Featured

MedIEQ News

The final evaluation of the MedIEQ system (AQUA) was completed. The main objective of this evaluation was the comparison of the required time and effort needed when working with and without the use of AQUA. The evaluation proved that the labelling process of health related web resources is highly complex and difficult. In summary, the results of the evaluation showed that the final version of AQUA is a functional prototype that has the potential to be fully integrated within the day-to-day activities of a labelling organization.

MedIEQ was presented at the World of Health IT 08 Conference & Exhibition, in Copenhagen, Denmark. MedIEQ’s approach was presented and discussed during the session “Trust Model for Health Websites” (like http://lastlongerinbedhelp.com) on Wednesday, 5 November 2008.

MedIEQ coordinates a Special Issue of the Health Informatics Journal on Semantic Descriptions of Medical Web Resources: Technologies to support their Creation, Maintenance and Access (tentative publication date: Autumn, 2009).

>> See the call for papers (submission closed)
Iatrolexi project offered a Greek version of MeSH thesaurus to MedIEQ for research purposes (June 2008).
The 1st International Workshop on Describing Medical Web Resources (DRMed 2008) was held in conjunction with the 21st International Congress of the European Federation for Medical Informatics (MIE 2008), May 27, 2008, Göteborg, Sweden. The DRMed workshop at MIE 2008 was supported by the EC-funded project MedIEQ …

Services & Tools

MedIEQ is a technology project aiming to promote the use of machine readable labels, where different vocabularies can be used, as well as the use of technology to support the work of labelling experts in labelling new content and monitoring the already labelled one.

MedIEQ Services

Service Description Type
Use the MedIEQ Labeling Criteria to certify the quality of Medical Web Resources Vocabulary
Identify Unlabeled Web Resources having health-related content Web Tool
Visit and review of identified Unlabeled Web Resources Web Tool
Generate RDF Content Labels for the reviewed Web Resources Web Tool
Monitor Labeled Web Resources Web Tool
Extend MedIEQ Tools to support a new Language, Labeling Criteria and/or Labeling Authorities Guidelines

MedIEQ Tools

The Assisting Quality Assessment (AQUA) system

By analyzing the two main approaches of medical quality labeling (filtering portals and third party accreditation), we have identified the following key tasks, followed entirely or partially by most labeling agencies:

  1. Identification of new web resources: this could happen either by active web searching or by voluntary application from the information provider.
  2. Labeling of the web resources: this could be done with the purpose of awarding an accreditation seal or in order to classify and index the web resources in a filtering portal.
  3. Re-reviewing or monitoring the labeled web resources: this step is necessary to identify changes or updates in the resources as well as broken links and to verify if a resource still deserves to be awarded an accreditation seal.
As a result, the AQUA system was designed to support the main tasks of the web content accreditation process, that is:

  • Identification of unlabeled resources having health-related content
  • Visit and review of the identified resources
  • Generation of content labels for the reviewed resources
  • Monitoring the labeled resources
AQUA incorporates several subsystems and functionalities for the labeling expert, as presented in the above figure:
  • The Web Content Collection (WCC) component identifies, classifies and collects online content relative to the labeling criteria
  • The Information Extraction Toolkit (IET) analyses the web content collected by WCC and extracts attributes for the content labels
  • The Label Management (LAM) component generates, validates, modifies and compares the content labels
  • The Multilingual Resources Management (MRM) subsystem gives access to health-related multilingual resources
  • The Monitor-Update-Alert (MUA) tool handles the configuration of monitoring tasks, database updates, and alerts to labeling experts
AQUA currently supports eight European languages (English, Spanish, German, Finnish, Czech, Greek, Catalan and Swedish), as well as, the full set of MedIEQ Labeling Criteria .

Scientific Publications

No Scientific Journal Papers / Book Chapters
1 V. Karkaletsis, Stamatakis, K., Karampiperis, P., Labský, M., Ruzicka , M., Svátek, V., Cabrera, E. A., Pöllä, M., Mayer, M. A., Villaroel Gonzales, D., “Management of Medical Website Quality Labels via Web Mining”. Following a call for chapters it was accepted to be included in “Data Mining and Medical Knowledge Management: Cases and Applications”, P. Berka, J. Rauch, D. Abdelkader Zighed (eds), IGI Global Inc., February 2009, ISBN 978-1-60566-218-3.
2 D. Vilarroel, M.A. Mayer, A. Leis, V. Karkaletsis, K. Stamatakis, V. Metsis, P. Nasikas, M. Labsky, M. Ruzicka, V. Svátek, F. López-Ostenero, V. Peinado, E.A. Cabrera, T. Honkela, M. Pöllä. “AQUA (Assisting Quality Assessment): a system based on Semantic web and information extraction technologies to support medical quality labelling agencies.” Technol Health Care, 2007, vol. 15(5), pp.368-69.
3 M.A. Mayer, V. Karkaletsis, K. Stamatakis, A. Leis, D. Villarroel, C. Thomeczek. “MedIEQ – Quality Labelling of Medical Web Content Using Multilingual Information Extraction.” Stud Health Technol Inform, 2006, vol.121, pp. 183-190.
No International Conference Papers
1 Karkaletsis V., Karampiperis P., Stamatakis K., Labský M., Ruzicka M., Svátek V., Mayer M.A., Leis A., Villarroel D., “Automating Accreditation of Medical Web Content”. Proceedings of the 18th European Conference on Artificial Intelligence (ECAI 2008), 5th Prestigious Applications of Intelligent Systems (PAIS 2008), pp. 688-692, Patras, Greece, July 21-25, 2008.
2 Labsky M., Svatek V., Combining Multiple Sources of Evidence in Web Information Extraction. In: Proc. ISMIS 2008, Toronto, May 2008. Springer LNAI 4994, pp 471-476.
3 Labsky M., Svatek V., Nekvasil M., Rak D.: The Ex Project: Web Information Extraction using Extraction Ontologies. In: Proc. PriCKL’07, ECML/PKDD Workshop on Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery. Warsaw, Poland, October 2007.
4 D.V. Gonzales, M.A. Mayer, A. Leis, V. Karkaletsis, K. Stamatakis, V. Metsis, P. Nasikas, M. Labský, M. Ruzicka, V. Svátek, F. López-Ostenero, V. Peinado, E.A. Cabrera, T. Honkela, M. Pöllä. “AQUA (Assisting Quality Assessment): a system based on Semantic web and information extraction technologies to support medical quality labelling agencies”, Proceedings of the 12th World Congress on the Internet in Medicine (Mednet 2007), Leipzig , Germany , October 7-10, 2007.
5 K. Stamatakis, K. Chandrinos, V. Karkaletsis, M.A. Mayer, D.V. Gonzales, M. Labsky, E. Amigó, and M. Pöllä,”AQUA, a system assisting labelling experts assess health web resources”. Proceedings of 12th International Symposium for Health Information Management Research (iSHIMR 2007), p. 75-84, Sheffield, UK, 18-20 July, 2007.
6 K. Stamatakis, V. Metsis, V. Karkaletsis, M. Ruzicka, V. Svátek, V. E.A. Cabrera, and M. Pöllä, “Content collection for the labeling of health-related web content”. Proceedings of the 11th Conference on Artificial Intelligence in Medicine (AIME 07), LNAI 4594, pp. 341-345, 2007. Amsterdam, 7-11 July, 2007.
7 Mayer MA, Leis A. “Los metadatos y la Web Semántica al servicio de los usuarios de salud (Metadata and Semantic Web working for health consumers)”. In: Proceedings of Mundo Internet 2007. XI Congreso Nacional de Internet, Telecomunicaciones y Movilidad. Ed. Asociación de Usuarios de Internet, Madrid 2007: 39-46. In Spanish.
8 J. Kosek, P. Nalevka, “Relaxed—on the Way Towards True Validation of Compound Documents”, Proceedings of 15th International World Wide Web Conference (WWW’2006), 23-26 May 2006, Edinburgh, Scotland. In Czech.
9 V. Karkaletsis, K. Stamatakis, V. Metsis, V. Redoumi, D. Tsarouhas, “Health-related Web Content: quality labelling mechanisms and the MedIEQ approach”, Proceedings of the 4th International Conference on Information Communication Technologies in Health (ICICTH-2006), July 13-15, 2006, Samos Island, Greece (http://www.ineag.gr/ICICTH/index.html).
10 J. Kosek, M. Labsky, J. Nemrava, M. Ruzicka, V. Svatek, “The MedIEQ project: evaluation of medical web resources with the help of information extraction”, Datakon, the Annual Database Conference, October 2006, Brno, Czech Republic.
11 Mayer MA, Leis A, Ruiz P, Karkaletsis V, Stamatakis K. “MedIEQ: metadatos y sistemas de extracción semántica de información sanitaria en Internet y su aplicación en estrategias de calidad. Herramienta para la mejora de la calidad asistencial”, In: Proceedings of the XI Congreso Nacional de Informática Médica, Informed 2006, Murcia: 67-72. In Spanish.
12 Mayer MA, Leis A, Karkaletsis V, Vilarroel D. “El proyecto europeo MedIEQ (Quality Labelling of Medical Web content using Multilingual Information Extraction): la Web Semántica al servicio de los usuarios de salud”. In: Proceedings of the VIII Jornadas de Gestión de la Información. Asociación Española de Documentación Científica (SEDIC), Madrid: 43-51. In Spanish.
No Invited Speeches / Lectures
1 V. Karkaletsis (NCSR), Invited talk for MedIEQ technology at the World of Health IT 08 Conference & Exhibition in Copenhagen, Denmark. MedIEQ’s approach was presented and discussed during the session “Trust Model for Health Websites” on Wednesday, 5 November 2008.
2 MA Mayer (WMA), invited speaker on the Public Health International Seminar of the EU project Drojnet, Session “Quality initiatives and Web technologies in the user service” June 26, Logroño, La Rioja, Spain 2008.
3 V. Karkaletsis (NCSR), Invited talk for MedIEQ technology at the Workshop “Language Technology in Biomedicine”, organized by the Greek R&D project IATROLEXI, December 10, 2007, Athens, Greece
4 MA Mayer (WMA). Els continguts de Salut a Internet. Cursos d’estiu “Els Juliols 2007”: Internet i seguretat. Universitat de Barcelona, Barcelona 2-6 July, 2007
5 MA Mayer (WMA), A. Leis (WMA). Los metadatos y la Web Semántica al servicio de los usuarios de salud (Metadata and Semantic Web working for health consumers). XI National Internet and Information Society Conference, Málaga 14 – 16 May, 2007.
6 K. Chandrinos (I-sieve), Presentation of AQUA at the industry stakeholder meeting organised by the W3C working group “Protocol for Web Description Resources (POWDER)”, July 11, 2007, Washington DC
7 MA Mayer (WMA), Invited lecture in the Workshop “Advances and Innovations in information searching and retrieval”, in the Health Techonology Assessment International (HTAi) Conference in Barcelona, Spain. June 17-20, 2007
8 V. Karkaletsis (NCSR), invited speaker on the Public Health Programme at the eHealth 2006 High Level Conference, Session “Global trends and perspectives”, 12 May, Malaga, Spain, 2006 (http://www.ehealthconference2006.org/)
9 V. Karkaletsis (NCSR), invited talk of on “Quality Labeling of Web Content” at the 3rd IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI 2006), 9 June, Athens, Greece (http://www.icsd.aegean.gr/aiai2006/)
10 V. Karkaletsis(NCSR), presentation of the MedIEQ project (“Quality Labelling of Health related Web Content: the MedIEQ project”) at the Joint Meeting of the DG SANCO Health Systems Working Party and DG INFSO eHealth Working Group, 22 June, Luxembourg
11 T. Honkela (TKK), M. Pölla(TKK). Scandinavian Conferece on Artificial Intelligence (SCAI 2006), 25-27 October, Helsinki, Finland.
12 T. Honkela (TKK), M. Pölla (TKK). Finish Artificial Intelligence Conference, 25-27 October,Helsinki, Finland.
13 MA. Mayer, invited talk at the Workshop “La acreditación de calidad de los sitios web de salud” at the Autonoma University of Barcelona. InCom-UAB. Barcelona, Spain, 9 October 2006

Project Public Results

No Result Type Target Group
D1 Consortium Agreement Report Consortium Partners,
DG Sanco
D2 Detailed Work Plan Report Consortium Partners,
DG Sanco
D3.1 1st year Project report Report Consortium Partners,
DG Sanco
D3.2 2nd year Project report Report Consortium Partners,
DG Sanco
D3.3 Final Project report Report Consortium Partners,
DG Sanco
D4.1 1st version of RDF schema for medical labels Report Labeling Authorities
D4.2 Final version of RDF schema for medical labels Report Labeling Authorities
D5 Methodology and tools for exploiting the RDF schema Report Semantic Web Developers
D6 Methodology and architecture for content collection Report Semantic Web Developers
D7.1 1st version of content collection toolkit Prototype Consortium Partners,
DG Sanco
D7.2 Final version of content collection toolkit Prototype Consortium Partners,
DG Sanco
D8 Methodology and architecture for information extraction Report Semantic Web Developers
D9.1 1st version of information extraction toolkit Prototype Consortium Partners,
DG Sanco
D9.2 Final version of information extraction toolkit Prototype Consortium Partners,
DG Sanco
D10 Methodology for multilingual resources management Report Semantic Web Developers
D11.1 1st version of resources management toolkit Prototype Consortium Partners,
DG Sanco
D11.2 Final version of resources management toolkit Prototype Consortium Partners,
DG Sanco
D12 Specification of the Architecture Report Semantic Web Developers
D13 1st Integrated Prototype Prototype Consortium Partners,
DG Sanco
D14 Final Integrated Prototype Prototype Consortium Partners,
DG Sanco
D15 Evaluation strategy Report Labeling Authorities
D16.1 Evaluation of the 1st Prototype Report Labeling Authorities
D16.2 Evaluation of the Final Prototype Report Labeling Authorities
D17 Dissemination and Exploitation strategy Report Consortium Partners,
The Public
D18 Dissemination Workshop – Info Day Report Labeling Authorities,
The Public
D19 Exploitation Plan Prototype Consortium Partners,
DG Sanco