新书推介:《语义网技术体系》
作者:瞿裕忠,胡伟,程龚
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    >> 本版讨论Semantic Web(语义Web,语义网或语义万维网, Web 3.0)及相关理论,如:Ontology(本体,本体论), OWL(Web Ontology Langauge,Web本体语言), Description Logic(DL, 描述逻辑),RDFa,Ontology Engineering等。
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     w.w.song 帅哥哟,离线,有人找我吗?
      
      
      
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    发贴心情 

    Two aspects: pure research on SG will use most of SW methods, where some changes are required for various resource descriptions (like CPU time).
    Application research will be how to integrate various resources to accomplish a given task, involving semantic capture and semantic matching.

    以下是引用npubird在2004-7-23 15:59:40的发言:
    Semantic Grid我上个学期也看过一些资料,但能检索到的有用的文献不多,总的感觉现在提出的东西还比较粗,当时相关的网www.semanticgrid.org在很长一段时间没有更新内容。最终我还是放弃了对这个方向的进一步探索。
    目前国内已经有学校申请到了Semantic Grid的相关研究基金。
    IEEE Intelligent System也开辟了相关的Semantic Grid的专期。
    我也特别想听听宋老师对Semantic Grid的看法。
    [quote]以下是引用grid在2004-7-23 15:35:30的发言:
    宋老师,您好!

      我已进入博士理论研究阶段,并对网格已有一段时间的研究。现在,对Semantic Web很感兴趣,想了解Semantic Grid领域目前的研究进展和趋势,谢谢!
    [/quote]


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    DL (digital library) is indeed playing an important role introducing metadata to web resources. Lib catalog plus current search method (data) is a good KB. I think this method may be good for organizing web information in some way.
    However, lib catalog is not purely an ont. Many other domain ont are quite different from lib catalog. Integration is a problem. Lib catalog is neither a common sense ont, like what what we have in our mind.
    I don't think DL methods will dominate the Web or SW.
    Sorry my guest has arrived.

    WE HAVE TO STOP HERE.
    THANK YOU VERY MUCH FOR THE DISCUSSIONS AND VERY GOOD QUESTIONS.

    以下是引用micky在2004-7-23 16:08:48的发言:
    宋老师,在您的《语义网简明教程》中提到“数字图书馆作为下一代因特网资源管理的核心技术,...”。这两年数字图书馆的概念已经提升到基于知识概念体系的资源管理和知识管理,在各种领域各种规模范围内都得到长足的发展和应用。数字资源的语义元数据加上分类法和主题词表(本体)等就构成为一个庞大的知识库。

    我的问题是:
    1. 如何将跨越众多领域的分类法和主题词表用现在的本体方式来组织和表示?这样的目的是将原来由图书馆员来完成的资源分类组织和管理,能够通过计算机来方便地处理和完成,效率更高。

    2. 未来数字图书馆中的检索是否可以完全使用知识查询(搜索)的方式来完成?在实施方法与途径上,能否请宋老师指点指点?


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    发贴心情 
    在过去的2个小时中,宋老师为我们解答了很多问题,这对大家将来的研究工作是大有裨益的。感谢宋老师! 但是时间有限,而且宋老师已经敲了一下午键盘,一定很辛苦了,因此本次宋老师做客SW版活动将在16:30结束。感谢大家的配合。最后让我们再次感谢宋老师的光临,并欢迎宋老师在有空时常来论坛看看! ((鼓掌))

    ----------------------------------------------

    -----------------------------------------------

    第十二章第一节《用ROR创建面向资源的服务》
    第十二章第二节《用Restlet创建面向资源的服务》
    第三章《REST式服务有什么不同》
    InfoQ SOA首席编辑胡键评《RESTful Web Services中文版》
    [InfoQ文章]解答有关REST的十点疑惑

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    2个小时以高频率地不停地敲击键盘,实在是辛苦了,非常感谢!

    //最崇高的敬意!

    以下是引用w.w.song在2004-7-23 16:35:10的发言:

    WE HAVE TO STOP HERE.
    THANK YOU VERY MUCH FOR THE DISCUSSIONS AND VERY GOOD QUESTIONS.


    ----------------------------------------------
    Semantic Web is a dream; Semantic Web technology is 
    the reality.
    Weblog: http://blog.w3china.org/~orangebench/

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    好~~~请大家停止提问了。。。

    让我们用热烈的掌声感谢并欢送宋老师!

    ----------------------------------------------

    -----------------------------------------------

    第十二章第一节《用ROR创建面向资源的服务》
    第十二章第二节《用Restlet创建面向资源的服务》
    第三章《REST式服务有什么不同》
    InfoQ SOA首席编辑胡键评《RESTful Web Services中文版》
    [InfoQ文章]解答有关REST的十点疑惑

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    谢谢!

    以下是引用w.w.song在2004-7-23 16:35:10的发言:
    DL (digital library) is indeed playing an important role introducing metadata to web resources. Lib catalog plus current search method (data) is a good KB. I think this method may be good for organizing web information in some way.
    However, lib catalog is not purely an ont. Many other domain ont are quite different from lib catalog. Integration is a problem. Lib catalog is neither a common sense ont, like what what we have in our mind.
    I don't think DL methods will dominate the Web or SW.
    Sorry my guest has arrived.

    WE HAVE TO STOP HERE.
    THANK YOU VERY MUCH FOR THE DISCUSSIONS AND VERY GOOD QUESTIONS.

    [quote]以下是引用micky在2004-7-23 16:08:48的发言:
    宋老师,在您的《语义网简明教程》中提到“数字图书馆作为下一代因特网资源管理的核心技术,...”。这两年数字图书馆的概念已经提升到基于知识概念体系的资源管理和知识管理,在各种领域各种规模范围内都得到长足的发展和应用。数字资源的语义元数据加上分类法和主题词表(本体)等就构成为一个庞大的知识库。

      我的问题是:
      1. 如何将跨越众多领域的分类法和主题词表用现在的本体方式来组织和表示?这样的目的是将原来由图书馆员来完成的资源分类组织和管理,能够通过计算机来方便地处理和完成,效率更高。

      2. 未来数字图书馆中的检索是否可以完全使用知识查询(搜索)的方式来完成?在实施方法与途径上,能否请宋老师指点指点?
      
    [/quote]


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    This is an interesting question. Here I just try to finish replying the questions I did not answer yesterday afternoon because of a guest visiting me.
    As a matter of fact, the guest is a philosopher and he told me something about the ontology as a discipline/subject. However, I think the ontologies that we build for SW are only limited to a very primitive level (a simple concept tree for the purpose of reasoning). We will not attempt to solve philosophy issues.

    以下是引用hawk在2004-7-23 16:10:07的发言:
    宋老师,您好。
    我想请教这样一个问题。

    我们的本体是西方哲学的本体论思想在人工智能、知识表示等领域的体现。
    但在哲学上,很多学者的在反思本体论后,
    逐渐认为ontology的研究不可能得到结果。
    因此逐渐转向认识论、价值论的研究发展。
    例如维特根斯坦的“家族类似”观点,认为本质属性并不存在。
    回到我们这边的本体来,此时,我们建立的各种各样的本体,
    将因为个体例外的存在,
    使本体推理难以保证结果的正确性。

    您认为,我们的本体是否会存在上述问题?

    谢谢!



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    In my opinion, the current SW languages (including ont languages) should be able to describe service ont. In a restricted application, it should not be difficult to build up some sort of ont for services. However, to test whether the SW languages (OWL, etc.) are really suitable for service ont. is not easy. I would suggest to build a specific ont and parser for a specific domain. Achieve both significance and doable.

    以下是引用grid在2004-7-23 16:16:23的发言:
    谢谢!
    在Grid中,一切资源均以服务的形式向外提供,与Web services类似(现在Grid services与Web Services已出现融合的趋势)。请问宋老师,目前SW language是否足以描述特定领域的服务本体?如果从事该领域研究,难度会不会过大?

    [quote]以下是引用w.w.song在2004-7-23 15:57:19的发言:
    I think the breakthrough of SW will be either (or both) in Semantic Grid (e-Sci.) and Web services, where Web services will be closely realted to Grid.
      One of the SG research activities is virtual organization (VO). Another is SGS (Semantic Grid Service).
      Fundamental research issues include 1) how to capture semantics for Grid nodes and 2) how to integrate these nodes to form a service or organization.
      One of the current problem is Web service lanagueges are at low level while SW language at high. Key should be to generate a THING in between.
      [quote]以下是引用grid在2004-7-23 15:35:30的发言:
      宋老师,您好!

       我已进入博士理论研究阶段,并对网格已有一段时间的研究。现在,对Semantic Web很感兴趣,想了解Semantic Grid领域目前的研究进展和趋势,谢谢!
      [/quote]
    [/quote]


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    Definitely this is doable. First of all, you need to analyze a domain/application problem. One example is health care domain. You need to develop 1. ont for diseases, for organs, for symptons, etc., 2. intelligent search engines for patients, medicines, etc. Semantics in various areas is required from time to time in this aspect. Interesting and challenging.
    以下是引用micky在2004-7-23 16:17:07的发言:
    我是希望能够充分利用现有语义网方面的研究成果,结合数字图书馆、知识管理平台(企业)、知识搜索引擎等应用领域来做具体的应用。不知这种想法是否现实?宋老师能否给提些意见与建议?谢谢!

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    发贴心情 
    Dear Prof. Song,

    I would like to hear some comments from you on prospective key research issues in the semantic web (SW) field, and what you are going to choose to focus on? ;)

    Here is some of my comprehension of the SW. From an application developer point of view, SW is not a big deal. It helps to solve some problem on describing things but mostly for interoperability sake. As we all face a step to describe data in any of our program, to be able to make it *universally* understandable, we tag it (which is the XML fashion). A more general case is to make a tag with another "tag" - namespace where one can refer to as a description of the tag. And if the namespace links to a URL document, it may be further described with ontology basis. So it ends up with that we are sharing model (probably partial) with others.

    I think the key of SW is to share knowledge together with its model to others however with the premise that both share a common ontology underneath the model description. Given all these ready (in terms of documents and links), one can reason to get some results, such as a pear is a fruit which is a kind of thing to be rotted in 7 days at normal temperature during the autumn season on the east part of earth (remember this odd sentence from which old sci-film?:)).

    But, this is really not a big deal as people have done huge work on knowledge representation so-called AI bubble failure before the recent IT and agent technology bubbles. One can easily borrow from them or modify to conform the SW formation e.g., from the earlier KIF form. Using existing reasoning engine (such as Jena using backward chaining reasoning). So in general behind the SW hype,  it is a set of tools (RDF, RDFS, OWL) to help to describe your data for a better interoperability whatever the underlying basis is (based on ontology or not) they can be treated as a blackbox. If these technologies survive, they will become common as today's XML and C language which everyone (programmer) is familiar with.

    However, the problem is there is no one universal ontology to be able to describe common sense knowledge, so the use of ontology is limited to domain knowledge description, so everyone is going to define their ontologies for their models such as many by DAML and these applications will still be independent as they are nowadays until someday some commercial ontology (I would say a protocol) gets accepted by the market, then we will rely on it (isn't MS uPnP doing this connecting communication with semantic descriptions).

    As SW technologies become *mature*, it is attractive for application developers who have new topic/standard to spend energy to conform to (just the matter of time for them) but really a dark day for researchers to repeat the failure road :(

    My prediction of the extensions of near future SW (if it survives) willl be the revival of the old AI technology such as rule-based system with support for fuzzy logic, probablistic and uncertain reasoning, then machine learning things etc.

    Thanks and just come to have a discussion here

    /B.C.

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