The number of people searching for on-line health information has been steadily growing over the years so it is crucial to understand their specific requirements in order to help them finding easily and quickly the specific in-formation they are looking for. Although generic search engines are typically used by health information seekers as the starting point for searching information, they have been shown to be limited and unsatisfactory because they make generic searches, often overloading the user with the provided amount of results. Moreover, they are not able to provide specific information to different types of users. At the same time, specific search engines mostly work on medical literature and provide extracts from medical journals that are mainly useful for medical researchers and experts but not for non-experts.
A question then arises: Is it possible to facilitate the search of on-line health/medical information based on specific user requirements? In this pa-per, after analysing the main characteristics and requirements of on-line health seeking, we provide a first answer to this question by exploiting the Web structured data for the health domain and presenting a system that allows different types of users, i.e., non-medical experts and medical experts, to retrieve Web pages with language complexity levels suitable to their expertise. Furthermore, we apply our methodology to the results of a generic search engine, such as Google, in order to re-rank them and provide different users with the proper health/medical Web pages in terms of language complexity.
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Patient empowerment; E-Health, Health Information Seeking; User Requirements; Language Complexity; Structured Data on the Web
Ziefle, Martina and Maciaszek, Leszek, (eds.)
Information and Communication Technologies for Ageing Well and e-Health. ICT4AWE 2019. Communications in Computer and Information Science
1219.
Springer. ISBN 978-3-030-52677-1
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 754489, Science Foundation Ireland grant 13/RC/2094 with a co-fund of the European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero - the Irish Software Research Centre
ID Code:
24933
Deposited On:
13 Aug 2020 12:14 by
Marco Alfano
. Last Modified 27 Nov 2020 12:00