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020 _a9783319519050
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024 7 _a10.1007/978-3-319-51905-0
_2doi
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_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aCurrent Trends on Knowledge-Based Systems
_h[electronic resource] /
_cedited by Giner Alor-Hernández, Rafael Valencia-García.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXXIV, 290 p. 86 illus., 58 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v120
505 0 _aim4Things: An Ontology-based Natural Language Interface for controlling devices in the Internet of Things -- Knowledge-Based Leisure Time Recommendations in Social Networks -- An Ontology based System for Knowledge Profile Management: A Case Study in the Electric Sector -- Sentiment Analysis based on Psychological and Linguistic Features for Spanish language -- Knowledge-based System in an Affective and Intelligent Tutoring System -- A software strategy for knowledge transfer in a pharmaceutical distribution company -- GEODIM: A semantic model-based system for 3D recognition of industrial scenes -- Beyond Interoperability in Critical Systems Engineering -- Knowledge-based Decision Support Systems for Personalized u-lifecare Big Data Services -- Decision support system for operational risk management in supply chain with 3PL providers -- Assessment of Ergonomic Compatibility on the Selection of Advanced Manufacturing Technology -- Developing Geo-recommender systems for Industry -- Evaluation of Denoising Methods in the Spatial Do-main for Medical Ultrasound Imaging Applications.
520 _aThis book presents innovative and high-quality research on the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models for developing advanced knowledge-based systems and their application in different fields, including Agriculture, Education, Automotive, Electrical Industry, Business Services, Food Manufacturing, Energy Services, Medicine and others. Knowledge-based technologies employ artificial intelligence methods to heuristically address problems that cannot be solved by means of formal techniques. These technologies draw on standard and novel approaches from various disciplines within Computer Science, including Knowledge Engineering, Natural Language Processing, Decision Support Systems, Artificial Intelligence, Databases, Software Engineering, etc. As a combination of different fields of Artificial Intelligence, the area of Knowledge-Based Systems applies knowledge representation, case-based reasoning, neural networks, Semantic Web and TICs used in different domains. The book offers a valuable resource for PhD students, Master’s and undergraduate students of Information Technology (IT)-related degrees such as Computer Science, Information Systems and Electronic Engineering. .
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aAlor-Hernández, Giner.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_957430
700 1 _aValencia-García, Rafael.
_eeditor.
_0(orcid)0000-0003-2457-1791
_1https://orcid.org/0000-0003-2457-1791
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_4http://id.loc.gov/vocabulary/relators/edt
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319519043
776 0 8 _iPrinted edition:
_z9783319519067
776 0 8 _iPrinted edition:
_z9783319847757
830 0 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v120
_957433
856 4 0 _uhttps://doi.org/10.1007/978-3-319-51905-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79941
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