
Managing Event Information
Springer (Publisher)
Published on 8. August 2011
Book
Paperback/Softback
XII, 127 pages
978-3-031-00754-5 (ISBN)
Description
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. Table of Contents: Introduction / Event Data Models / Implementing an Event Data Model / Querying Events / Storytelling with Events / An Emerging Application / Conclusion
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
XII, 127 p.
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 9 mm
Weight
284 gr
ISBN-13
978-3-031-00754-5 (9783031007545)
DOI
10.1007/978-3-031-01882-4
Schweitzer Classification
Other editions
Additional editions

Amarnath Gupta | Ramesh Jain
Managing Event Information
E-Book
05/2022
Springer
€35.30
Available for download
Persons
Amarnath Gupta is a Research Scientist at the San Diego Supercomputer Center of University of California San Diego. His current research interests are in the area of emerging information systems that include graph data management, semantic information integration for scientific applications, ontological information management, information management in social networks, and the impact of high-performance computing platforms for information systems problems. Before UCSD, he was at Virage, a multimedia information system company, and at the Indian Statistical Institute, Kolkata, India. He is a member of the ACM.
Content
Introduction.- Event Data Models.- Implementing an Event Data Model.- Querying Events.- Storytelling with Events.- An Emerging Application.- Conclusion.