Search of “right” health information by patients/citizens is an
important step towards their empowerment. The number of health
information seekers on the Internet is steadily increasing over the
years so it is crucial to understand their information needs and the
challenges they face during the search process. However, generic
search engines do not make any distinction among the users and
overload them with the amount of information. Moreover, specific
search engines/sites mostly work on medical literature and are
built by hand. This paper analyses the possibility of providing the
user with tailored web information by exploiting the web semantic
capabilities and, in particular, those of schema.org and its healthlifesci
extension. After presenting a short review of the main user
requirements when searching for health information on the
Internet, an analysis of schema.org and its health-lifesci extension
is shown to understand the main properties and semantic
capabilities in the health/medical domain. Finally, an initial
mapping among user requirements and schema.org elements is
presented in order to provide expert and non-expert user
categories with web pages that satisfy their specific requirements.
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Patient Empowerment; Health Information Seeking; User
Requirements; Structured Data on the Web; schema.org
Vassilev, Tzvetomir and Smrikarov, Angel, (eds.)
Proceedings of the 20th International Conference on Computer Systems and Technologies.
.
Association for Computing Machinery (ACM). ISBN 978-1-4503-7149- 0
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:
23514
Deposited On:
01 Jul 2019 11:45 by
Marco Alfano
. Last Modified 17 Dec 2019 11:55