找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computational Intelligence for Semantic Knowledge Management; New Perspectives for Giovanni Acampora,Witold Pedrycz,Autilia Vitiello Book 2

[复制链接]
查看: 44675|回复: 38
发表于 2025-3-21 18:51:32 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence for Semantic Knowledge Management
副标题New Perspectives for
编辑Giovanni Acampora,Witold Pedrycz,Autilia Vitiello
视频video
概述Provides a comprehensive overview of computational intelligence methods for semantic knowledge management.Covers both theoretical and application aspects.Written by leading experts in the field
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Computational Intelligence for Semantic Knowledge Management; New Perspectives for Giovanni Acampora,Witold Pedrycz,Autilia Vitiello Book 2
描述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 sc
出版日期Book 2020
关键词Computational Intelligence; Evolutionary Computation; Fuzzy Systems; Neural Networks; Ontologies; Ontolog
版次1
doihttps://doi.org/10.1007/978-3-030-23760-8
isbn_ebook978-3-030-23760-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

书目名称Computational Intelligence for Semantic Knowledge Management影响因子(影响力)




书目名称Computational Intelligence for Semantic Knowledge Management影响因子(影响力)学科排名




书目名称Computational Intelligence for Semantic Knowledge Management网络公开度




书目名称Computational Intelligence for Semantic Knowledge Management网络公开度学科排名




书目名称Computational Intelligence for Semantic Knowledge Management被引频次




书目名称Computational Intelligence for Semantic Knowledge Management被引频次学科排名




书目名称Computational Intelligence for Semantic Knowledge Management年度引用




书目名称Computational Intelligence for Semantic Knowledge Management年度引用学科排名




书目名称Computational Intelligence for Semantic Knowledge Management读者反馈




书目名称Computational Intelligence for Semantic Knowledge Management读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 23:01:40 | 显示全部楼层
发表于 2025-3-22 03:39:26 | 显示全部楼层
发表于 2025-3-22 06:00:58 | 显示全部楼层
发表于 2025-3-22 12:09:16 | 显示全部楼层
发表于 2025-3-22 16:30:17 | 显示全部楼层
发表于 2025-3-22 18:04:22 | 显示全部楼层
Empirical Evidence on Long-Term Competition,ted to the user profiles. These models are conceived for individual and group recommendation scenarios respectively, as a data preprocessing step before the recommendation generation. Two case studies are developed to show that the proposals lead to improvements in the accuracy of individual and group recommender systems.
发表于 2025-3-23 00:38:22 | 显示全部楼层
发表于 2025-3-23 02:52:01 | 显示全部楼层
Empirical Evidence on Long-Term Competition,aches, by using collaborative filtering techniques and semantic tagging, in order to rank mashups based on user goals. We have proven the validity of the proposed approach through experimental sessions based on data from the ProgrammableWeb repository.
发表于 2025-3-23 09:08:05 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-29 10:56
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表