- From: Bradley Allen <bradley.p.allen@gmail.com>
- Date: Thu, 13 Oct 2011 17:19:06 -0700
- To: Ian Hickson <ian@hixie.ch>
- Cc: Stéphane Corlosquet <scorlosquet@gmail.com>, public-html-data-tf@w3.org
Hixie- OK, trying this again... Allow me to try and describe a real, existing use case. There are a number of ongoing efforts to support the annotation of a scientific article together with the ability to specify the rhetorical structure of a given article. The purpose is to support the evaluation of a given scientific work to determine whether or not it is supported by the evidence, and is consistent with related work in the field. As a specific example of the motivation for this, consider the following passage from http://www.w3.org/TR/2009/NOTE-hcls-swan-20091020/: "Developing cures for highly complex diseases, such as neurodegenerative disorders, requires extensive interdisciplinary collaboration and exchange of biomedical information in context. Our ability to exchange such information across sub-specialties today is limited by the current scientific knowledge ecosystem’s inability to properly contextualize and integrate data and discourse in machine-interpretable form. This inherently limits the productivity of research and the progress toward cures for devastating diseases such as Alzheimer’s and Parkinson’s." Vocabularies have been defined to this purpose, and they are gaining acceptance within the community of workers in the bioinformatics domain as legitimate ways to express sharable metadata about scientific publications and statements made within them. Two such vocabularies are SWAN and AO. SWAN provides a vocabulary for describing scientific hypotheses; AO provides a vocabulary for annotation of scholarly documents. They are distinct vocabularies, developed for distinct purposes. Due to their highly technical nature, they are unlikely to be specializations of any meaningful class within schema.org. Furthermore, tools and workflows have been created to produce and consume content marked up with these vocabularies, to provide support for peer review and collaborative research, for example in the context of communities like the Alzheimer Research Forum (http://www.alzforum.org). As a publisher of scientific content, IMO HTML5 with microdata would be a valuable delivery format for scholarly content marked up with such structured data. What I would like to do, in that case, is be able to express the following as something that subject matter expert could insert into a article about Alzheimer's Disease:: <p itemscope itemtype="http://purl.org/ao/core/Annotation http://swan.mindinformatics.org/ontologies/1.2/discourse-elements/ResearchStatement"> Testosterone may play an important role in the prevention of Alzheimer's Disease (AD) in men. </p> (Apologies to you and the ontology authors if I am mangling the microdata syntax for multiple itemtypes and/or the use of the vocabularies; but I'm sure you see what I'm trying to say here.) The content of the <p> tag is both a ResearchStatement and an Annotation. I am using emerging standard vocabularies that have been developed for separate purposes in a succinct, clear manner. IMO, that is the way in which most of the people at the workshop would have assumed that support for multiple itemtypes would work. Duplicating the statement in the manner you suggest above would give my editors fits. One could, I suppose, simply extend Thing to get them into the same vocabulary, as in: http://schema.org/Thing/Annotation http://schema.org/Thing/ResearchStatement But none of the tooling built to date would be prepared to consume those classes without having to be changed to map the newly minted schema.org classes to their equivalents in SWAN and AO. Thoughts? Bradley P. Allen http://bradleypallen.org
Received on Friday, 14 October 2011 00:19:45 UTC