MedIEQ-Quality labelling of medical web content using multilingual information extraction.

Quality of Internet health information is essential because it has the potential to benefit or harm a large number of people and it is therefore essential to provide consumers with some tools to aid them in assessing the nature of the information they are accessing and how they should use it without jeopardizing their relationship with their doctor. Organizations around the world are working on establishing standards of quality in the accreditation of health-related web content. For the full success of these initiatives, they must be equipped with technologies that enable the automation of the rating process and allow the continuous monitoring of labelled web sites alerting the labelling agency. In this paper we describe the European project MedIEQ (Quality Labelling of Medical Web Content Using Multilingual Information Extraction) that integrates the efforts of relevant organizations on medical quality labelling, multilingual information retrieval and extraction and semantic resources, from six different European countries (Spain, Germany, Greece, Finland, Czech Republic and Switzerland). The main objectives of MedIEQ are: first, to develop a scheme for the quality labelling of medical web content and provide the tools supporting the creation, maintenance and access of labelling data according to this scheme and second, to specify a methodology for the content analysis of medical web sites according to the MedIEQ scheme and develop the tools that will implement it.

[1]  J. Curran,et al.  Domain-specific Web site identification: the CROSSMARC focused Web crawler , 2003 .

[2]  M. Winker,et al.  Guidelines for medical and health information sites on the internet: principles governing AMA web sites. American Medical Association. , 2000, JAMA.

[3]  Lina Fatima Soualmia,et al.  Modelisation of Consumer Health Information in a Quality-Controlled Gateway , 2003, MIE.

[4]  Dan Brickley,et al.  A metadata vocabulary for self- and third-party labeling of health web-sites: Health Information Disclosure, Description and Evaluation Language (HIDDEL) , 2001, AMIA.

[5]  Ahmad Risk,et al.  Review Of Internet Health Information Quality Initiatives , 2001, Journal of medical Internet research.

[6]  Alessandro D'Atri,et al.  A quality evaluation methodology of health web-pages for non-professionals , 2004, Medical informatics and the Internet in medicine.

[7]  Petra Wilson,et al.  How to find the good and avoid the bad or ugly: a short guide to tools for rating quality of health information on the internet. , 2002, BMJ : British Medical Journal.

[8]  Angela Leis,et al.  Web Médica Acreditada Guidelines: Reliability and Quality of Health Information on Spanish-Language Websites , 2005 .

[9]  James A. Hendler,et al.  The Semantic Web" in Scientific American , 2001 .

[10]  Phil Archer.  Quatro - a metadata platform for trustmarks , 2005, Dublin Core Conference.

[11]  Gunther Eysenbach,et al.  Consumer health informatics , 2000, BMJ : British Medical Journal.

[12]  Vangelis Karkaletsis,et al.  Quality labelling of medical web content , 2006, Health Informatics J..

[13]  Stéfan Jacques Darmoni,et al.  Scientific papers: MedCIRCLE - the collaboration for internet rating, certification, labelling, and evaluation of health information , 2002 .

[14]  Joseph A. Diaz,et al.  Patients’ use of the internet for medical information , 2002, Journal of General Internal Medicine.

[15]  Gunther Eysenbach,et al.  The Semantic Web and healthcare consumers: a new challenge and opportunity on the horizon? , 2003 .

[16]  Thomas Krichel.  The Semantic Web and an Introduction to RDF , 2002 .

[17]  Dan Brickley,et al.  A Framework for Improving the Quality of Health Information on the World-Wide-Web and Bettering Public (E-)Health: The Medcertain Approach , 2001, MedInfo.