Adriana Caione

WoX: Model-Driven Development of Web of Things Applications

Abstract Nodes of the Internet of Things (IoT) are heterogeneous: Bluetooth Low Energy (BLE), Radio Frequency Identification (RFID), Near Field Communication (NFC), Wireless Sensors Networks (WSN), Konnex (KNX), just to name the most popular. IoT clients are heterogeneous too: mobile apps, laptops, enterprise applications, business processes instances, not to mention that even IoT nodes can be clients for other nodes. In this many-to-many relationship scenario, developing a seamless IoT system is arduous even for a specialized developer. All the more so, enable non-technical people to autonomously define innovative IoT-based scenarios is far from being trivial. This calls for the definition of a common design model shared by all the IoT stakeholder: device manufacturers, developers, stakeholders, business entities, end users. The Web of Things (WoT) paradigm has brought the IoT a step closer to the people perception, because it allows treating a networked thing as a Web resource. Nevertheless, sharing a common application layer protocol on top of the physical “things” does not guarantee that IoT application will be fast-developed, robust and easily evolvable. REST APIs definition for the IoT objects is left to the individual developer. Technological needs may vary along the application lifecycle. Stakeholders are often interested in virtual or aggregated environment features, rather than the single networked thing. To overcome these open issues, we think that it is needed an additional abstraction level between the WoT and the application layer. This should be model-driven – in order this to be adequately agreed by all the IoT stakeholders – and topic-based – because of the event-driven nature of the IoT. In this work we propose Web of Topics (WoX), a Cloud platform for the Internet of (every)Thing (IoE). WoX APIs allows companies and organisations to realise robust and high-maintainable IoT-based services, while minimising deployment costs and the time-to-market. Its model-driven approach guarantees a great end-user experience and a seamless integration among the heterogeneous IoT entities. In this book chapter we present the WoX model and the concrete architecture supporting it. As a proof of concept, in this work we also show how we implemented an original IoT scenarios using the WoX concepts, APIs and architecture: the airport short-stay parking service.

E-learning Project Assessment Using Learners’ Topic in Social Media

A correct assessment of e-learning projects is a complex task because there are several aspects (such as contents, technologies, organizations etc.) that must be considered and many actors (learners, teachers, pedagogues, etc.) each one with specific requirements to be met. In recent years, in order to standardize the evaluation and to define the quality features of an e-learning project, several sets of factors (called Critical Success Factors) have been defined. The Critical Success Factors are focused on many aspects but, in our vision, they don’t consider properly the learners’ opinions. The learner is exactly the main e-learning project stakeholder. Thus, he/she could be considered at the centre of the e-learning system and his/her opinions must be carefully evaluated. In this paper, we describe our idea to support the analysis of the learners’ discussions posted on the web2.0 media (like forums, wikis, etc.) and to support the subsequent evaluation of the lacks and the benefits of e-learning projects.

Exploiting an IoT local middleware for the orchestration of mobile device sensors to detect outdoor and indoor user positioning

Thanks to the proliferation of mobile technologies that enable devices to use the network for providing (publish) or requiring (subscribe) information according to specific applications aims, the Internet of Things (IoT) can be considered as the biggest challenge that the industry is currently facing. During the last years several application domains for IoT have emerged and among these the Smart Cities. In effect, the IoT is redrawing the Smart Cities in a promising way from the technological, economic, and social perspectives. This represents the background of the work described in the present paper that deals with an Ambient Assisted Living (AAL) mobile system able to detect outdoor and indoor user positioning, acquiring data through sensors in an unobtrusive way. Our system exploits an IoT middleware, called WoX (Web of Topics) and its local counterpart L-WoX (Local-Web of Topics). Thanks to its model-driven approach, it is able to allow the communication between mobile applications and a set of heterogeneous sensors, orchestrating access services and communication protocols in a very abstract way.

A Social Metric Approach to E-Learning Evaluation in Education

The use of e-learning in education is an ever-increasing practice. E-learning could generate effective learning for education. There are several factors affecting the creation of successful e-learning for education as well as several criteria possibly applied to evaluate the effectiveness. The “traditional” way (questionnaire, interview, information system analysis) to measure effectiveness is not enough in e-learning measure of effectiveness because part of the information, that coming from social networks, will be lost. This paper, after identifying the Critical Success Factors (CSFs) of a synchronous e-learning system, and identifying the Key Performance Indicators (KPIs), proposes an approach for evaluation based on the analysis of information derived from social aspects. The paper proposes a set of CSFs and KPIs to study the students’ perception and highlights how to measure the KPIs using social software information.

Deploying Mobile Middleware for the Monitoring of Elderly People with the Internet of Things: A Case Study

The ageing population and related diseases represent some of the most relevant challenges in the healthcare domain. All that will lead to an increasing demand of innovative solutions in order to guarantee a healthy and safe lifestyle to the elderly. In fact, many researchers are studying the use of Internet of Things (IoT) technologies in the e-health field. In this paper we report a case study where a locale middleware for portable devices has been used to facilitate the development of IoT mobile application in this respect, allowing the communication among different on board sensing technologies. The mobile middleware is built on top of the WoX (Web of Topics) platform and quickly permits the deployment of innovation services thanks to its abstraction and user centric model. A validation test bed involving 31 elderly people living in Lecce (Italy) has been carried out for the monitoring of their activities, mainly those connected to positioning and motility both in indoor and outdoor scenarios. Our approach has demonstrated a practical way to replace obtrusive monitoring technique (typical of caregivers) with unobtrusive ones, in order to obtain proactive intervention strategies for a smart city.

KPIs identification for evaluating E-learning courses through students’ perception

The use of e-learning in education is an ever-increasing practice. E-learning could generate effective learning for education. There are several factors affecting the creation of successful e-learning for education as well as several criteria possibly applied to evaluate the effectiveness. The “traditional” way (questionnaire, interview, information system analysis) to measure effectiveness is not enough in e-learning measure of effectiveness because part of the information, that coming from social networks, will be lost. This paper, after identifying the Critical Success Factors (CSFs) of a synchronous elearning system, and identifying the Key Performance Indicators (KPIs), proposes an approach for evaluation based on the analysis of information derived from social aspects. The paper proposes a set of CSFs and KPIs to study the students’ perception of e-learning platform and highlights how to measure the KPIs using social software information.

A Knowledge Base Guided Approach for Process Modeling in Complex Business Domain

The business process analysis requires an in-depth knowledge of factors such as the activities carried out; the actors involved; the domain or business context in which the activities are performed; the internal company structure; the current regulatory framework. This involves the employment and the collaboration of different professionals, such as business experts, domain experts and legal experts, along with a considerable effort in terms of time and resources. For the purpose of an efficient and effective management of business processes, it is also important to ensure the compliance with the company context and the flexibility with regard to changes that may occur within the company or at the legislative level. This paper shows a methodological and architectural approach guided by a knowledge base that describes the application domain. It is populated iteratively with the information extracted from the analysis of documents, regulations and requirements. The knowledge base is then used by the process designer as a guide for business process modelling and management.

Knowledge base support for dynamic information system management

Enterprise activities are governed by regulations and laws that are multiple, heterogeneous and not always easy to understand. The arising and/or the modification of these regulations and laws can cause a significant impact in the business context, especially in terms of enterprise information systems adaptation. Currently, there are many methodological and technological tools that facilitate the application of regulations and procedures, but they are not integrated enough to ensure a complete problem management. Therefore, they are not sufficient to support organizations and companies in the management of their business processes. In this paper we propose a methodological and technological solution, able to model, manage, execute and monitor business processes of complex domains. The system allows both the design of an information system and its prototyping as a web application, by the extension of an appropriately selected Business Process Management suite. During both the design and the usage phases of the prototyped information system, it is possible to interface with a knowledge base that contains information about regulations and aspects that characterize the enterprise (organizational chart, tasks, etc.).

E-learning project assessment: A new approach through the analysis of learners’ posts on social media

E-learning assessment is a key aspect in the overall e-learning process. There are several parameters to consider during the assessment. In recent years, several sets of factors, called Critical Success Factors, have been defined to provide a structural approach to assessment. They focus on many aspects but, in our view, they do not properly consider student satisfaction with courses. In e-learning applications, student opinion must be examined where it is expressed: on e-learning course social pages and/or social pages outside the platform but specific to the e-learning course. The problem is that these resources are unstructured and thus it is important to structure these resources before using them for assessment. In this paper, we discuss a proposal that can capture student opinion from social pages, combining several techniques, such as Natural Language Processing, Information Extraction; ontologies that help us to understand what and how students discuss about e-learning courses.

Knowledge Gathering from Social Media to Improve Marketing in Agri-food Sector

Nowadays many small and medium companies are interested in entering into foreign markets to establish a brand presence, sell their products and beat the competitors. Before making such a marketing decision, marketing experts can be guided by the traditional analysis of reports but also by the Web, through the analysis of social networks, blogs, forums, etc. These sources can provide real-time information about the perception that users have of specific brands and products. As a result, there are several tools that can extract interesting information from these unstructured data. In this paper, we propose an innovative knowledge extraction architecture realized through the integration of some existing tools. The aim is to retrieve the more frequent concepts from unstructured sources, suggest other links of articles and images, with multi-language feature so that the research is language independent. The architecture provides a knowledge base of a specific domain, which is used to suggest concepts related to the research, and to filter the results obtained from the elaboration of the unstructured sources. We present a case of study related to marketing in agri-food sector, in order to illustrate how the software works, the results obtained, their interpretation and the managerial implications.