Domain-Specific Knowledge Graph Construction - 9783030123741
Domain-Specific Knowledge Graph ConstructionAuthor(s): Mayank Kejriwal
Format: Paperback
Publisher: Springer Nature Switzerland AG, Switzerland
Imprint: Springer Nature Switzerland AG
ISBN-13: 9783030123741, 978-3030123741
Synopsis
The vast amounts of ontologically unstructured information on the Web, including HTML, XML and JSON documents, natural language documents, tweets, blogs, markups, and even structured documents like CSV tables, all contain useful knowledge that can present a tremendous advantage to the Artificial Intelligence community if extracted robustly, efficiently and semi-automatically as knowledge graphs. Domain-specific Knowledge Graph Construction (KGC) is an active research area that has recently witnessed impressive advances due to machine learning techniques like deep neural networks and word embeddings. This book will synthesize Knowledge Graph Construction over Web Data in an engaging and accessible manner.
The book describes a timely topic for both .
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Details:Domain-Specific Knowledge Graph Construction - 9783030123741
Domain-Specific Knowledge Graph ConstructionAuthor(s): Mayank Kejriwal
Format: Paperback
Publisher: Springer Nature Switzerland AG, Switzerland
Imprint: Springer Nature Switzerland AG
ISBN-13: 9783030123741, 978-3030123741
Synopsis
The vast amounts of ontologically unstructured information on the Web, including HTML, XML and JSON documents, natural language documents, tweets, blogs, markups, and even structured documents like CSV tables, all contain useful knowledge that can present a tremendous advantage to the Artificial Intelligence community if extracted robustly, efficiently and semi-automatically as knowledge graphs. Domain-specific Knowledge Graph Construction (KGC) is an active research area that has recently witnessed impressive advances due to machine learning techniques like deep neural networks and word embeddings. This book will synthesize Knowledge Graph Construction over Web Data in an engaging and accessible manner.
The book describes a timely topic for both .
Price now:
From
£47.41
To
£53.79
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Product Description
Domain-Specific Knowledge Graph ConstructionAuthor(s): Mayank Kejriwal
Format: Paperback
Publisher: Springer Nature Switzerland AG, Switzerland
Imprint: Springer Nature Switzerland AG
ISBN-13: 9783030123741, 978-3030123741
Synopsis
The vast amounts of ontologically unstructured information on the Web, including HTML, XML and JSON documents, natural language documents, tweets, blogs, markups, and even structured documents like CSV tables, all contain useful knowledge that can present a tremendous advantage to the Artificial Intelligence community if extracted robustly, efficiently and semi-automatically as knowledge graphs. Domain-specific Knowledge Graph Construction (KGC) is an active research area that has recently witnessed impressive advances due to machine learning techniques like deep neural networks and word embeddings. This book will synthesize Knowledge Graph Construction over Web Data in an engaging and accessible manner.
The book describes a timely topic for both .
Product Specifications
General | |
|---|---|
format | trade paperback |
Language | english |
series | springerbriefs in computer science ser. |
type | textbook |
Brand | Springer Nature Switzerland AG |
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