At 2:32 PM -0700 5/28/08, Jack Park wrote:
Thanks for the question, Kai.

Topic maps in RDF:
There exists an OWL DL variant of the XML topic maps standard (XTM) [1]
There may be others. Certainly a search on "owl topic map" reveals interest.

I have an OWL Full variant of the TMRM "subject maps" standard, ISO 13250-5. The TMRM (topic maps reference model) departs from the XML topic maps standard (which I helped create) by reducing topic mapping to its core functionality, releasing the standard from XML serialization schemes. We are now back to the frame-based representations many people are familiar with. But, I have yet to find a way to use DL because the properties of each OWL class or instance (we call them "subjects") must also be subjects; the co-reference of a property as a class instance has evaded me: I have yet to make it validate. But, validation as OWL Full flys quite easily. Each property instance is then contained in a p-list rather than thinking in terms of restrictions. Wierd, but it does answer SPARQL queries.

Topic maps do not and should not interfere with the semantic web; they bring other characteristics to knowledge representation and organization that, I think, enhance the semantic web's capabilities. For one thing, they offer two opportunities: they automatically organize all entities of the semantic web in a subject-centric fashion, and, in so doing, they offer the opportunity to federate (a kind of merge) ontologies of all kinds. For instance, it may be that the NCI cancer ontology has a few terms (classes) that are also found (perhaps even under a different name) in, say, a Parkinson's ontology. We can merge all ontologies, no matter the names, so long as we are able to identify that different classes happen to be representing the same subject (entity, concept, whatever you wish to call it), the two entities are merged.

One can do that in OWL also. In fact one can do that in any notation which has (1) globally scoped names, such as URIs, and (2) an equality operator, to assert identity; in OWL, that is owl:sameAs.

BTW, one can also (of course) have multiple names for the same entity, and (in OWL Full) link the various names to such things as email messages, comments, etc..

I don't see what 'extra' topic maps bring as far as all this is concerned. All the actual work is in doing that identification, which is still more an art than a science. Recording it once it is made is easy. In this context, I think your use of the word 'automatically' above may be rather misleading.

Pat

Those that don't merge remain still linked in their graphs. This allows for potential "aha!" moments (some might say "Black Swan Events"), as an emergent behavior. I don't mean to sound like I'm making arm-waving claims; I am merely sketching some possibilities. It's also the case that you don't need topic maps to do that. Topic maps represent, more than anything, a slightly different way to think about the problem space.

Cheers,
Jack
[1] http://xml.coverpages.org/CreganTMs-OWL200505.pdf

Kei Cheung wrote:
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: ”f”D zang-fu (organs), åä meridians (main and collateral channels), üÜ qi (vital energy), åå blood, *ˑ *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="íjê´" 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
    >>
    >> -----" åèå¥åè-----
    >> …¢åèêl: [EMAIL PROTECTED]
    <mailto:[EMAIL PROTECTED]>
    >> [mailto:[EMAIL PROTECTED]
    <mailto:[EMAIL PROTECTED]>] ë“ï\ Matthias Samwald
    >> …¢ëó ±º”: 2008îN5åé26ì™ 21:22
    >> ùæåèêl: [EMAIL PROTECTED]
    <mailto:[EMAIL PROTECTED]>; Tim Clark
    >> è¥ëó: M. Scott Marshall; public-semweb-lifesci@w3.org
    <mailto:public-semweb-lifesci@w3.org>
    >> éÂÒ: 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/
    >>
    >>
    >>
    >>
    >>
    >>


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