Data Management in Pervasive Systems

The goal of this book is to provide a systematic description of the various research issues related to the management of information in pervasive systems, illustrating the state of the art in this area. Accordingly, it both outlines the foundations and basic technologies and presents more advanced aspects, making it suitable for self-contained graduate courses or seminars on pervasive data management or distributed systems.

The book is organized into six parts, including an illustrating case study. Part 1 briefly covers the basic ideas underlying the economic, technological, social and legal aspects of pervasive systems. Part 2 then describes several aspects of sensor networks and data stream processing, while part 3 highlights the main aspects of social networks with a special emphasis on cultural heritage applications. Next, part 4 details personalization and context awareness issues in pervasive environments, and part 5 reports on multimedia aspects, again with a particular focus on cultural heritage. The overall picture of the technological challenges and opportunities are illustrated in part 6 with the support of a cultural heritage case study, the DATABENC1 project on Italy's Campania region. Each part is accompanied by its own foreword. Readers from two main categories will benefit most from this book: IT researchers and professionals will learn about the latest advances in pervasive technologies and at the same time familiarize themselves with specific issues concerning cultural heritage; while humanities and cultural heritage experts and enthusiasts will find an introduction to the enabling technologies that are so promising for their field of application.

Résumé
This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-originated data operation and reasoning, multimedia data management, data analytics and reasoning for event detection and decision making, context modelling and control, automatic data and service tailoring for personalization and recommendation. The book is organized into the following main parts: i) multimedia information management; ii) sensor data streams and storage; iii) social networks as information sources; iv) context awareness and personalization. The case study is used throughout the book as a reference example.

Contenu
Part I Preliminaries and relevant related topics.- 1 The Internet of Things and value co-creation in a Service Dominant logic perspective.- 2 Pervasive Systems Architecture and the main related technologies.- 3 Privacy in Pervasive Systems: Social and Legal Aspects and Technical Solutions.- Part II Sensors, data streams and storage.- 4 Sensors and Wireless Sensor Networks as data sources: models and languages.- 5 Data Streams and Data Stream Management Systems and Languages.- 6 The Complex Event Processing Paradigm.- 7 Applying Semantic Interoperability Principles to Data Stream Management.- Part III Social networks as information sources.- 8 Multimedia Social Networks for Cultural Heritage Applications: the GIVAS project.- 9 Sentiment Detection in Social Networks using semantic analysis: a tool for sentiment analysis and its application in Cultural Heritage realm.- 10 Security and Privacy Issues in Social Networks.- Part IV Context awareness and personalization.- 11 Data Personalization.- 12 Context Awareness in Pervasive Information Management.- 13 Context Awareness in Mobile Systems.- Part V Multimedia information management.- 14 Content-Based Multimedia Retrieval.- 15 Multimedia Queries in Digital Libraries.- 16 Multimedia Recommendation and Delivery strategies.- Part VI Application to the DATABENC case study.- 17 PATCH: a Portable context-aware Atlas for browsing Cultural Heritage.