EAN: 9783030123741

SPRINGERBRIEFS IN COMPUTER SCIENCE DOMAIN-SPE...

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 early -and mid-career researchers. Every year  more papers continue to be
published on knowledge graph construction  especially for difficult Web domains. This book
serves as a useful reference  as well as an accessible but rigorous overview of this body of
work. The book presents interdisciplinary connections when possible to engage researchers
looking for new ideas or synergies. The book also appeals to practitioners in industry and data
scientists since it has chapters on both data collection  as well as a chapter on querying and
off-the-shelf implementations.

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