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- Author: Kcap 2011 Conference Committee
- Publisher: ACM
- Year: 2012
- Pages: 214
- ISBN-10: 1450313892
- ISBN-13: 9781450313896
- Format: 21.6 x 27.9 x 1.1 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
KCAP 2011 Proceedings of the 2011 Conference on Knowledge Capture (e-book) (used book) | bookbook.eu
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Description
In today's knowledge-driven world, effective access to and use of information is a key enabler for progress. Modern technologies not only are themselves knowledge-intensive technologies, but also produce enormous amounts of new information that we must process and aggregate. These technologies require knowledge capture, which involve the extraction of useful knowledge from vast and diverse sources of information as well as its acquisition directly from users. Driven by the demands for knowledge-based applications and the unprecedented availability of information on the Web, the study of knowledge capture has a renewed importance. Researchers that work in the area of knowledge capture traditionally belong to several distinct research communities, including knowledge engineering, machine learning, natural language processing, human-computer interaction, artificial intelligence and the Semantic Web.
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- Author: Kcap 2011 Conference Committee
- Publisher: ACM
- Year: 2012
- Pages: 214
- ISBN-10: 1450313892
- ISBN-13: 9781450313896
- Format: 21.6 x 27.9 x 1.1 cm, softcover
- Language: English English
In today's knowledge-driven world, effective access to and use of information is a key enabler for progress. Modern technologies not only are themselves knowledge-intensive technologies, but also produce enormous amounts of new information that we must process and aggregate. These technologies require knowledge capture, which involve the extraction of useful knowledge from vast and diverse sources of information as well as its acquisition directly from users. Driven by the demands for knowledge-based applications and the unprecedented availability of information on the Web, the study of knowledge capture has a renewed importance. Researchers that work in the area of knowledge capture traditionally belong to several distinct research communities, including knowledge engineering, machine learning, natural language processing, human-computer interaction, artificial intelligence and the Semantic Web.
Reviews