A user-centred evaluation framework for the Sealife semantic web browsers

Background: Semantically-enriched browsing has enhanced the browsing experience by providing contextualised dynamically generated Web content, and quicker access to searched-for information. However, adoption of Semantic Web technologies is limited and user perception from the non-IT domain sceptical. Furthermore, little attention has been given to evaluating semantic browsers with real users to demonstrate the enhancements and obtain valuable feedback. The Sealife project investigates semantic browsing and its application to the life science domain. Sealife's main objective is to develop the notion of context-based information integration by extending three existing Semantic Web browsers (SWBs) to link the existing Web to the eScience infrastructure. / Methods: This paper describes a user-centred evaluation framework that was developed to evaluate the Sealife SWBs that elicited feedback on users' perceptions on ease of use and information findability. Three sources of data: i) web server logs; ii) user questionnaires; and iii) semi-structured interviews were analysed and comparisons made between each browser and a control system. / Results: It was found that the evaluation framework used successfully elicited users' perceptions of the three distinct SWBs. The results indicate that the browser with the most mature and polished interface was rated higher for usability, and semantic links were used by the users of all three browsers. / Conclusion: Confirmation or contradiction of our original hypotheses with relation to SWBs is detailed along with observations of implementation issues

Forecasting Dengue, Chikungunya and Zika cases in Recife, Brazil: a spatio-temporal approach based on climate conditions, health notifications and machine learning

Dengue has become a challenge for many countries. Arboviruses transmitted by Aedes aegypti spread rapidly over the last decades. The emergence chikungunya fever and zika in South America poses new challenges to vector monitoring and control. This situation got worse from 2015 and 2016, with the rapid spread of chikungunya, causing fever and muscle weakness, and Zika virus, related to cases of microcephaly in newborns and the occurrence of Guillain-Barret syndrome, an autoimmune disease that affects the nervous system. The objective of this work was to construct a tool to forecast the distribution of arboviruses transmitted by the mosquito Aedes aegypti by implementing dengue, zika and chikungunya transmission predictors based on machine learning, focused on multilayer perceptrons neural networks, support vector machines and linear regression models. As a case study, we investigated forecasting models to predict the spatio-temporal distribution of cases from primary health notification data and climate variables (wind velocity, temperature and pluviometry) from Recife, Brazil, from 2013 to 2016, including 2015’s outbreak. The use of spatio-temporal analysis over multilayer perceptrons and support vector machines results proved to be very effective in predicting the distribution of arbovirus cases. The models indicate that the southern and western regions of Recife were very susceptible to outbreaks in the period under investigation. The proposed approach could be useful to support health managers and epidemiologists to prevent outbreaks of arboviruses transmitted by Aedes aegypti and promote public policies for health promotion and sanitation

Mining for Patterns of Semantic Link Usage: Do Domain Users Actually Like Semantic Browsing?

A perceived limitation of the current Web is that it is comprised of static links with no connection to any underlying domain knowledge. The Semantic Web is seen as a potential solution to this problem by delivering semantically related information to users dynamically. However, the benefit to users is rarely questioned and there have been few real-world user evaluations of semantic systems. In this paper we present a user-centred evaluation of three Semantic Web Browsers (SWB) that have been extended as part of the Sealife project. The results presented are based on analysis of the server logs from each application in relation to time taken to perform pre-defined tasks along with the amount of semantic activity carried out. It was found that the user experience was dependent on the SWB used but there was some indication users will be able to find information more quickly and that users will explore semantic features if present

Evaluating the online activity of users of the e-bug web site

Web server log analysis is being increasingly used to evaluate the user behaviour on healthcare resource web sites due to the detailed record of activity that they contain. This study aimed to use this information to evaluate the e-Bug web site, a healthcare resource that provides a range of educational resources about microbes, hand and respiratory hygiene, and antibiotics. This evaluation was conducted by analysing the web server logs of the e-Bug web site for the period January 2008 to November 2009, using a proprietary application named Sawmill. The e-Bug web site has had .900000 page views generated from .88000 users, with an increase in May 2009 during the swine flu epidemic and a further increase in September 2009 following the official launch of e-Bug. The majority of visitors were from the UK, but visits were recorded from 190 different countries. Word® document resources were downloaded .169000 times, with the most popular being a swine flu factsheet. PowerPoint® document resources were downloaded .36000 times, with the most popular relating to the ‘chain of infection’. The majority of visitor referrals originated from search engines, with the most popular referral keywords being variations on the e-Bug name. The most common non-search engine referrals were from other healthcare resources and agencies. Use of the site has increased markedly since the official launch of e-Bug, with average page views of .200000 per month, from a range of countries, illustrating the international demand for a teaching resource for microbes, hygiene and antibiotics

Evaluation of e-Bug, an educational pack, teaching about prudent antibiotic use and hygiene, in the Czech Republic, France and England

OBJECTIVES: e-Bug, a junior and senior school educational programme to decrease the spread of infection and unnecessary antibiotic use, was developed and consisted of eight sections providing information on the spread, treatment and prevention of infection as well as basic information on microbes, both useful and harmful. Each section comprised teacher background information, lesson plans and an interactive student activity, and extension activities were also available for more able students. This study aimed to evaluate the effectiveness of the e-Bug pack in improving children's knowledge in these key areas, when used within the National Curriculum in England, France and the Czech Republic. METHODS: Junior (9-11 years) and senior (12-15 years) school classes were divided into either control or intervention groups for evaluation of the resource. Students were required to complete identical knowledge questionnaires at three timepoints (before, immediately after and 6 weeks after teaching), to assess knowledge change and retention. Teaching, using the e-Bug pack, was given by junior and senior school teachers. RESULTS: The junior e-Bug teaching pack demonstrated a significant improvement in student's knowledge in all sections and there was no significant decrease in student knowledge observed after a 6 week period. Knowledge improvement with the senior e-Bug pack varied between regions, although consistent improvement was observed for Gloucestershire (England) and Ostrava (Czech Republic). CONCLUSIONS: Although a success, modifications are required in both packs to further improve student knowledge and make the packs more appealing