data Store

Semantic wikis have been increasingly popular in the past a few years. Their popularity may be attributed to many features of “wikiness”, such as being collaborative, simple, easy to learn, informality-tolerate, and evolving-capable. A semantic wiki allows you to start from unstructured, raw data, and gradually adding structures or even semantics to the data by yourself or by others. This approach often works better than many other knowledge management approaches for non-expert users.

read more

资源:一些关于Web 3.0的忽悠



The Evolution of Web 3.0

[slideshare id=370508&doc=web3evolution-1228454469401752-9]


Web 3.0

[slideshare id=986081&doc=web30090127-1233704031918346-3]

Why Web 3.0?

[slideshare id=579046&doc=sburagawhyweb30public-1220360376375851-8]

Web 3.0 explained with a stamp

[slideshare id=477354&doc=web-30-explained-with-a-stamp-1213970585021731-9]

[slideshare id=481751&doc=web-30-explained-with-a-stampptii-1214246329752545-8]

read more



TriQuint是我很关注的一个股票。一个新闻说:TriQuint’s quarterly revenue falls 11% to $224.3m


read more


说明: 这个版本的翻译是以前一个朋友发给我的. 很抱歉忘了他们的出处. 虽然有一些地方翻译的不精确, 但可以作为一个非常好的中文版翻译的起点


[scribd id=54005198 key=key-edi8ualdoim4qsgyn8z mode=list]


[scribd id=54005773 key=key-10d9usqck085ar2l6pwj mode=list]


收藏帖:Startup Best Practices [创业最佳实践]


Startup Best Practices contains in-depth conversations with Silicon Valley serial entrepreneurs who share a wealth of business experience and lessons learned that help newbie entrepreneurs focus on the important issues.

Their practical guidance in business fields such as finance, marketing and sales, and management and organization is directed at the key challenges that startups typically face. Cees J. Quirijns gets these startup wizards to share their entertaining, informative, and invaluable insights and devises the common thread.

read more





[slideshare id=4661990&doc=2008-09-04rdfsemantics-100701160820-phpapp02]

【我一直有想法把RDF,OWL和RIF的语法,语义串起来整理一遍。网上系统的中文资料好像还没有。英文的有一本Foundations of Semantic Web Technologies,最好。不过我觉得因为作者是逻辑学家,还是有点难。如果能有一个更深入浅出的讲义,最好。】

read more


为国际会议建元数据:1,2,3 (更新中)

总结我为ISWC 2010做元数据负责人(metadata chair)的经验,兼RuleML 2011元数据展望。一直想做这事,一直懒。主要是为我自己查找方便,可能比较天马行空。因为很多原始资料是英文的,所以抱歉就不翻译了。


ISWC 2010 Logo

ISWC=International Semantic Web Conference 国际语义网会议,是语义网界最主要的学术会议。另外有个IEEE International Symposium on Wearable Computers,也简称ISWC,有时会被搞混。

read more


授课时间:2009年8月24日 至 2009年8月28日
授课地点:南京市 东南大学九龙湖校区 纪忠楼(研究生教学楼)310室
主讲人:黄智生教授(Zhisheng Huang)


视频里还看到了瞿裕忠教授、潘智霖教授(Jeff Pan)等。

我以前看Uli Sattler 一组描述逻辑视频,2005年的,也很好。贴目录在这里:

RDF and Context (域)


去年做了一点这个方向的工作,参加了RDF Next Step Workshop。这是幻灯片:

[slideshare id=4624693&doc=2010-06-24rdfcontext-100626175833-phpapp01]

现在有很多人研究怎么做RDF的时域(Temporal)和空域(Spatial)扩展,文章很多。一部分我认为重要的Temporal RDF的文章待会列到回复里。Spatial RDF我不很熟悉。比如一种建议是这样的:

read more



原发在slideshare, 2010-10-22,是在UMass Lowell的一个Talk。级别:普及。

Semantic Web: In Quest for the Next Generation Killer Apps


  • Why Semantic Web? (为什么要有语义网)
read more