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E-raamat: Data Management in Pervasive Systems

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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.

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 Personal

ization.- 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.
Part I Preliminaries and Relevant Related Topics
1 The Internet of Things and Value Co-creation in a Service-Dominant Logic Perspective
3(16)
Aurelio Tommasetti
Massimiliano Vesci
Orlando Troisi
1.1 Introduction
3(1)
1.2 Service-Dominant Logic: A Conceptual Framework of Analysis
4(1)
1.3 The Relevance of the Internet of Things: A Review of Definitions and Main Concepts
5(6)
1.3.1 The Internet of Things: Trends and Economic Value
10(1)
1.4 From the Internet Revolution to the IoT Evolution
11(4)
1.5 The Internet of Things and Value Co-creation: An Introduction in the Cultural Heritage Management
15(1)
References
16(3)
2 Pervasive Systems Architecture and the Main Related Technologies
19(24)
Francesco Colace
Massimo De Santo
Vincenzo Moscato
Antonio Picariello
Fabio A. Schreiber
Letizia Tanca
2.1 Introduction to Pervasive Data Management
19(2)
2.2 Data Sources
21(4)
2.2.1 Social Networks
22(1)
2.2.2 Sensor Networks
23(1)
2.2.3 Digital Repositories
23(2)
2.2.4 Web Data Services
25(1)
2.3 Advanced Data Management
25(13)
2.3.1 Relational Technologies
26(1)
2.3.2 NoSQL Databases
27(7)
2.3.3 Real-Time Data Management
34(1)
2.3.4 Main Memory Databases
35(3)
2.4 Data Analytics
38(3)
2.4.1 Data Mining
38(1)
2.4.2 Other Common Data Analysis Methods
39(1)
2.4.3 Making Sense of Big Data
40(1)
References
41(2)
3 Privacy in Pervasive Systems: Social and Legal Aspects and Technical Solutions
43(26)
Sabrina De Capitani di Vimercati
Sara Foresti
Giovanni Livraga
Stefano Paraboschi
Pierangela Samarati
3.1 Introduction
43(2)
3.2 Privacy in Pervasive Systems
45(4)
3.2.1 Reference Scenario
45(3)
3.2.2 Privacy Issues
48(1)
3.3 Protecting Location Information
49(4)
3.4 Privacy-Preserving Data Sharing
53(7)
3.4.1 Protecting Macrodata
53(2)
3.4.2 Protecting Microdata
55(4)
3.4.3 Protecting Data Streams
59(1)
3.5 Privacy-Preserving Data Storage
60(3)
3.6 Conclusions
63(1)
References
63(6)
Part II Sensors, Data Streams, and Storage
4 Sensors and Wireless Sensor Networks as Data Sources: Models and Languages
69(24)
Fabio A. Schreiber
Manuel Roveri
4.1 Introduction
69(1)
4.2 Sensors
70(6)
4.3 WSN Units: Hardware and Software Description
76(4)
4.3.1 Hardware Platforms
76(3)
4.3.2 Operating Systems
79(1)
4.4 Data Transmissions in WSNs
80(1)
4.5 Querying a WSN
81(4)
4.6 WSN Data Languages
85(5)
4.6.1 TinyDB
85(1)
4.6.2 GSN
86(1)
4.6.3 DSN
86(1)
4.6.4 PerLa
86(4)
4.7 Summary
90(1)
References
90(3)
5 Data Streams and Data Stream Management Systems and Languages
93(20)
Emanuele Panigati
Fabio A. Schreiber
Carlo Zaniolo
5.1 A Short Introduction to Information Flow Processing and Data Streams
93(1)
5.2 Data Stream Definitions
94(3)
5.3 Data Stream Structure and Constraints on Queries
97(1)
5.4 Data Stream Query Languages and Data Stream Management Systems
98(8)
5.4.1 StreaQuel and TelegraphCQ
99(1)
5.4.2 XML-QL and NiagaraCQ
99(1)
5.4.3 OpenCQ
100(1)
5.4.4 Tribeca
100(1)
5.4.5 CQL and Stream
101(2)
5.4.6 GSQL and Gigascope
103(1)
5.4.7 PerLa
104(2)
5.5 The Stream Mill System
106(3)
5.6 Summary and Conclusions
109(1)
References
109(4)
6 The Complex Event Processing Paradigm
113(22)
Gianpaolo Cugola
Alessandro Margara
6.1 Introduction
113(1)
6.2 CEP Languages
114(3)
6.2.1 Event Model
114(1)
6.2.2 Processing Model
115(2)
6.3 Processing Algorithms
117(8)
6.3.1 Automata-Based Processing
117(3)
6.3.2 Columns-Based Processing
120(1)
6.3.3 Exploiting Parallel Hardware
121(3)
6.3.4 Performance Analysis
124(1)
6.4 Protocols for Distributed Event Detection
125(5)
6.4.1 Distribution Strategies
126(1)
6.4.2 A Concrete Example: Distribution Strategies for T-Rex
126(3)
6.4.3 Performance Analysis
129(1)
6.5 Advanced Topics
130(1)
6.6 Conclusions
131(1)
References
132(3)
7 Applying Semantic Interoperability Principles to Data Stream Management
135(34)
Daniele Dell'Aglio
Marco Balduini
Emanuele Della Valle
7.1 Introduction
135(3)
7.2 RSP Models
138(12)
7.2.1 The RDF Data Model
138(1)
7.2.2 The RSP Data Model
139(4)
7.2.3 RSP Query Model
143(7)
7.3 RSP Implementations
150(6)
7.3.1 C-SPARQL
151(1)
7.3.2 CQELS
152(1)
7.3.3 SPARQLstream
152(1)
7.3.4 INSTANS
153(1)
7.3.5 ETALIS and EP-SPARQL
154(1)
7.3.6 SLD
155(1)
7.4 Case Study
156(8)
7.5 Conclusions
164(1)
References
164(5)
Part III Social Networks as Information Sources
8 Multimedia Social Networks for Cultural Heritage Applications: The GIVAS Project
169(14)
Vincenzo Moscato
Antonio Picariello
V.S. Subrahmanian
8.1 Introduction: Social Networks and Multimedia
169(3)
8.2 GIVAS Project
172(7)
8.2.1 The System at a Glance
172(1)
8.2.2 GIVAS Architecture
173(4)
8.2.3 Implementation Details
177(2)
8.3 A Case Study
179(2)
8.4 Conclusions
181(1)
References
182(1)
9 Sentiment Detection in Social Networks Using Semantic Analysis: A Tool for Sentiment Analysis and Its Application in Cultural Heritage Realm
183(12)
Shi-Kuo Chang
Luca Greco
Aniello De Santo
9.1 Introduction
183(2)
9.2 Extracting a Mixed Graph of Terms
185(2)
9.3 Searching the Sentiment by the Use of the Mixed Graph of Terms
187(2)
9.4 A Case Study for Cultural Heritage Applications
189(2)
9.5 Conclusions
191(1)
References
192(3)
10 Security and Privacy Issues in Social Networks
195(18)
Sepideh Deliri
Massimiliano Albanese
10.1 Introduction
195(1)
10.2 Overview of Online Social Networks
196(1)
10.3 Security and Privacy Threats
197(5)
10.3.1 Social Engineering and Reverse Social Engineering Attacks
197(1)
10.3.2 Identity Theft
198(1)
10.3.3 Spamming Attacks
199(1)
10.3.4 Malware Issues
199(1)
10.3.5 Clickjacking, Likejacking, and Cursorjacking Attacks
199(1)
10.3.6 Cross-Site Scripting
200(1)
10.3.7 Cyberbullying
201(1)
10.3.8 Internet Fraud
201(1)
10.3.9 Data Mining and Inference Attacks
201(1)
10.3.10 Sybil and Identity Clone Attacks
202(1)
10.4 Available Countermeasures
202(3)
10.4.1 Countermeasures Against Phishing Attacks
203(1)
10.4.2 Countermeasure Against Sybil Attacks
204(1)
10.4.3 Countermeasures Against Spamming
204(1)
10.5 The Role of OSN Users
205(1)
10.6 Legal and Regulatory Landscape
206(1)
10.7 Conclusions
207(1)
References
208(5)
Part IV Context Awareness and Personalization
11 Data Personalization
213(22)
Georgia Koutrika
11.1 Introduction
213(1)
11.2 Definition of Personalization
214(1)
11.3 User Models and Profiles
215(6)
11.3.1 User Knowledge
216(1)
11.3.2 User Goals
217(2)
11.3.3 User Preferences and Interests
219(2)
11.4 Data Personalization Methods
221(9)
11.4.1 Information Filtering
221(2)
11.4.2 Recommender Systems
223(5)
11.4.3 Personalized Search
228(2)
11.5 Personalization Examples in Museums
230(2)
References
232(3)
12 Context Awareness in Pervasive Information Management
235(22)
Francesco Colace
Vincenzo Moscato
Elisa Quintarelli
Emanuele Rabosio
Letizia Tanca
12.1 Introduction
235(1)
12.2 Existing Approaches to Context-Based Knowledge Access
236(4)
12.2.1 Using Different Perspectives in Data Modeling
237(1)
12.2.2 Partitioning Information Bases
238(1)
12.2.3 Determining the Set of Relevant Services
238(1)
12.2.4 Information Filtering
239(1)
12.3 Context-Aware Knowledge Adaptation
240(3)
12.4 Using Context to Deal with Data and Services
243(6)
12.4.1 Context-Aware Definition of Relevant Areas in Databases
243(2)
12.4.2 Services' Activation Driven by Context
245(4)
12.5 Context Schema Evolution
249(1)
12.6 Data Personalization Based on Contextual Preferences
250(3)
12.6.1 Using Contextual Preferences to Filter Context-Aware Data
251(1)
12.6.2 Mining Contextual Preferences
252(1)
12.7 PerLa for Context
253(1)
12.8 Conclusion
254(1)
References
255(2)
13 Context Awareness in Mobile Systems
257(34)
Mohamed Sarwat
Jie Bao
Chi-Yin Chow
Justin Levandoski
Amr Magdy
Mohamed F. Mokbel
13.1 Overview of Context Awareness in Mobile Systems
257(2)
13.2 Spatial Location as a Context
259(16)
13.2.1 Location-Aware Social Networking
259(8)
13.2.2 Location-Aware Microblogging
267(3)
13.2.3 Location-Aware Recommender Systems
270(5)
13.3 Overview of Context and Preference-Aware Systems
275(8)
13.3.1 Context and Preference-Aware Database Operations
276(7)
References
283(8)
Part V Multimedia Information Management
14 Content-Based Multimedia Retrieval
291(20)
Flora Amato
Luca Greco
Fabio Persia
Silvestro Roberto Poccia
Aniello De Santo
14.1 Introduction
291(1)
14.2 Content-Based Text Retrieval
292(4)
14.2.1 Basic Crawling and Indexing Strategies
293(1)
14.2.2 IR Models and Weighting Schemes
294(2)
14.3 Content-Based Video and Image Retrieval
296(3)
14.3.1 Content-Based Video Retrieval
297(1)
14.3.2 Content-Based Image Retrieval
298(1)
14.4 Content-Based Audio Retrieval
299(5)
14.4.1 A Framework for Audio Retrieval Systems
300(1)
14.4.2 Properties of Audio Signals
301(1)
14.4.3 Audio Feature Extraction and Classification Researches
302(1)
14.4.4 Applications and Tools for Content-Based Audio Retrieval
303(1)
14.5 Further Application Domains for Content-Based Multimedia Retrieval
304(1)
References
305(6)
15 Multimedia Queries in Digital Libraries
311(16)
Ilaria Bartolini
Marco Patella
15.1 Peculiarities of Querying Multimedia Data
311(2)
15.2 The Windsurf Model
313(5)
15.2.1 Efficient Processing of Similarity Queries
315(1)
15.2.2 Processing of Mixed Queries
316(2)
15.3 Semantic Enrichment of Multimedia Data
318(6)
15.3.1 Efficient Annotation of Complex Multimedia Documents
322(2)
References
324(3)
16 Multimedia Recommendation and Delivery Strategies
327(18)
Ruggero G. Pensa
Antonio Penta
Maria Luisa Sapino
16.1 Introduction
327(2)
16.2 Grouping of Related Objects and Users Through Co-clustering
329(7)
16.2.1 Factorization-Based Approaches
331(1)
16.2.2 Information-Theoretic Approaches
332(1)
16.2.3 Probabilistic Approaches
333(1)
16.2.4 Association-Based Approaches
333(3)
16.3 Delivery Strategies for Multimedia Recommendation
336(4)
16.3.1 Context-Based Delivery Strategies
337(1)
16.3.2 Location-Based Delivery Strategies
338(1)
16.3.3 Delivery Strategies Based on Device Features
339(1)
16.3.4 Profile-Based Delivery Strategies
339(1)
16.4 Conclusion
340(1)
References
340(5)
Part VI Application to the DATABENC Case Study
17 PATCH: A Portable Context-Aware Alias for Browsing Cultural Heritage
345(18)
Francesco Colace
Massimo De Santo
Vincenzo Moscato
Antonio Picariello
Fabio A. Schreiber
Letizia Tanca
17.1 Introduction
345(2)
17.2 Case Studies
347(4)
17.3 System Overview
351(7)
17.3.1 Architecture
351(1)
17.3.2 Functionalities
352(6)
17.4 Implementation Details
358(1)
17.5 Conclusions and Future Work
359(1)
References
360(3)
Index 363
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