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Machine Knowledge - Creation and Curation of Comprehensive Knowledge Bases (Paperback)
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Machine Knowledge - Creation and Curation of Comprehensive Knowledge Bases (Paperback)
Series: Foundations and Trends (R) in Databases
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Equipping machines with comprehensive knowledge of the world's
entities and their relationships has been a longstanding goal of
AI. Over the last decade, large-scale knowledge bases, also known
as knowledge graphs, have been automatically constructed from web
contents and text sources, and have become a key asset for search
engines. This machine knowledge can be harnessed to semantically
interpret textual phrases in news, social media and web tables, and
contributes to question answering, natural language processing and
data analytics. This monograph surveys fundamental concepts and
practical methods for creating and curating large knowledge bases.
It covers models and methods for discovering and curating large
knowledge bases from online content, with emphasis on
semi-structured web pages with lists, tables etc., and unstructured
text sources. Case studies on academic projects and industrial
knowledge graphs complement the survey of concepts and methods. The
intended audience is students and researchers interested in a wide
spectrum of topics: from machine knowledge and data quality to
machine learning and data science as well as applications in web
content mining and natural language understanding. It will also be
of interest to industrial practitioners working on semantic
technologies for web, social media, or enterprise content.
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