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008			230613s2023 si | o |||| 0|eng d
020			_a9789819910755
024	7		_a10.1007/978-981-99-1075-5 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aHD30.2 _b2023 EB
245	0	0	_aKnowledge Technology and Systems : _bToward Establishing Knowledge Systems Science _cedited by Yoshiteru Nakamori
250			_a1st ed 2023
264		1	_aSingapore _c2023 _bSpringer International Publishing
300	0	0	_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aTranslational Systems Sciences _x2197-8840 _v34
505	0		_a1. 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			_aThis 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.
988			_aSpringer_Business_2023
650		7	_2embne _9518260 _aTecnología de la información
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-1075-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
998			_b06/2024 _db _ej _zSI