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Computational intelligence for seman...

Acampora, Giovanni.

Computational intelligence for semantic knowledge managementnew perspectives for designing and organizing information systems /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence for semantic knowledge managementedited by Giovanni Acampora ... [et al.].
其他題名:	new perspectives for designing and organizing information systems /
其他作者:	Acampora, Giovanni.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xviii, 135 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computational intelligence.
電子資源:	https://doi.org/10.1007/978-3-030-23760-8
ISBN:	9783030237608$q(electronic bk.)

Computational intelligence for semantic knowledge managementnew perspectives for designing and organizing information systems /
Computational intelligence for semantic knowledge managementnew perspectives for designing and organizing information systems /[electronic resource] :edited by Giovanni Acampora ... [et al.]. - Cham :Springer International Publishing :2020. - xviii, 135 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8371860-949X ;. - Studies in computational intelligence ;v. 216..

Natural Noise Management in Recommender Systems using Fuzzy Tools -- Combining Collaborative Filtering and Semantic-based Techniques to Recommend Components for Mashup Design -- Semantic Maps for Knowledge Management of Web and Social Information -- A Study on Local Search Meta-heuristics for Ontology Alignment -- Decision Tree Based Single Person Gesture Recognition -- Modiﬁed Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition -- Performance Analysis.

This book provides a comprehensive overview of computational intelligence methods for semantic knowledge management. Contrary to popular belief, the methods for semantic management of information were created several decades ago, long before the birth of the Internet. In fact, it was back in 1945 when Vannevar Bush introduced the idea for the first protohypertext: the MEMEX (MEMory + indEX) machine. In the years that followed, Bush's idea influenced the development of early hypertext systems until, in the 1980s, Tim Berners Lee developed the idea of the World Wide Web (WWW) as it is known today. From then on, there was an exponential growth in research and industrial activities related to the semantic management of the information and its exploitation in different application domains, such as healthcare, e-learning and energy management. However, semantics methods are not yet able to address some of the problems that naturally characterize knowledge management, such as the vagueness and uncertainty of information. This book reveals how computational intelligence methodologies, due to their natural inclination to deal with imprecision and partial truth, are opening new positive scenarios for designing innovative semantic knowledge management architectures.

ISBN: 9783030237608$q(electronic bk.)

Standard No.: 10.1007/978-3-030-23760-8doiSubjects--Topical Terms:

210824
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational intelligence for semantic knowledge managementnew perspectives for designing and organizing information systems /
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520 $a This book provides a comprehensive overview of computational intelligence methods for semantic knowledge management. Contrary to popular belief, the methods for semantic management of information were created several decades ago, long before the birth of the Internet. In fact, it was back in 1945 when Vannevar Bush introduced the idea for the first protohypertext: the MEMEX (MEMory + indEX) machine. In the years that followed, Bush's idea influenced the development of early hypertext systems until, in the 1980s, Tim Berners Lee developed the idea of the World Wide Web (WWW) as it is known today. From then on, there was an exponential growth in research and industrial activities related to the semantic management of the information and its exploitation in different application domains, such as healthcare, e-learning and energy management. However, semantics methods are not yet able to address some of the problems that naturally characterize knowledge management, such as the vagueness and uncertainty of information. This book reveals how computational intelligence methodologies, due to their natural inclination to deal with imprecision and partial truth, are opening new positive scenarios for designing innovative semantic knowledge management architectures.
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