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Achievements in academia and industry indicate a move towards the creation of a giant smart system including objects of different sizes, shapes, and purposes where the Internet will be so diverse and more resourceful with the incorporation of different smart devices. Mid Swe-den University took a first step towards providing an appropriate plat-form for Internet of Things applications known as SensibleThings for the emerging intercommunication of “objects”, called Internet of Things. The SensibleThings platform has produced components for sharing sensor-based context information on the Internet, in order to enable Internet of Things applications. In this thesis the plan was to contribute to filling the gap between the IoT and developers in academia as well as in the industries. The aim of the project was to create basic functionality to enable users to find new interesting users on the IoT and prioritize existing users. To this end context information and user profile man-agement is proposed and presented. Furthermore, a comparison be-tween the platform with the proposed extension as well as without was compared and examined.

Mobile television ( TV ) is a relatively new and unknown field of communication. Thus, role players in this field of communication find themselves in a new context for relationship. This raises the question as to what the key challenges in the relationship between content providers and users in mobile TV involve. More specifically, the following questions should be answered. Does mobile TV display particular characteristics of new media? If so, then how could content providers meet the challenge of understanding the user profile in mobile TV as a new medium? Also, how could content providers meet the challenge of adapting content provision according to the user experience of mobile TV as a new medium? This research paper explores these questions through means of an explorative literature study of relevant sources. Firstly, it provides a conceptual framework of mobile TV as well as an understanding of mobile TV within the greater context of new media. Secondly, it presents a means to understand the user profile in mobile N as a new medium. Lastly, it presents practical aspects that need to be considered when providing content for mobile TV as a new medium. The findings of the study can be summarised as follows: (a) Mobile TV portrays particular new media characteristics, such as, digitalisation, interactivity, hypertext, dispersal and virtuality. (b) A market-led approach should be employed in order to understand the user profile. (c) Mobile N content production should be integrated into the production process with the requirement that it is of a high quality and meets the technical and feasible limitations of the medium. / Thesis (M.A. (Communication Studies))--North-West University, Potchefstroom Campus, 2007.

Em comunidades de prática, a aprendizagem ocorre por meio da interação e colaboração constante de seus participantes, o caráter social destes ambientes é fundamental para a construção do conhecimento. Por este motivo, esta dissertação busca compreender a forma como os usuários interagem em comunidades de prática e propõe a estruturação destas informações em torno de um perfil dinâmico de usuário. A aplicação de perfis de usuário neste contexto permite entender o indivíduo, seus interesses e necessidades. A partir da representação dos participantes de comunidades de prática é possível desenvolver sistemas de aprendizagem inteligente, sistemas de recomendação, elementos de gamificação e sistemas de acesso e recuperação de informação personalizados. Estes mecanismos procuram estimular o engajamento dos participantes e promover a aprendizagem colaborativa. A representação das informações neste trabalho será apoiada pelo uso de tecnologias da web semântica e de ontologias para a formalização das relações em comunidades de prática. O desenvolvimento de softwares educacionais baseados na web semântica amplia a capacidade de implementação de novos mecanismos de aprendizagem, contribuindo para a análise das interações e a inferências sobre as informações dos usuários. O uso de ontologias permite a formalização das informações e torna possível a elaboração de uma rede de conhecimento que pode ser processada e consumida por agentes de software, contribuindo para a interoperabilidade do sistema. / In communities of practice, learning is built through constant interaction and collaboration of their participants, the social aspect of these environments is crucial for the knowledge construction. For this reason, this work intends to understand how users interact in communities of practice and proposes a dynamic user profile to structure this information. An user profile applied in this context allows us to understand the person, his interests and needs. The representation of participants in communities of practice allow us to develop intelligent learning systems, recommender systems, gamification elements and systems for personalized access and personalized information retrieval. Those mechanisms intend to stimulate participant engagement to promote collaborative learning. In this work, semantic web technologies and ontologies are used to represent this informations. The development of educational software based on the semantic web expands the capacity to implement new learning mechanisms, contributing to the analysis of the interactions and the inferences about user informations. The use of ontologies allows the formalization of information and enables the elaboration of a knowledge network that can be processed and consumed by software agents, contributing to the system interoperability.

Contextual information retrieval (CIR) is a critical technique for today’s search engines in terms of facilitating queries and returning relevant information. Despite its importance, little progress has been made in its application, due to the difficulty of capturing and representing contextual information about users. This thesis details the development and evaluation of the contextual SERL search, designed to tackle some of the challenges associated with CIR from the World Wide Web. The contextual SERL search utilises a rich contextual model that exploits implicit and explicit data to modify queries to more accurately reflect the user’s interests as well as to continually build the user’s contextual profile and a shared contextual knowledge base. These profiles are used to filter results from a standard search engine to improve the relevance of the pages displayed to the user. The contextual SERL search has been tested in an observational study that has captured both qualitative and quantitative data about the ability of the framework to improve the user’s web search experience. A total of 30 subjects, with different levels of search experience, participated in the observational study experiment. The results demonstrate that when the contextual profile and the shared contextual knowledge base are used, the contextual SERL search improves search effectiveness, efficiency and subjective satisfaction. The effectiveness improves as subjects have actually entered fewer queries to reach the target information in comparison to the contemporary search engine. In the case of a particularly complex search task, the efficiency improves as subjects have browsed fewer hits, visited fewer URLs, made fewer clicks and have taken less time to reach the target information when compared to the contemporary search engine. Finally, subjects have expressed a higher degree of satisfaction on the quality of contextual support when using the shared contextual knowledge base in comparison to using their contextual profile. These results suggest that integration of a user’s contextual factors and information seeking behaviours are very important for successful development of the CIR framework. It is believed that this framework and other similar projects will help provide the basis for the next generation of contextual information retrieval from the Web.

Στην παρούσα εργασία αντιμετωπίζουμε την διαδικασία εξατομικευμένης αναζήτησης από την πλευρά της σημασιολογίας και του περιεχομένου των σελίδων. Συγκεκριμένα γίνεται χρήση μιας θεματικής ιεραρχίας για την αυτόματη δημιουργία των προφίλ αναζήτησης των χρηστών και χρησιμοποιείται η ίδια ιεραρχία για τον θεματικό χαρακτηρισμό του περιεχομένου ενός κειμένου. Στηριζόμενοι σε μία συνδυασμένη ανάλυση των ενδιαφερόντων του χρήστη και των θεμάτων των σελίδων εξατομικεύουμε τα ανακτώμενα αποτελέσματα δίνοντας προτεραιότητα σε εκείνα τα αποτελέσματα τα οποία το θεματικό τους περιεχόμενο ανταποκρίνεται στο προφίλ του χρήστη. / This work discusses the process of personalized search under the view point of the semantics content of the web pages. In details, a thematic hierarchy is being used to create automatically user search profiles and the same hierarchy is being used to thematic characterize the content of documents. Based on a combined analysis of users’ interests and the thematic content of web pages, we personalize the results giving priority in those results which their thematic content response to the user profile.

Mobile television ( TV ) is a relatively new and unknown field of communication. Thus, role players in this field of communication find themselves in a new context for relationship. This raises the question as to what the key challenges in the relationship between content providers and users in mobile TV involve. More specifically, the following questions should be answered. Does mobile TV display particular characteristics of new media? If so, then how could content providers meet the challenge of understanding the user profile in mobile TV as a new medium? Also, how could content providers meet the challenge of adapting content provision according to the user experience of mobile TV as a new medium? This research paper explores these questions through means of an explorative literature study of relevant sources. Firstly, it provides a conceptual framework of mobile TV as well as an understanding of mobile TV within the greater context of new media. Secondly, it presents a means to understand the user profile in mobile N as a new medium. Lastly, it presents practical aspects that need to be considered when providing content for mobile TV as a new medium. The findings of the study can be summarised as follows: (a) Mobile TV portrays particular new media characteristics, such as, digitalisation, interactivity, hypertext, dispersal and virtuality. (b) A market-led approach should be employed in order to understand the user profile. (c) Mobile N content production should be integrated into the production process with the requirement that it is of a high quality and meets the technical and feasible limitations of the medium. / Thesis (M.A. (Communication Studies))--North-West University, Potchefstroom Campus, 2007.

Contextual information retrieval (CIR) is a critical technique for today’s search engines in terms of facilitating queries and returning relevant information. Despite its importance, little progress has been made in its application, due to the difficulty of capturing and representing contextual information about users. This thesis details the development and evaluation of the contextual SERL search, designed to tackle some of the challenges associated with CIR from the World Wide Web. The contextual SERL search utilises a rich contextual model that exploits implicit and explicit data to modify queries to more accurately reflect the user’s interests as well as to continually build the user’s contextual profile and a shared contextual knowledge base. These profiles are used to filter results from a standard search engine to improve the relevance of the pages displayed to the user. The contextual SERL search has been tested in an observational study that has captured both qualitative and quantitative data about the ability of the framework to improve the user’s web search experience. A total of 30 subjects, with different levels of search experience, participated in the observational study experiment. The results demonstrate that when the contextual profile and the shared contextual knowledge base are used, the contextual SERL search improves search effectiveness, efficiency and subjective satisfaction. The effectiveness improves as subjects have actually entered fewer queries to reach the target information in comparison to the contemporary search engine. In the case of a particularly complex search task, the efficiency improves as subjects have browsed fewer hits, visited fewer URLs, made fewer clicks and have taken less time to reach the target information when compared to the contemporary search engine. Finally, subjects have expressed a higher degree of satisfaction on the quality of contextual support when using the shared contextual knowledge base in comparison to using their contextual profile. These results suggest that integration of a user’s contextual factors and information seeking behaviours are very important for successful development of the CIR framework. It is believed that this framework and other similar projects will help provide the basis for the next generation of contextual information retrieval from the Web.

Em comunidades de prática, a aprendizagem ocorre por meio da interação e colaboração constante de seus participantes, o caráter social destes ambientes é fundamental para a construção do conhecimento. Por este motivo, esta dissertação busca compreender a forma como os usuários interagem em comunidades de prática e propõe a estruturação destas informações em torno de um perfil dinâmico de usuário. A aplicação de perfis de usuário neste contexto permite entender o indivíduo, seus interesses e necessidades. A partir da representação dos participantes de comunidades de prática é possível desenvolver sistemas de aprendizagem inteligente, sistemas de recomendação, elementos de gamificação e sistemas de acesso e recuperação de informação personalizados. Estes mecanismos procuram estimular o engajamento dos participantes e promover a aprendizagem colaborativa. A representação das informações neste trabalho será apoiada pelo uso de tecnologias da web semântica e de ontologias para a formalização das relações em comunidades de prática. O desenvolvimento de softwares educacionais baseados na web semântica amplia a capacidade de implementação de novos mecanismos de aprendizagem, contribuindo para a análise das interações e a inferências sobre as informações dos usuários. O uso de ontologias permite a formalização das informações e torna possível a elaboração de uma rede de conhecimento que pode ser processada e consumida por agentes de software, contribuindo para a interoperabilidade do sistema. / In communities of practice, learning is built through constant interaction and collaboration of their participants, the social aspect of these environments is crucial for the knowledge construction. For this reason, this work intends to understand how users interact in communities of practice and proposes a dynamic user profile to structure this information. An user profile applied in this context allows us to understand the person, his interests and needs. The representation of participants in communities of practice allow us to develop intelligent learning systems, recommender systems, gamification elements and systems for personalized access and personalized information retrieval. Those mechanisms intend to stimulate participant engagement to promote collaborative learning. In this work, semantic web technologies and ontologies are used to represent this informations. The development of educational software based on the semantic web expands the capacity to implement new learning mechanisms, contributing to the analysis of the interactions and the inferences about user informations. The use of ontologies allows the formalization of information and enables the elaboration of a knowledge network that can be processed and consumed by software agents, contributing to the system interoperability.