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008			170315s2017 sz o 000 0 eng d
020			_a3319519050 _q(electronic bk.)
020			_a9783319519050 _q(electronic bk.)
020			_z3319519042
020			_z9783319519043
040			_aN$T _cN$T _dN$T _dGW5XE _dEBLCP _dYDX _dOCLCF _dUAB _dAZU _dIOG _dCOO _dUPM _dMERER _dESU _dOCLCQ _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dNTD _dU3W _dES-MaUEC _bspa
050		4	_aQA76.76.E95 _bC877 2017 EB
245	0	0	_aCurrent trends on knowledge-based systems _cGiner Alor-Hernáandez, Rafael Valencia-García, editors.
264		1	_aCham _bSpringer _c2017.
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aIntelligent systems reference library _vvolume 120
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
505	0		_aPreface; Acknowledgements; Contents; Contributors; List of Figures; List of Tables; Semantic Web Applications; 1 im4Things: An Ontology-Based Natural Language Interface for Controlling Devices in the Internet of Things; Abstract; 1.1 Introduction; 1.2 Related Works; 1.3 im4Things System; 1.3.1 im4Things App; 1.3.1.1 Bot Configuration; 1.3.1.2 Instant Messaging; 1.3.2 im4Things Cloud Service; 1.3.2.1 im4Things API; 1.3.2.2 Communication Management; 1.3.2.3 Security; 1.3.2.4 Understanding Module; 1.3.3 im4Things Bot; 1.3.3.1 Conversational Agent; 1.4 Evaluation and Results; 1.4.1 Subjects.
505	8		_a1.4.2 Procedure1.4.3 Results; 1.4.4 Discussion; 1.5 Conclusions and Future Research; Acknowledgements; References; 2 Knowledge-Based Leisure Time Recommendations in Social Networks; Abstract; 2.1 Introduction; 2.2 Related Work; 2.3 Social Networking, Semantics and QoS Foundations; 2.3.1 Influence in Social Networks; 2.3.2 Leisure Time Places Semantic Information and Similarity; 2.3.3 Physical Distance-Based and Thematic-Based Location Similarity; 2.3.4 Leisure Time Places QoS Information; 2.3.5 User's Profile for Enabling Recommendations; 2.4 The Leisure Time Recommendation Algorithm.
505	8		_a2.5 Experimental Evaluation2.5.1 Determining the Number of Influencers; 2.5.2 Estimating the Taxonomy Level of Places Categories of Interest per User; 2.5.3 Interest Probability Threshold; 2.5.4 Recommendation Formulation Time; 2.5.5 User Satisfaction; 2.6 Conclusions and Future Work; References; 3 An Ontology Based System for Knowledge Profile Management; Abstract; 3.1 Introduction; 3.2 Theoretical Background; 3.3 State of the Art; 3.3.1 Ontologies for Knowledge Management; 3.3.2 Ontologies for Users' Profile Management; 3.4 An Ontology for Knowledge Profile Management.
505	8		_a3.4.1 Development of the Ontology3.4.1.1 Specification; 3.4.1.2 Conceptualization; 3.5 Results; 3.5.1 The Case Study; 3.5.2 Ontology Implementation; 3.5.2.1 Determination of Base Components; 3.5.2.2 Detailed Definition of Base Components; 3.5.2.3 Normalization; 3.6 Discussion and Conclusion; Acknowledgements; References; 4 Sentiment Analysis Based on Psychological and Linguistic Features for Spanish Language; Abstract; 4.1 Introduction; 4.2 Related Work; 4.3 Corpus; 4.4 LIWC and Stylometric Variables; 4.5 Machine Learning Approach; 4.6 Experiment.
505	8		_a4.6.1 Combination of LIWC Dimensions and Stylometric Dimension4.6.2 Text Analysis with LIWC and WordSmith; 4.6.3 Training a Machine Learning Algorithm and Validation Test; 4.7 Evaluation and Results; 4.7.1 Results for the Tourism Corpus; 4.8 Discussion of Results; 4.8.1 Comparison; 4.9 Conclusion and Future Work; Acknowledgements; References; Knowledge Acquisition and Representation; 5 Knowledge-Based System in an Affective and Intelligent Tutoring System; Abstract; 5.1 Introduction; 5.2 Related Work; 5.3 Fermat Architecture and ITS Knowledge Representation; 5.3.1 The System Archetypes.
520	3		_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		7	_aAlgoritmos _2embne _0(OCoLC)fst00805020 _0 _9141162
700	1		_aAlor-Hernández, Giner, _d1977- _eeditor literario
700	1		_aValencia-García, Rafael, _eeditor literario _934312
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-51905-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017C
998			_b02/2018 _dz _e- _zSI
999			_c95577 _d95577 _x1