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001			239258
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007			cr nn 008mamaa
008			210705s2021 si | o |||| 0|eng d
020			_a9789811629303
024	7		_a10.1007/978-981-16-2930-3 _2doi
040			_aES-VaU _bspa _cES-VaU _dES-VaU
050		4	_aHF4999.2-6182 _b2021 EB
100	1		_aKim, Jieun. _eautor. _0(orcid)0000-0001-8656-6387 _1https://orcid.org/0000-0001-8656-6387 _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	0	0	_aPatent Analytics : _bTransforming IP Strategy into Intelligence _cby Jieun Kim, Buyong Jeong, Daejung Kim
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
505	0		_aIntroduction -- Part I: Data. Emergence of Patent Big Data -- Chapter 1 Patent as Big Data? -- Chapter 2 Significant Points in the History of Patents -- Chapter 3 Understanding Patent Data -- Part II. Network: Patent Network Visualization -- Chapter 4 Prelude to the Era of Patent Data Visualization -- Chapter 5 Effective Visual Mapping of Patent Data -- Chapter 6 The Power of Patent Citation Networks -- Chapter 7 A Complete Guide to Patent Network Visualization -- Part III Analytics: Uncharted Corporate Innovations -- Chapter 8 Dyson, From Bladeless Fan to Hair Dryer -- Chapter 9 Bose's Beyond Sound -- Chapter 10 Innovation Assimilation of M&As in Adobe. -- Chapter 11 Network Patterns of Inventor Collaboration: Google vs. Apple -- Chapter 12 Samsung vs. LG, Map of the Competitive Landscape -- Perspectives The Renaissance of Innovation Analytics with AI -- Chapter 13 Is Trademark the First Sparring Partner of AI? -- Chapter 14 New Patent or Not? From Search to Legal Automation -- Chapter 15 Legal Technologies in Action -- Afterword.
520			_aThrough the prisms of a data scientist, a patent attorney, and a designer, this book demystifies the complexity of patent data and its structure and reveals their hidden connections by employing elaborate data analytics and visualizations using a network map. This book provides a practical guide to introduce and apply patent network analytics and visualization tools in your business. We incorporate case studies from renowned companies such as Apple, Dyson, Adobe, Bose, Samsung and more, to scrutinise how their underlying values of patent network drive innovation in their business. Finally, this book advances readers' perspective of patent gazettes as big data and as a tool for innovation analytics when coupled with Artificial Intelligence.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-2930-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Business_2021
999			_c239258 _d239258