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001			239159
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008			210710s2021 si | o |||| 0|eng d
020			_a9789811632532
024	7		_a10.1007/978-981-16-3253-2 _2doi
040			_aES-VaU _bspa _cES-VaU _dES-VaU
050		4	_aHD30.2 _b2021 EB
100	1		_aNakamori, Yoshiteru. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	0	_aKnowledge Technology : _bConverting Data and Information into Valuable Ideas _cby Yoshiteru Nakamori
250			_a1st ed. 2021.
264		1	_aSingapore _c2021 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringerBriefs in Business _x2191-5490
505	0		_a-Preface -- 1. Introduction -- 2. Defining Knowledge Technology -- 3. Integrative Knowledge Technologies -- 4. Converting Data/Knowledge into Information -- 5. Converting Information into Knowledge -- 6. Creating New Ideas from the Knowledge -- 7. Validating the Value of the New Ideas -- 8. Summary and Expectations.
520			_aThis book reviews creative technologies that underpin the human activities of converting data and information into knowledge, creating new ideas based on that knowledge, and validating those ideas. The book calls such creative technology "knowledge technology" and explores its challenges in the age of big data. Today, artificial intelligence and big data are successfully performing pattern recognition and decision making on behalf of humans, who are incapable of processing large amounts of information instantly and accurately. In using only past data, however, there are limits to future predictions with artificial intelligence and big data. Humans need to take the lead in predicting or creating the future by trying to understand why data emerged. Knowledge technology contributes to that understanding, regardless of the field of origin. As a matter of fact, knowledge technology includes many technologies developed in informatics, management study, and systems science. The desirable features of knowledge technology are the complementary use of rational and intuitive approaches, the integration of results from quantitative and qualitative analyses, and the cooperation between artificial intelligence and humans.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-3253-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Business_2021
999			_c239159 _d239159