- From: Kashyap, Vipul <VKASHYAP1@PARTNERS.ORG>
- Date: Mon, 21 Jul 2008 17:08:18 -0400
- To: "Kashyap, Vipul" <VKASHYAP1@PARTNERS.ORG>, <dan.russler@oracle.com>
- Cc: "Samson Tu" <swt@stanford.edu>, "Elkin, Peter L., M.D." <Elkin.Peter@mayo.edu>, <public-semweb-lifesci@w3.org>, <public-hcls-coi@w3.org>
- Message-ID: <DBA3C02EAD0DC14BBB667C345EE2D12402E8C77D@PHSXMB20.partners.org>
There's a slight error in the UML diagram included in the previous e-mail. A revised UML diagram is attached with this e-mail. Thanks, ---Vipul ________________________________ From: public-hcls-coi-request@w3.org [mailto:public-hcls-coi-request@w3.org] On Behalf Of Kashyap, Vipul Sent: Monday, July 21, 2008 5:02 PM To: dan.russler@oracle.com Cc: Samson Tu; Elkin, Peter L., M.D.; public-semweb-lifesci@w3.org; public-hcls-coi@w3.org Subject: RE: Multi-layered Knowledge Representations for Healthcare (was RE: An argument for bridging information models and ontologies at the syntactic level) Dan, Looks like there is increasing convergence in our view points and some minor divergences. <dan> I'm confused...can you illustrate in UML, perhaps with the blood pressure example? /> [VK] The UML Diagram illustrating WBC is attached with this e-mail (GIF format). Look forward to your thoughts on this issue. <dan> depends what one means when one says they "create" an ontology. An ontology is just another name for a belief system. When one writes down one's beliefs, one is not really creating an ontology. /> [VK] Well, that could be part of the confusion. Another viewpoint is that an ontology is a knowledge artifact that has a broad consensus on what it means. <dan> looks like the antecedent to my statement "In small domains..." is lost somewhere above. In any case, in small domains, one can easily get a picture of all the classes on a small diagram that is easy for people to look at together. In large domains, the multitude of classes makes the diagram huge and makes it difficult to express the essentials on one computer screen or piece of paper (too many trees to see the forest). The HL7 UML model of the RIM that makes mood and class code attributes is simply a pictorial approach that assists discussion in many venues, i.e. one doesn't need a huge piece of paper on the wall! Again, not to get hung up in pictures of concepts. Focus on the concepts. /> [VK] Yes, the requirement to make a model compact shouldn't negatively impact the understandability of the model. Mood and type codes can be very tricky to understand. Also these are some sort of attributes at layer 1 as opposed to Layer 2. In some cases, the model may be more understandable in one explicitly represents subclasses based on these codes. [VK] OK, then what you are suggesting is that a template is logically equivalent to a set of constraints on the information model. Would be interested in representing these conformance statements as a set of OWL axioms <dan> I agree...Adding an OWL version of these conformance statements would be a great next step. /> I hope this long-winded description helps in this "multi-layered Knowledge Representation" discussion. How one classifies the concept of "context" for a given concept, or the concept of "conformance testing the constraints on an aggregation of structure and vocabulary" in a multi-layer Knowledge Representation is not clear to me. <dan> There are many kinds of "conformance." One basic example is testing the contents of a data entry field before committing the contents to the database to make sure the contents have the right kinds of characters, e.g. numeric, alphabetic, etc. [VK] This is basically syntax checking which checks for the format in which data is represented and is not an information modeling or semantics issue. Schematron testing in CDA tests the conformance of the XML structure and the codes and other values within the XML structure (think terminology) to make sure the wrong codes aren't used in a specific XML structure. [VK] XMl structure testing can be tricky because the healthcare IT community has used XML Schema to represent information models. XML Schema is a language designed to describe the format and structure of XML documents in contrast with languages such as RDF, OWL and UML which seek to describe the semantics underlying these documents. So "checking for conformance of XML Structure" could either (A) check for the validitiy of the structure of the XML Document or for (B) validity of the information model (R-MIM) underlying the XML document. What would be relevant is (B) and we could try to use OWL axioms to describe the type of conformance statements represented by (B) Finally matching terminologies is a semantics issues and OWL/Description Logics have been used to represent Snomed and terminology matchin can be expressed in terms of OWL subsumptions. <dan> Again...agreed...OWL is a natural tool for this task /> I'm sure that a broader definition of conformance can be created that includes things as basic as character validation and as complex as information model/vocabulary model validation. /> [VK] What can easily be implemted using OWL is information model/vocabulary validation In Summary, we could propose the following Task Force which looks at the following aspects as a part of HCLSIG: (A) Determine the feasibility of OWL as a common representational formalism for healthcare delivery information models and terminologies (B) Define and implement the notion of "Semantic Conformance" of an information model to HL7/RIM + Terminologies (may require a restructuring of the RIM to some extent) Let me know what your thoughts are on this and we can figure out the next steps. Cheers, ---Vipul The information transmitted in this electronic communication is intended only for the person or entity to whom it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. If you received this information in error, please contact the Compliance HelpLine at 800-856-1983 and properly dispose of this information.
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Received on Monday, 21 July 2008 21:09:00 UTC