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    发贴心情 Linked Data is not owl:sameAs Semantic Web [2009-3-30]

    http://blog.semantic-web.at/2009/03/30/linked-data-is-not-owlsameas-semantic-web/

    March 30, 2009 By: Andreas Blumauer Category: Linked Data & Open Data, Search Engines


    While some people work heavily on the extension of the semantic web infrastructure, like [URL=http://blogs.talis.com/n2/cc]Talis Connected Commons[/URL] or [URL=http://virtuoso.openlinksw.com/wiki/main/Main/VirtInstallationEC2]OpenLink's Amazon EC2 Instantiation[/URL] others have started to bring the semantic web closer to the developers and therefore to a much broader audience: They offer search facilities or Linked Data Navigators like [URL=http://lod.openlinksw.com/]OpenLink's Entity Finder[/URL] or [URL=http://visinav.deri.org/]DERI's VisiNav[/URL].

    Those kind of applications should not be confused with “semantic web” end-user-applications like [URL=http://searchengineland.com/google-wonder-wheel-17093] Google's Wonderwheel[/URL] or [URL=http://www.crunchbase.com/company/intspei]INTSPEI's[/URL] [URL=http://www.intspei.com/Products/SearchCloudlet.aspx]Cloudlet[/URL]: To add some semantics to existing user-interfaces can be helpful and obviously users are ready for such experiments, but of course this is NOT the innovation which the semantic web will bring but it is a very important step to be taken in parallel with the [URL=http://esw.w3.org/topic/SweoIG/TaskForces/CommunityProjects/LinkingOpenData]linked data initiative[/URL].

    Let's take a look at Cloudlet: This tool is an easy-to-use [URL=http://www.getcloudlet.com/]free Firefox extension[/URL] that adds context-sensitive tag clouds to the most popular search engines and helps people more efficiently navigate through their search results. The previous version of Search Cloudlet worked with Google and Yahoo; the new version also works with Twitter. It adds Tag Clouds, Author Clouds, Recipient Clouds and Hashtag Clouds to Twitter search, Twitter user profiles and home pages. See [URL=http://www.getcloudlet.com/swm.php?page=reviews]some reviews[/URL] on this popular tool.

    Cloudlet is a child of the Web. INTSPEI has learned all lessons from Web 2.0 especially how to promote ideas using the blogosphere and how to identify market trends as early as possible, and it generates some added value for the users which is obvious. Sure, it doesn't make use of linked data yet, but as a typical representative of the fast growing “semantic search evolution” it reminds me on [URL=http://domino.research.ibm.com/comm/research_people.nsf/pages/welty.index.html]Chris Welty[/URL]'s famous insight: “In the Semantic Web, it is not the Semantic which is new, it is the Web which is new.”

    Web 1.0 was the WWW without tons of network effects. Web 2.0 changed that a lot.

    Linked Data is not the Semantic Web, it's the basement for it. From a software developer's and an IT archictect's perspective it might seem as those two concepts were the same. But this community represents a very small percentage of all web-users.

    So where is the User's Web in the Linked Data architecture? If you're looking at [URL=http://www.w3.org/DesignIssues/LinkedData.html]TimBL's Linked Data principles[/URL] one can clearly see that this is a “Web” for developers.

    But things evolve. And some Web companies will jump on the bandwagon and will, for instance, improve their tagclouds, their semantic search, their recommender systems (Twine?) or their similarity search a lot by making use of linked data.

    Like semantic search becomes mainstream (or call it “semantic search 2.0″) right now, then (in about three years, I guess) linked data will become part of a lot of mainstream applications. Linked data will generate tons of new network effects, maybe even new business models, it won't be avant-garde anymore. It will be part of the Semantic Web.


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    发贴心情 
    很有意思,这个帖子,我倒是看了Deri的VisiNav,觉得还是不错的,所以现在离实用还有距离。不过感觉DERI很会包装和宣传,这里面用的技术都已经比较成熟,但是最后大家会记住他们的,而比他们技术更加先进的却可能被遗忘。在这点上,他们很值得我们学习。
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    发贴心情 
    事实上各行各业的标准制定也并不都是以最先进、最好用的技术为标准的。更何况只是在系统实现的层面呢。可能是成熟的技术比较容易进入应用领域,而太先进的技术往往和现行的系统的融合不是那么好吧。

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    发贴心情 
    大家会记住他们的

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