Management of Medical Website Quality Labels via Web Mining

Management of Medical Website Quality Labels via Web Mining

Vangelis Karkaletsis (National Center of Scientific Research “Demokritos”, Greece), Konstantinos Stamatakis (National Center of Scientific Research “Demokritos”, Greece), Karampiperis (National Center of Scientific Research “Demokritos”, Greece), Karampiperis (National Center of Scientific Research “Demokritos”, Greece), Pythagoras Karampiperis (National Center of Scientific Research “Demokritos”, Greece) and Pythagoras Karampiperis (National Center of Scientific Research “Demokritos”, Greece)
DOI: 10.4018/978-1-60566-218-3.ch010
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The World Wide Web is an important channel of information exchange in many domains, including the medical one. The ever increasing amount of freely available healthcare-related information generates, on the one hand, excellent conditions for self-education of patients as well as physicians, but on the other hand, entails substantial risks if such information is trusted irrespective of low competence or even bad intentions of its authors. This is why medical Web site certification, also called quality labeling, by renowned authorities is of high importance. In this respect, it recently became obvious that the labelling process could benefit from employment of Web mining and information extraction techniques, in combination with flexible methods of Web-based information management developed within the Semantic Web initiative. Achieving such synergy is the central issue in the MedIEQ project. The AQUA (Assisting Quality Assessment) system, developed within the MedIEQ project, aims to provide the infrastructure and the means to organize and support various aspects of the daily work of labelling experts.
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The number of health information websites and online services is increasing day by day. It is known that the quality of these websites is very variable and difficult to assess; we can find websites published by government institutions, consumer and scientific organizations, patients associations, personal sites, health provider institutions, commercial sites, etc. (Mayer, 2005). On the other hand, patients continue to find new ways of reaching health information and more than four out of ten health information seekers say the material they find affects their decisions about their health (Eysenbach, 2000; Diaz, 2002). However, it is difficult for health information consumers, such as the patients and the general public, to assess by themselves the quality of the information because they are not always familiar with the medical domains and vocabularies (Soualmia, 2003).

Although there are divergent opinions about the need for certification of health websites and adoption by Internet users (HON, 2005), different organizations around the world are working on establishing standards of quality in the certification of health-related web content (Winker, 2000; Kohler, 2002; Curro, 2004; Mayer, 2005). The European Council supported an initiative within eEurope 2002 to develop a core set of “Quality Criteria for Health Related Websites” (EC, 2002). The specific aim was to specify a commonly agreed set of simple quality criteria on which Member States, as well as public and private bodies, may build upon for developing mechanisms to help improving the quality of the content provided by health-related websites. These criteria should be applied in addition to relevant Community law. As a result, a core set of quality criteria was established. These criteria may be used as a basis in the development of user guides, voluntary codes of conduct, trust marks, certification systems, or any other initiative adopted by relevant parties, at European, national, regional or organizational level.

This stress on content quality evaluation contrasts with the fact that most of the current Web is still based on HTML, which only specifies how to layout the content of a web page addressing human readers. HTML as such cannot be exploited efficiently by information retrieval techniques in order to provide visitors with additional information on the websites’ content. This “current web” must evolve in the next years, from a repository of human-understandable information, to a global knowledge repository, where information should be machine-readable and processable, enabling the use of advanced knowledge management technologies (Eysenbach, 2003). This change is based on the exploitation of semantic web technologies. The Semantic Web is “an extension of the current web in which information is given a well-defined meaning, better enabling computers and people to work in cooperation” based on metadata (i.e. semantic annotations of the web content) (Berners-Lee, 2001). These metadata can be expressed in different ways using the Resource Description Framework (RDF) language. RDF is the key technology behind the Semantic Web, providing a means of expressing data on the web in a structured way that can be processed by machines.

In order for the medical quality labelling mechanisms to be successful, they must be equipped with semantic web technologies that enable the creation of machine-processable labels as well as the automation of the labelling process. Among the key ingredients for the latter are web crawling techniques that allow for retrieval of new unlabelled web resources, or web spidering and extraction techniques that facilitate the characterization of retrieved resources and the continuous monitoring of labeled resources alerting the labelling agency in case some changes occur against the labelling criteria.

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