Skip to main content

AudreyHo 's Library tagged grddl   View Popular

08 Nov 06

GRDDL Use Cases: Scenarios of extracting RDF data from XML documents

  • Kayode realizes a GRDDL approach alleviates this expense by allowing
    a computer-based patient record or any XML-based collection of clinical
    research data to be queried semantically by associating a GRDDL profile to
    the specific XML vocabulary.
  • Use case #2: Health Care: Querying an XML-based clinical
    data using an standard ontology
  • 1 more annotations...

GRDDL Primer

  • The profile URI for GRDDL is http://www.w3.org/2003/g/data-view
    and by including this URI in her document Robin is declaring that the
    metadata in her markup can be interpreted using GRDDL.
  • The simplest method for authors of HTML content is to embed a
    reference to the transformations using a link element in the head of the
    document.
06 Nov 06

A Comprehensive Representation Methodology for Computer-based Patient Records

  • "Foundational content modeling" such as dolce?; aligning separate interpretations of terms?? GRDDL: auto extraction of RDF from xml - allows representation of data in both rdf and xml. CB Patient Record -- still no uniform definition of what this is. "Rich web backplane"; describes CPR functional reqs: simul existence of objects in xml and rdf, open vocab stndds, scalable system performance (rdf-dbms), linkages to related terminologies and literature, reasoning (dL) and decision support, re-use, export of RDF data into third-party apps, security (privacy for patient records) and trust systems, separation of content, presentation and interpretation (GRDDL), user accessibility. Patient data as FOAF??? Problem Oriented Patient Records (POPR). xml vocabularies --> write transforms to extract the RDF. Wouldn't it be better to express content in RDF directly? HL7 deals with exchange of data and document markup, hence XML as the choice of transport. - audreyh on 2006-11-06
1 - 3 of 3
Showing 20 items per page

Highlighter, Sticky notes, Tagging, Groups and Network: integrated suite dramatically boosting research productivity. Learn more »

Join Diigo