000 04060cam a2200613 i 4500
001 on1342622483
003 OCoLC
005 20240523125544.0
006 m o d
007 cr |n|||||||||
008 220831t20222022njuab ob 001 0 eng d
040 _aYDX
_beng
_erda
_cYDX
_dYDX
_dDG1
_dOCLCF
_dUKMGB
_dOCLCO
_dWSU
_dOCLCQ
015 _aGBC2L5686
_2bnb
016 7 _a020824870
_2Uk
020 _a9781119865322
_qelectronic book
020 _a1119865328
_qelectronic book
020 _a9781119865339
_qelectronic book
020 _a1119865336
_qelectronic book
020 _z1119864984
_qhardcover
020 _z9781119864981
_qhardcover
020 _a9781119865315
_qePub ebook
020 _a111986531X
029 1 _aAU@
_b000072997507
029 1 _aUKMGB
_b020824870
035 _a(OCoLC)1342622483
037 _a9781119865315
_bWiley, US
050 4 _aQA76.5913
_b.D38 2022
082 0 4 _a006
_223/eng/20221107
049 _aMAIN
245 0 0 _aData science with semantic technologies :
_btheory, practice, and application /
_cedited by Archana Patel, Narayan C. Debnath and Bharat Bhusan.
264 1 _aHoboken, NJ :
_bJohn Wiley & Sons, Inc. ;
_aBeverly, MA :
_bScrivener Publishing LLC,
_c2022.
264 4 _c�2022
300 _a1 online resource (xviii, 433 pages) :
_billustrations (chiefly color), color maps
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aAdvances in intelligent and scientific computing
504 _aIncludes bibliographical references and index.
588 _aDescription based on online resource; title from digital title page (viewed on November 07, 2022).
520 _aTo create intelligence in data science, it becomes necessary to utilize semantic technologies which allow machine-readable representation of data. This intelligence uniquely identifies and connects data with common business terms, and it also enables users to communicate with data. Instead of structuring the data, semantic technologies help users to understand the meaning of the data by using the concepts of semantics, ontology, OWL, linked data, and knowledge-graphs. These technologies help organizations to understand all the stored data, adding the value in it, and enabling insights that were not available before. As data is the most important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. Data Science with Semantic Technologies provides a roadmap for the deployment of semantic technologies in the field of data science. Moreover, it highlights how data science enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book provides answers to various questions like: Can semantic technologies be able to facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is knowledge data science? How does knowledge data science relate to other domains? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of researchers?
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aSemantic computing.
650 0 _aElectronic data processing.
650 6 _aInformatique s�emantique.
650 7 _aElectronic data processing
_2fast
650 7 _aSemantic computing
_2fast
700 1 _aPatel, Archana,
_eeditor.
700 1 _aDebnath, Narayan C.,
_eeditor.
700 1 _aBhusan, Bharat,
_eeditor.
776 0 8 _iPrint version:
_z1119864984
_z9781119864981
_w(OCoLC)1286950594
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119865339
938 _aYBP Library Services
_bYANK
_n18097309
994 _a92
_bINLUM
999 _c12915
_d12915