KWTR: ehealth
From semanticweb.org
[edit] Contributors:
Vit Novacek DERI Galway
- What is the state of the art of Semantic Web in your research field?
- application of the Semantic Web technologies is possible mainly in the (1) electronic medical records, (2) evidence-based medicine and (3) health knowledge management dimensions of the e-health common definition (source: Wikipedia)
- main benefits of semantics-enabled solutions in the context of e-health are:
- facilitation of medical data integration by processing not only the data itself, but also taking its meaning into account
- support for not only quantitaive (e.g. statistic), but also symbolic (e.g. logical) querying of the medical data repositories by means of automatic inference in the respective ontologies
- facilitation of medical knowledge management by implementation of the Semantic Web semi-automatic techniques of dynamic ontology acquisition, maintenance and exploitation
- Provide references and short abstracts of three papers you consider as significant in your research field.
- Robert Stevens, Carole A. Goble, Ian Horrocks, Sean Bechhofer. OILing the way to machine understandable bioinformatics resources. IEEE Transactions on Information Technology in Biomedicine 6(2): 129-134 (2002) PDF
- A. Rector, R. Qamar and T. Marley. Binding Ontologies and Coding systems to Electronic Health Records and Messages. KR-MED 2006, Biomedical Ontology in Action. 2006, Baltimore, Maryland, USA. PDF
- Baker, Christopher J.O. and Cheung, Kei-Hoi (Eds.). Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences. Springer, 2007. link
- Please provide one or more examples (either business, or research, or both) in which semantic web has been used (if you can, add some references).
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- Are there existing tools or demos? Please indicate some of them.
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- What are the open problems in your Semantic Web research field? Why?
- efficient (semi-automatic) binding of the traditional medical data resources (e.g. natural language records or database repositories) and the respective machine readable ontologies (for instance by means of NLP and/or data mining/knowledge discovery in databases)
- integration and possible refinement of loosely designed and structured machine readable resources (either database records or already existing semantics-enabled, but not very well maintained vocabularies, such as GO)
- dynamic extension, population and meaningful exploitation of the e-health ontologies
- scalability issues (mainly concerning reasoning)
- Provide references and links of the most relevant Semantic Web research projects in your field.
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- What challenges try these projects to overcome?
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- What are their foreseen benefits (both in market and scientific community)?
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- When, in your opinion, will projects’ results be ready for industry?
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- Do you think that it is important to invest (money and time) in these topics? Why?
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- What are, in your opinion, the most relevant Semantic Web challenges that will be solved in the long term (10 years)? Why?
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