一直没有很好地看看 w3c 和 SW 的坛子（ firstname.lastname@example.org ），虽然内容局限了一点，但很多讨论对于我的论文还是有帮助的。我比较关注一些较为系统的长帖，尤其是比较宏观一些的问题。
关于语义网络会成为什么样子（ How is Semantic Web going to look ）最近有一些讨论蛮有意思：
首先一个叫 Rohan Abraham 的人问了一个很菜的问题（ Sent: Friday, January 14, 2005 8:02 AM ），但是很菜的问题往往很本质，也是我们经常会被别人袭击的问题：
Can anyone tell me how semantic web is going to look in future?? Is all the HTML going to be taken away?? Or is RDF going to be along side with HTML.. Can any one answer the question and give me a link to the architecture of the Semantic Web. …
我很有兴趣看看 w3c 的大牛们怎么回答，我甚至以为可能牛人们不屑回答此类问题。很多此类问题在坛子里都悄无声息地沉了下去。
很快我们有个中国人有了第一反应，（当然属于在外国的假洋鬼子）：”嗨，老李爵士的文章可以回答你的这个问题哦！” ( Hi, TB Lee's vision answers all.) 充分显示了我们中国人的见多识广和心地善良。
From: Jun Shen
Sent: Friday, January 14, 2005 8:07 AM
Hi, TB Lee's vision answers all.
接着有个据说跟随李爵士多年的查尔斯给出了他的看法。并告知关于此类问题李爵士也写过相当多的文章，还有许多聪明人补充他们的看法，并非常努力地工作试图证明给大家看，但是事情仍然是 ing 状态，所以 …
下一代万维网并不取代现在的万维网，置标工具也是在进化、版本更新（ HTML4 到 XHTML1 到 XHTML2 ，内置 RDF ），并不废除旧的。
From: Charles McCathieNevile
Sent: Friday, January 14, 2005 4:43 PM
Along with other kinds of XML already on the Web (SVG, MathML, VoiceXML starting to appear more, SMIL, etc – all W3C XML languages for purposes that HTML is no good for, and capable of including RDF) this is already appearing all over the place.
But it isn't something you see, except in the functionality. It is something meant to be read by the machines, so they they can present things that are more like we want them to look (cool documents with little floating asterisks and aliens, or browsers that can tell you HOW they figured out why a particular flight seems like a good deal, or images that can explain themselves through a voice system to a blind child, or whatever you want the web to do)
接着一个 MIT 的李爵士的学生，听说这个查尔斯跟随李爵士多年，希望商榷一个关于本体的问题，把这个帖子的主题带偏了。
From: Shashi Kant
Sent: Monday, January 17, 2005 11:50 PM
I notice that you mention your involvement with TimBL… I am a grad student at MIT under Tim's supervision and we have regular debates about Ontology creation. As you are probably aware, Tim's view is that Ontologies should be created through a consensus approach- an “Ontology-by-committee” approach.
My view is exactly the opposite – I am a firm believer that such a consensual approach is a utopian pipedream. After all consensuses is, at the best of times, a very fickle entity. In fact I remember reading somewhere that when they got 3 domain experts in a single domain to create Ontologies, they only found about 30% commonality. And that is not even considering other typically human factors – egos (“is he really an expert?”), politics, and whatnots…
Plus it is impractical to assume that a corpus of Ontologies could be generated to accommodate the breathtaking rate at which information is being generated. I think it is just humanly impossible!
IMHO Ontologies are best generated using accepted machine learning approaches – sure they may turn out be at best 50% accurate, as compared to say a committee that takes 1 year to come up with an Ontology and spends millions of dollars to come up with an Ontology that is obsolete the moment even before it is created.
What are your thoughts on this subject? As a regular member of this board I would love to hear your thoughts on this matter.
一个莱比锡的德国人 Sören 却把这个问题深入下去。他首先赞同李爵士的”共识”论，认为人总是倾向于偷换概念，而绝对不能允许机器这么做（那天机器懂得这么做了就是人类的灾难了–科幻小说中的故事就是这么发生的），进一步他论述了一、二阶谓词逻辑和应用数学描述领域知识的重要性，并认为目前的一些进展值得夸耀。看来这也是个大师级的人物（至少也是跟李爵士多年的师叔级人物吧）
From: Sören Auer
Sent: Tuesday, January 18, 2005 12:25 AM
Seems reasonable to me too. People are only able to communicate since there is a consensus about what distinct words mean. Unfortunately people (sometimes) tend to have (slightly) different concepts in mind when communicating – that seems from time to time the reason for problems like divorce till even war. 😉
When machines are communicating we can't tolerate such misunderstandings. That's why I think there is strong need for a terminological knowledge representation like the one provided by SemWeb standards like OWL, which base on description logic and thus may support ensuring consistency and the other DL services.
To represent the whole (not only terminological) knowledge of a domain you have to use a knowledge representation at least as expressive as first order logic. Probably even second, since mathematics needs SO and which serious domain may live without maths? Unfortunately already FO logic has terrible computational caracteristics. AI communities try (more or less successful) to develop more efficient knowledge representation strategies here such as nonmonotonic resoning.
I think ontologies are not for representing all knowledge now lying around on webpages, but rather shall provide a grid to classify and maybe rearrange this knowledge, further to build common vocabularies for application systems to communicate (see WSMO, OWL-S). I think already this would be I gigantic achievement!
John Flynn 举了很多罗嗦的例子进行了一番类比：把本体的创建与网页的创建进行类比，认为本体是个多样性的世界，将会有好的本体和不好的本体，今后应该有”权威”本体，等等。
From: John Flynn
Sent: Tuesday, January 18, 2005 6:30 AM
I believe it is likely that ontologies will emerge much in the same way that html web sites and xml schema have evolved. Almost anyone can create an html web site but some become better accepted than others. Communities of interest evolve around almost every subject and out of those communities a few “authoritative” web sites emerge. For example, if you are interested in the subject of human resources there are many web sites that focus on that subject. The HR-XML Consortium provides a reliable set of xml schemas on various aspects of human resources that have been vetted by their large corporate membership. If you are interested in news you might naturally go to CNN, Google News, or one of the other widely recognized news web sites. If you are more adventurous you might try some of the news blogs as your news source. Over time selected web sites become known and accepted as providing mostly reliable information. This process will probably hold true for ontologies as well. Some ontologies will emerge as quasi standards, such as Dublin Core, and people will incorporate, modify and/or extend those ontologies as required to meet their needs. But, just as on today's public html web, there will be lots of junk ontologies posted and some ontologies created to intentionally mislead people. We will learn to deal with these just as we do with such html sites today. There will also be ontologies that are created and maintained by educational, commercial and government organizations on intranets. Basically, I don't see the growth and availability of ontologies as anything much different that what has been happening with html sites and xml schema.
又一个希望与李爵士有某种瓜葛的 Neil 先生感到这个主题非常有趣，就加入进来。他认为本体的创建确实如 Flynn 所言，不是绝对的，受市场驱动，介于完全形式化和非形式化之间，而且要做到纯学术的形式化是非常困难的。他提出一个”市场导向论”，认为经济性和迅速普及是本体是否能够生存下去的评判标准。复杂性和功能满足可以作为进一步完善的目标。
Sent: Tuesday, January 18, 2005 2:11 PM
I thought I'd join in at this point as its very interesting thread. I'd like to say I work with TimBL in some way, but I don't, in any way… 😉
I'm inputting from a business point of view, which I think like in many technical projects does feel to be missing from the semantic web discussions, and suggest it offers a few points and ideas. Prompted by agreement with John Flynn, in that I'm working on the basis that in general the production of ontologies will be a dynamic balance of formal and informal processes, mainly driven my market demand.
One would imagine that within a purely academic context, consensual methods would be more difficult because let's just say there is more appetite for absolute technical correctness and authority with more likelihood of egos and ivory towers etc. I'm quite sure if they wanted to they could stretch out the process for years! 😉
What business adds is the imperative to get something working quickly, and the understanding that it doesn't need to be perfect to be useful. Hence why I see the balance of the two; in the early days of domain development there will be much greater freedom to define and implement with less formal controls, enabling small domain teams to drive the first chunk and make it available. The point at which you need a committee approach is to enable it to scale and become universal. Quite simply for example, if you want all the big media companies to adopt a single framework, they will all need some form of equalised involvement in its development, or they won't play ball. Once you have a large cross-company team working from all over the world together, the only way to facilitate it will be via committee processes. The general idea that a committee doesn't work is not correct because we can see it can; check out VISA for example.
I'd also suggest that what business will offer is the simplicity to get things moving along. Although I'm sure it will get much more complex, all you need to start creating business value is the simple bits. For example, a tag for [Graphic designers] so that you can search the semantic web for [Graphic designers] in [London]. Hardly a massive ontology, but would actually enable lots of flow of commerce.
So it seems it's less so about the complexities of ontologies at this stage, and more about universal adoption and basic foundations, such as the DNS equivalent for registries etc. ie everyone agreeing that [Graphic designers] is the common method, so that we can move on to defining more complex elements.
一个意大利人 Dario 跳出来说了一个悖论：任何机器是无法达成共识的，必须翻译成人的语言。那么机器怎么知道是否翻译成人的概念体系了呢？
From: Dario Bonino
Sent: Tuesday, January 18, 2005 6:41 PM
I thought I'd join in at this point as its very interesting thread. I perfectly agree with Sashi about the process of ontology creation, however there is a point that it is not clear, wheter or not human knowledge and machine knowledge should have a contact point. In the last case I think that, at this moment, we are committed to the human classification. In other words, we could extract many clusters (or other, I don't know which is the exact term, sorry for my english) using LSI, or similar techniques but we also need a group of humans saying “ok, for a human being this cluster means that concept” at least with a certain degree of confidence… This is the biggest problem I think, the join point between human and machines. In my opininion, it doesn't matter where the join point is,
on the ontology rather than on mapping automatic extracted knowledge to human knowledge.
The problem is in that, if we want to deal with human beings we need humans to tell about what resources are… I don't know any machine thinking like humans, until now….
那个 MIT 的学生可能对于他的帖子中的文法错误感到不好意思，出来对着个话题作了一个很好的总结。看得出来这个后生还是有不少研究的，在这个领域。
1 他认为本体创建中机器、人工的参与比例应该为 8 ： 2 ；
4 自动创建的本体即使只有 10% 可用，也比人工创建的好；
然后举了一大堆例子（ MIT 数据中心的人怎么说 … ，这些人多么牛逼 … ，如果他们以及沃尔玛 / 戴尔等能够应用 S/W ，将使 S/W 成为 Kill App… ），强调说明他的第 5 点。
From: Shashi Kant
Sent: Tuesday, January 18, 2005 8:09 PM
Hello Charles and everyone for responding and making this an interesting discussion. IIRC this thread has turned out to be one of the most interesting on this forum for a very long time. First off, let me apologize for the poor grammar and typos in my last post …I was very sleep-deprived and tired..take pity on me I am @MIT 🙂
1. I largely agree with the positions that Charles, Dario et al have taken, that ultimately we may end up with a hybrid approach to Ontology creation – a combination of machine-generated with human-generated. If I were to hazard a guess… perhaps in 80/20 proportion.
2. I would take another guess at this and say that the majority of top-level Ontologies would likely be human-generated, and most domain-specific ontologies would be machine generated. Perhaps Aligned and/or merged with the top-level ones.
3. Another thing counter-intuitive about the idea of human-generated Ontologies is …after all the semantic web is about making the web machine-comprehensible, so why not automate the Ontology generation process to the extent possible? It just does not make sense to place humans in the middle of this process.
4. I would further argue that if someone were to come up with a good IR algorithm and feed the encyclopedia Britannica to it. The resultant Ontologies may be contain..say only 10% of the concepts/relations in that domain. But that's 10% (some might say 10^n %) better than nothing! Take Charles' example – “medieval European Recipes”. Unless someone really has a vested interest in creating a domain Ontology for medieval culinary art I would doubt anyone would ever bother creating one. I would be very surprised if DARPA or MIT or Stanford would fund a medieval cooking ontology creation committee.
5. The semantic web idea has been out there for quite a while now, but we don't really have very many Ontologies that can claim to be acceptably complete. Ontology availability is, IMHO （以愚之见） , the single biggest challenge of the semantic web and what's really holding the semantic web back. Unless you provide “real-world” applications (no hand-waving) for people to create Ontologies, they just cannot be bothered to do so. It's that simple.
Bottomline: One doesn't get more chicken-and-egg than this!
“It is unrealistic to believe that any independent body of academics or practitioners could formulate an all-inclusive canon that would stand the test of time. The ontology approach is a throwback to the philosophy of Scholasticism that dominated Western thought during the high middle ages. History has proven that canonical structures, meant to organize and communicate knowledge, often have the unintended outcome of restricting the adoption of further innovations that exist outside the bounds of the canon.”
That is how an MIT Data Center paper (www.mitdatacenter.org) puts it. While this opinion may be the other extreme of the spectrum, I think it sums up how the Walmarts, and the Dells of the world see the semantic web today. This is very unfortunate, because the semantic web badly needs the ballyhooed “killer app”, and the coming “data tsunami” because of RFID systems, sensor networks
etc. would have been a good, good one.
BTW MIT Data Center is an offshoot of the former MIT Auto ID center – the people who came with the EPC standards for RFID etc. So their buy-in would have been a huge boost for the S/web. It now looks they are going their separate ways – in fact they are even proposing a new modeling language called “M” (counterpart of OWL).
If you are interested I recommend reading up on their website – their contrarian viewpoint is fascinating.
From: Sören Auer
Sent: Tuesday, January 18, 2005 9:45 PM
I'm a bit confused since all of you seem to understand Ontologies as a tool for arbitrary knowledge representation. As I mentioned in my last posting I don't think they are prepared to solve this task (especially if based on Description Logic as OWL).
Textual knowledge on websites contains so many vaguenesses, contradictions and exceptions. Humans can cope with them and sometimes it's even easier (for us synapse based reasoners) to get the spirit of an idea if it is described from contradictory viewpoints. But I'm quite sure machines won't be able to do the same at least within next 20 years or so.
Artificial intelligence research developed a variety of theories to make machines more intelligent in the human way. I'm not an expert in default reasoning, nonmonotinicity or horn logic, but my impression is that they are still far from being efficiently applicable. Description Logics and ontologies probably are a bit more mature but still there are many open problems (such as perspective reasoning, linking, merging, reconciliation, versioning). Even if all those problems are solved and if you manage to automatically generate ontologies from textual documents the benefit won't be much better than todays elaborated full-text searches, since DL can't (and is not intended) to cope with vaguenesses, contradictions and exceptions at all. And already one contradiction makes any further DL reasoning more or less senseless.
Already today quite much of the current web content is structured in proprietary database schema, xml-dialects. Here I think is the real impact of a terminological knowledge representation like OWL – defining globally shared, common vocabularies for distributed searching, view generation, querying, syndication of such structured data.
Projects in this context like – OWL-S/WSMO (description for automatic selection/composition of web-services),
– D2RQ (Treating non-RDF Databases as Virtual RDF Graphs)
– future (Semantic) WebApplications (you can have a look at my Powl
project for this – http://powl.sf.net) seem very promising to me.
For applications intended by the W3C you can have a look at the “OWL Web Ontology Language Use Cases and Requirements” document ( http://www.w3.org/TR/webont-req/).
Of course enriching arbitrary web pages with terminological classifications may be an application as well. But I think even this won't be possible automatically in a quality that gives us an real impact. But I'm open to conviction. 😉
From: Alex Abramovich
Sent: Thursday, January 20, 2005 6:10 PM
Yes, textual knowledge vagueness is a stumbling block of SW investigations. But it has an own nature that one can to make clear. What just is vague? A current operational context is uncertain. Nothing shall prevent us from building a library of operational contexts today!
An analysis of a sentence (based on this library) will derives a set of expectations of operational contexts. An analysis of subsequent sentences will confirm one of them.
It seems to me that something similar to this approach suggested Roger Schank (“Conceptual Dependency”).