Abstract
Health information is highly sought on the Web by users that naturally have different levels of expertise in the topics they search for. Assisting users with query formulation is important when users are searching for topics about which they have little knowledge or familiarity. To assist users with health query formulation, we developed a query suggestion system that provides alternative queries combining Portuguese and English language with lay and medico-scientific terminology. Here, we analyze how this system affects the precision of search sessions. Results show that a system providing these suggestions tends to perform better than a system without them. On specific groups of users, clicking on suggestions has positive effects on precision while using them as sources of new terms has the opposite effect. This suggests that a personalized suggestion system might have a good impact on precision. © Springer Nature Switzerland AG 2018.

Abstract
Purpose The quality of consumer-oriented health information on the web has been defined and evaluated in several studies. Usually it is based on evaluation criteria identified by the researchers and, so far, there is no agreed standard for the quality indicators to use. Based on such indicators, tools have been developed to evaluate the quality of web information. The HONcode is one of such tools. The purpose of this paper is to investigate the influence of web document features on their quality, using HONcode as ground truth, with the aim of finding whether it is possible to predict the quality of a document using its characteristics. Design/methodology/approach The present work uses a set of health documents and analyzes how their characteristics (e.g. web domain, last update, type, mention of places of treatment and prevention strategies) are associated with their quality. Based on these features, statistical models are built which predict whether health-related web documents have certification-level quality. Multivariate analysis is performed, using classification to estimate the probability of a document having quality given its characteristics. This approach tells us which predictors are important. Three types of full and reduced logistic regression models are built and evaluated. The first one includes every feature, without any exclusion, the second one disregards the Utilization Review Accreditation Commission variable, due to it being a quality indicator, and the third one excludes the variables related to the HONcode principles, which might also be indicators of quality. The reduced models were built with the aim to see whether they reach similar results with a smaller number of features. Findings The prediction models have high accuracy, even without including the characteristics of Health on the Net code principles in the models. The most informative prediction model considers characteristics that can be assessed automatically (e.g. split content, type, process of revision and place of treatment). It has an accuracy of 89 percent. Originality/value This paper proposes models that automatically predict whether a document has quality or not. Some of the used features (e.g. prevention, prognosis or treatment) have not yet been explicitly considered in this context. The findings of the present study may be used by search engines to promote high-quality documents. This will improve health information retrieval and may contribute to reduce the problems caused by inaccurate information.

Abstract
The diversity of research topics and resulting datasets in the field of Ecology (the scientific study of ecological systems and their biodiversity) has grown in parallel with developments in research data management. Based on a meta-analysis performed on 93 scientific references, this paper presents a comprehensive overview of the use of metadata tools in the Ecology domain through time. Overall, 40 metadata tools were found to be either referred or used by the research community from 1997 to 2018. In the same period, 50 different initiatives in ecology and biodiversity research were conceptualized and implemented to promote effective data sharing in the community. A relevant concern that stems from this analysis is the need to establish simple methods to promote data interoperability and reuse, so far limited by the production of metadata according to different standards. With this study, we also highlight challenges and perspectives in research data management in the domain of Ecology towards best practice guidelines.

Abstract
UML Sequence Diagrams are used in different domains for specifying the required behaviour of software-based systems. However, the created diagrams are often used only as documentation, and not as a basis for generating subsequent lifecycle artifacts or for automated analysis. Several authors have proposed the transformation of Sequence Diagrams to executable Coloured Petri Nets (CPN), for simulation and testing purposes, but the transformations are not automated or are implemented in an ad-hoc way. To overcome those limitations, we present in this paper an approach to automatically translate Sequence Diagrams to CPN ready for execution with CPN Tools, taking advantage of model-to-model transformation techniques provided by the Eclipse Modelling Framework (EMF). The transformation rules are implemented in the Epsilon Transformation Language. We use the standard UML metamodel provided by EMF and the CPN metamodel provided by CPN Tools, so any Sequence Diagram created with an EMF compliant modelling tool can be transformed. An application example is presented to better illustrate the approach. Copyright

Abstract
Business Process Testing is the act of validating that end-to-end transactions through enterprise systems continue to work correctly as the underlying packaged applications evolve. End-to-end automatic business process validation can be a challenging task, but an important way to check that business rules continue to work properly and that problems are detected and corrected as soon as possible. This paper presents the design of a test automation platform, ETAP-Pro, to test end-to-end business processes that aims to overcome some challenges in validating business processes. © 2018 The Authors. Published by Elsevier B.V.

Abstract