The main vision of the Internet of Things (IoT) is to enable seamless connection between physical devices and information systems to improve the lives of people. One of the main obstacles to achieve this vision is the current lack of IoT interoperability. In this article, the authors are giving an overview on how semantics is used in IoT interoperability related research. To do this, they performed a systematic literature review and extracted data from 105 selected primary studies dealing with semantics in IoT interoperability. The authors have analysed the maturity level of this research field and when and where the relevant works were published. This article answers five main research questions about the following issues: what are semantics used for; what types of ontologies exist (which are used to give semantical descriptions); what are the main themes and suggestions for future work in these research articles; and what are other related areas.

No abstract

The numerous heterogeneities among different providers make platform as a service interoperability an interesting and complex research and practical problem. For example, each provider offers its own remote application programming interfaces (APIs). The main aim of this paper is to identify and address service-level interoperability issues when using APIs from different commercial providers of platform as a service. First, we define use case to add current user information from one platform as a service offer to the application hosted on another offer. To address interoperability problems, the ontology driven data mediation will be used and tested in this use case. Remote vendors' APIs are implemented as web services. Resulting web operations and their inputs/outputs are semantically annotated using cross-PaaS concepts from the developed platform as a service OWL ontology. Next, SAWSDL and XSLT are used to define service type mappings. Actual composition of platform as a service APIs is implemented by means of AI planner and developed Java web application. Testing and validation was performed on a case where current Salesforce's user is added to data container in Vosao content management system deployed on Google App Engine. Novelty of the paper is a specific application domain (composition of operations defined in PaaS APIs) and new algorithm for identification of interoperability problems.

No abstract

Abstract. The scientific knowledge is disseminated by research papers. Most of the research literature is copyrighted by publishers and available only through paywalls. Recently, some websites offer most of the recent content for free. One of them is the controversial website Sci-Hub that enables access to more than 47 million pirated research papers. In April 2016, Science Magazine published an article on Sci-Hub activity over the period of six months and publicly released the Sci-Hub's server log data. The mentioned paper aggregates the view that relies on all downloads and for all fields of study, but these findings might be hiding interesting patterns within computer science. The mentioned Sci-Hub log data was used in this paper to analyse downloads of computer science papers based on DBLP's list of computer science publications. The top downloads of computer science papers were analysed, together with the geographical location of Sci-Hub users, the most downloaded publishers, types of papers downloaded, and downloads of computer science papers per publication year. The results of this research can be used to improve legal access to the most relevant scientific repositories or journals for the computer science field.