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Current trends on knowledge-based systems / Giner Alor-Hernáandez, Rafael Valencia-García, editors.

Contributor(s): Alor-Hernández, Giner, (1977-), editor literario | Valencia-García, Rafael,, editor literario
Material type: materialTypeLabelE-bookSeries: (Intelligent systems reference library ; volume 120).Publisher: Cham : Springer, 2017Description: 1 recurso en línea.ISBN: 3319519050; 9783319519050.Subject: AlgoritmosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Preface; 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.
1.4.2 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.
2.5 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.
3.4.1 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.
4.6.1 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.
Abstract: This 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.76.E95 C877 2017 EB (Browse shelf(Opens below)) Acceso electrónico eBook.20023182
Total holds: 0

SpringerLink Springer Engineering eBooks 2017 English+International

Preface; 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.

1.4.2 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.

2.5 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.

3.4.1 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.

4.6.1 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.

This 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.

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