Ontologies and Big Data Considerations for Effective Intelligence

Nonfiction, Computers, Advanced Computing, Theory, Database Management, Reference & Language, Reference
Cover of the book Ontologies and Big Data Considerations for Effective Intelligence by , IGI Global
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Author: ISBN: 9781522520603
Publisher: IGI Global Publication: February 8, 2017
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781522520603
Publisher: IGI Global
Publication: February 8, 2017
Imprint: Information Science Reference
Language: English

Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas. Ontologies and Big Data Considerations for Effective Intelligence is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as visual analytics, spatial databases, retrieval systems, and ontology models, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.

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Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new methods and approaches to increase productivity in these areas. Ontologies and Big Data Considerations for Effective Intelligence is a key source on the latest advancements in multidisciplinary research methods and applications and examines effective techniques for managing and utilizing information resources. Featuring extensive coverage across a range of relevant perspectives and topics, such as visual analytics, spatial databases, retrieval systems, and ontology models, this book is ideally designed for researchers, graduate students, academics, and industry professionals seeking ways to optimize knowledge management processes.

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