Hi Eric et al,
I'm glad that umls, topic map, ... were mentioned. We have to do more
than literal translation or linguistics. It's semantics!
Traditional Chinese medicine embodies rich dialectical thought, such as
that of the holistic connections and the unity of yin and yang. It deals
with many facets of human anatomy and physiology: 臟腑 zang-fu (organs),
穴 meridians (main and collateral channels), 氣 qi (vital energy), 血
blood, *靜 *jing (essence of life), body fluid, the inside and outside
of the body, as well as the connections between the whole and the parts.
I wonder if there is a Chinese counterpart of umls that have semantic
correspondence to the English umls. Topic map is also interesting. I
also wonder if there is a direct mapping between topic map and semantic
web (rdf/owl) ....
I agree that we should narrow the scope of our problem a little bit.
Otherwise, things tend to fall apart if we try to be too ambitious. I
hope we can start thinking more about this Huperzine use case, for
example. I also hope such a use case is holistic in the sense that it is
both scientifically and technologically interesting.
Thanks,
-Kei
eric neumann wrote:
Why not simply use to following trick on top of universal symbols?
<umls:male
rdfs:label="male" lang="en"
rdfs:label="Mann" lang="ge"
rdfs:label="mâle" lang="fr"
rdfs:label="男性" lang="zh-Hans"
...
>
Eric
2008/5/28 Jack Park <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>>:
In cross-language data integration, it may be a simple matter of
using a
multitude of language-scoped labels in an ontology. Another approach
that has been mentioned on this list many moons back by the late Bill
Bugg was that of applying topic maps to the federation of
heterogeneous
resources, including disparate ontologies that don't easily merge, and
data sets. Bill was referring to some of my work. Topic maps
provide the
ability to apply as many different names to some entity as
necessary for
all participants to successfully locate what they seek. At the same
time, topic maps can federate each entity with external comments,
dialogues (such as this email message), bookmarks (tags) and
relationships with other entities.
Jack
Xiaoshu Wang wrote:
> Huajun [EMAIL PROTECTED] University wrote:
>> Another challenge is cross-language data integration, which is
actually a
>> job that ontology should do.
>>
> I honestly disagree. Ontology is about the semantics of *being*
but that
> of symbols. It doesn't matter if how "gene" is called, named, or
> written. It symbolize the same objective entities. A URI such as
> http://www.example.com is not written in English. It is just a
bunch of
> symbols. Let's not introduce linguistic issues into data
integration,
> which already have a lot of issues.
>
> Xiaoshu Wang
>> Best wishes, huajun
>>
>> -----邮件原件-----
>> 发件人: [EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>
>> [mailto:[EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>] 代表 Matthias Samwald
>> 发送时间: 2008年5月26日 21:22
>> 收件人: [EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>; Tim Clark
>> 抄送: M. Scott Marshall; public-semweb-lifesci@w3.org
<mailto:public-semweb-lifesci@w3.org>
>> 主题: Re: KB note
>>
>>
>>
>>> Speaking of national boundaries, I wonder if alternative
medicine (e.g.,
>>> herbal
>>> medicine) would also be of interest to this community. For
example,
>>> Huperzine
>>> is a drug derived from the herb Huperzia serrata. I also
wonder if there
>>> are
>>> hypotheses regarding the study of herbs in the possible
treatment of
>>> neurological diseases.
>>>
>> I would also be very motivated to help in this kind of research.
>> Specifically, Huperzine A would be a very interesting use-case
for our
>> developments. It is a herbal compound with a history in folk
medicine and is
>>
>> available OTC in most countries, yet it rivals the effectiveness of
>> currently leading Alzheimer medications such as Tacrine. It
also has a dual
>> mode of action that does not only involve acetylcholinesterase
inhibition,
>> but also modulation of the NMDA receptor. The implications of
this for the
>> treatment of Alzheimer's are still a rather hot topic.
>>
>> The integration of knowledge from traditional medicine, plant
>> taxonomy/phylogeny/biochemistry and receptor binding databases
(PDSP Ki
>> database, IUPHAR) could lead to the identification of some
extremely novel
>> therapeutic strategies. Finding candidate molecules in such a
way might be
>> much more effective than weeding through libraries of compounds
generated by
>>
>> combinatorial synthesis etc. The challenge lies in the
integration of some
>> very heterogenous datasets that come from vastly different
disciplines,
>> which is exactly the field of research where Semantic Web
technologies are
>> most effective.
>>
>> I guess the major problem for this kind of research is that
there are no
>> funding programmes that span China, the US and Asia...
>>
>> Cheers,
>> Matthias Samwald
>>
>> DERI Galway, Ireland // Semantic Web Company, Austria
>> http://www.deri.ie/
>> http://www.semantic-web.at/
>>
>>
>>
>>
>>
>>
