| Description |
1 online resource (x, 127 pages) : illustrations |
| Series |
Synthesis lectures on data management, 2153-5426 ; #19 |
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Synthesis lectures on data management ; #19. 2153-5418
|
| Contents |
Preface -- Acknowledgments |
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1. Introduction -- 1.1 A running example, the setting -- 1.2 Events and information systems -- 1.2.1 Active databases -- 1.2.2 Complex event processing -- 1.2.3 Event-oriented spatiotemporal databases -- 1.3 Events and sensor networks -- 1.4 Events and multimedia information systems -- 1.4.1 Events from video and audio analysis -- 1.4.2 Events in surveillance systems -- 1.4.3 Multimedia and semantic events |
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2. Event data models -- 2.1 Modeling events on temporal databases -- 2.1.1 Example: Newsan's politician database -- 2.1.2 Events as value changes -- 2.2 Modeling events with conceptual temporal models -- 2.3 E*, a graph-based event model using RDF and ontologies -- 2.3.1 Example: Newsan covers a rally that turned violent -- 2.3.2 Modeling time in E* -- 2.3.3 Modeling location in E* -- 2.3.4 Modeling granularity of perdurants -- 2.3.5 The semantics of the subevent-of relationship -- 2.3.6 The semantics of collective events -- 2.3.7 Modeling constructs for events |
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3. Implementing an event data model -- 3.1 An extended entity relationship model for structured events -- 3.2 A pattern-based approach to structured events -- 3.3 A hybrid approach for structured and semi-structured events -- 3.4 An implementation scheme for E* -- 3.4.1 Declaring E* events with E*ML -- 3.4.2 Toward a physical model for E* events |
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4. Querying events -- 4.1 Characterizing event queries -- 4.2 A query processing architecture -- 4.3 The semantic catalog -- 4.4 An algebraic framework for E*ML query processing |
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5. Storytelling with events -- 5.1 Formulating the problem -- 5.2 A story request language -- 5.3 Algorithms for storytelling |
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6. An emerging application -- 7. Conclusion -- A. An RDF primer -- Bibliography -- Authors' biographies |
| Summary |
With the proliferation of citizen reporting, smart mobile devices, and social media, an increasing number of people are beginning to generate information about events they observe and participate in. A significant fraction of this information contains multimedia data to share the experience with their audience. A systematic information modeling and management framework is necessary to capture this widely heterogeneous, schemaless, potentially humongous information produced by many different people. This book is an attempt to examine the modeling, storage, querying, and applications of such an event management system in a holistic manner. It uses a semantic-web style graph-based view of events, and shows how this event model, together with its query facility, can be used toward emerging applications like semi-automated storytelling |
| Analysis |
event management system |
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graph data |
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graph query language |
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storytelling |
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event queries |
| Bibliography |
Includes bibliographical references (pages 115-126) |
| Notes |
English |
| Subject |
Event processing (Computer science)
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Multimedia systems.
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COMPUTERS -- Digital Media -- General.
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COMPUTERS -- Interactive & Multimedia.
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COMPUTERS -- Web -- Site Design.
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COMPUTERS -- Web -- User Generated Content.
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Event processing (Computer science)
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Multimedia systems
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| Form |
Electronic book
|
| Author |
Jain, Ramesh, 1949-
|
| ISBN |
9781608453528 |
|
1608453529 |
|
9781608453511 |
|
1608453510 |
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9783031018824 |
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3031018826 |
|
