東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Knowledge technology and systems = t...

Nakamori, Yoshiteru.

FindBook

Google Book

Amazon

博客來

Knowledge technology and systems = toward establishing knowledge systems science /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Knowledge technology and systems/ edited by Yoshiteru Nakamori.
其他題名:	toward establishing knowledge systems science /
其他作者:	Nakamori, Yoshiteru.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	ix, 287 p. :ill., digital ;24 cm.
內容註:	1. Defining Knowledge Technology and Systems -- 2. Big Data Analytics in Healthcare -- 3. Knowledge Discovery from Online Review -- 4. Machine Learning for Solving Unstructured Problems -- 5. Qualitative Modeling to Extract Knowledge for Problem Structuring -- 6. Agent-Based Simulation of Low Carbon Emissions Product Diffusion -- 7. Emotional Product Development: Concepts, Framework, and Methodologies -- 8. Knowledge Synthesis and Promotion -- 9. Group Decision Making.
Contained By:	Springer Nature eBook
標題:	Expert systems (Computer science) -
電子資源:	https://doi.org/10.1007/978-981-99-1075-5
ISBN:	9789819910755

Knowledge technology and systems = toward establishing knowledge systems science /
Knowledge technology and systemstoward establishing knowledge systems science /[electronic resource] :edited by Yoshiteru Nakamori. - Singapore :Springer Nature Singapore :2023. - ix, 287 p. :ill., digital ;24 cm. - Translational systems sciences,v. 342197-8840 ;. - Translational systems sciences ;v. 34..

1. Defining Knowledge Technology and Systems -- 2. Big Data Analytics in Healthcare -- 3. Knowledge Discovery from Online Review -- 4. Machine Learning for Solving Unstructured Problems -- 5. Qualitative Modeling to Extract Knowledge for Problem Structuring -- 6. Agent-Based Simulation of Low Carbon Emissions Product Diffusion -- 7. Emotional Product Development: Concepts, Framework, and Methodologies -- 8. Knowledge Synthesis and Promotion -- 9. Group Decision Making.

This book discusses technology and systems to create valuable ideas from data through the construction of knowledge. The primary concern is to make better decisions about economic and management issues in today's information-flooded society. Human creative activity is in the realm of soft technology, with no physical entity to operate. Focusing on the ability of knowledge as judgment power, this definition results: "Knowledge technology is soft technology that underpins the human creative activities of converting data and information into knowledge, creating new ideas based on that knowledge and validating those ideas." That definition includes a wide range of soft technologies developed in informatics, management studies, and systems science.The knowledge system creates ideas from data and knowledge through knowledge technologies. Based on the proposition that knowledge emerges by the interaction between explicit and tacit knowledge, another definition is possible: "The knowledge system is a system that promotes interaction between codified and personalized knowledge and creates ideas for solving a specific problem." Codified knowledge includes data and information, while personalized knowledge is empirical knowledge or wisdom that is difficult to put into words. Building a knowledge system requires mathematical or intelligent knowledge technology and participatory knowledge technology to create or manage codified knowledge and personalized knowledge. For example, a company builds cross-sectional knowledge systems by gathering human resources from various departments, according to the purpose, as in new product development or sales promotion. Chapter 1 defines knowledge technology and the knowledge system and organizes the challenges in their development, while Chapters 2 through 9 introduce mathematical or intelligent knowledge technologies by researchers at the forefront of knowledge technology development.

ISBN: 9789819910755

Standard No.: 10.1007/978-981-99-1075-5doiSubjects--Topical Terms:

527462
Expert systems (Computer science)

LC Class. No.: QA76.76.E95

Dewey Class. No.: 006.33

Knowledge technology and systems = toward establishing knowledge systems science /
LDR:03504nmm a2200337 a 4500 001 2318441
003 DE-He213
005 20230613133520.0
006 m d
007 cr nn 008maaau
008 230902s2023 si s 0 eng d
020 $a 9789819910755 $q (electronic bk.)
020 $a 9789819910748 $q (paper)
024 7 $a 10.1007/978-981-99-1075-5 $2 doi
035 $a 978-981-99-1075-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.E95
072 7 $a KJMV3 $2 bicssc
072 7 $a BUS083000 $2 bisacsh
072 7 $a KJMK $2 thema
082 0 4 $a 006.33 $2 23
090 $a QA76.76.E95 $b K73 2023
245 0 0 $a Knowledge technology and systems $h [electronic resource] : $b toward establishing knowledge systems science / $c edited by Yoshiteru Nakamori.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a ix, 287 p. : $b ill., digital ; $c 24 cm.
490 1 $a Translational systems sciences, $x 2197-8840 ; $v v. 34
505 0 $a 1. Defining Knowledge Technology and Systems -- 2. Big Data Analytics in Healthcare -- 3. Knowledge Discovery from Online Review -- 4. Machine Learning for Solving Unstructured Problems -- 5. Qualitative Modeling to Extract Knowledge for Problem Structuring -- 6. Agent-Based Simulation of Low Carbon Emissions Product Diffusion -- 7. Emotional Product Development: Concepts, Framework, and Methodologies -- 8. Knowledge Synthesis and Promotion -- 9. Group Decision Making.
520 $a This book discusses technology and systems to create valuable ideas from data through the construction of knowledge. The primary concern is to make better decisions about economic and management issues in today's information-flooded society. Human creative activity is in the realm of soft technology, with no physical entity to operate. Focusing on the ability of knowledge as judgment power, this definition results: "Knowledge technology is soft technology that underpins the human creative activities of converting data and information into knowledge, creating new ideas based on that knowledge and validating those ideas." That definition includes a wide range of soft technologies developed in informatics, management studies, and systems science.The knowledge system creates ideas from data and knowledge through knowledge technologies. Based on the proposition that knowledge emerges by the interaction between explicit and tacit knowledge, another definition is possible: "The knowledge system is a system that promotes interaction between codified and personalized knowledge and creates ideas for solving a specific problem." Codified knowledge includes data and information, while personalized knowledge is empirical knowledge or wisdom that is difficult to put into words. Building a knowledge system requires mathematical or intelligent knowledge technology and participatory knowledge technology to create or manage codified knowledge and personalized knowledge. For example, a company builds cross-sectional knowledge systems by gathering human resources from various departments, according to the purpose, as in new product development or sales promotion. Chapter 1 defines knowledge technology and the knowledge system and organizes the challenges in their development, while Chapters 2 through 9 introduce mathematical or intelligent knowledge technologies by researchers at the forefront of knowledge technology development.
650 0 $a Expert systems (Computer science) $3 527462
650 0 $a Information technology. $3 532993
650 1 4 $a Knowledge Management. $3 900242
650 2 4 $a Innovation and Technology Management. $3 3538485
650 2 4 $a Systems Theory, Control. $3 893834
650 2 4 $a Data Analysis and Big Data. $3 3538537
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Nakamori, Yoshiteru. $3 605622
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Translational systems sciences ; $v v. 34. $3 3633443
856 4 0 $u https://doi.org/10.1007/978-981-99-1075-5
950 $a Business and Management (SpringerNature-41169)