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Books > Computing & IT > Applications of computing > Databases > Web / Internet databases
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Experiential Knowledge Mining (Paperback)
Loot Price: R1,820
Discovery Miles 18 200
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Experiential Knowledge Mining (Paperback)
Series: Foundations and Trends (R) in Web Science
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Recent advances in Internet and Web technologies and the advent of
Web 2.0 have made it possible to share information and knowledge
surrounding human activities. These activities can be captured
through the intensive deployment of sensors and the Web resources.
Experiential Knowledge Mining provides a comprehensive overview of
mining experiential knowledge bearing on human activities, with an
emphasis on the use of the Web. Starting with definitions of
activities and experiences, it elaborates on various views of human
activities in cognitive science, including knowledge representation
schemes. It then describes two activity detection techniques
arising from different types of information sources: (1)
sensor-driven approaches for the physical space and (2) text-driven
approaches for the cyberspace. With a focus on experiential
knowledge of human activities that can be discovered from
unstructured text, Experiential Knowledge Mining reviews and
summarizes the existing body of literature on experiential
knowledge filtering, context identification for knowledge, and
knowledge distillation. There is no doubt that the vast amount of
information about human experience that includes activities is
going to help detecting, recognizing, and understanding human
activities of various sorts. This monograph illustrates the various
potential applications of experiential knowledge in different
domains like information retrieval, service recommendation, and
semantic web. Experiential Knowledge Mining is the first to take a
comprehensive look at this fascinating topic and acts as an ideal
primer for anyone who wants to delve deeper into this subject.
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