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This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches. Different methods are investigated in accordance with the criteria of the Ontology Alignment Evaluation Initiative (OAEI). The text also highlights promising developments and innovative guidelines, to further motivate researchers and practitioners in the field. Topics and features: Discusses the fundamentals and the latest developments in taxonomy matching, including the related fields of ontology matching and schema matching Reviews next-generation matching strategies, matching algorithms, matching systems, and OAEI campaigns, as well as alternative evaluations Examines how the latest techniques make use of different sources of background knowledge to enable precise matching between repositories Describes the theoretical background, state-of-the-art research, and practical real-world applications Covers the fields of dynamic taxonomies, personalized directories, catalog segmentation, and recommender systems This stimulating book is an essential reference for practitioners engaged in data science and business intelligence, and for researchers specializing in taxonomy matching and semantic similarity assessment. The work is also suitable as a supplementary text for advanced undergraduate and postgraduate courses on information and metadata management. Dr. Heiko Angermann is an e-commerce, enterprise content management, and omni/multi-channel consultant, and the Head of Project Management at an e-commerce consulting house located in Nuremberg, Germany. Prof. Naeem Ramzan is a full Professor of Computing Engineering in the School of Engineering and Computing at the University of West of Scotland, Paisley, UK. His other publications include the successful Springer title Social Media Retrieval.

Information resources management --- Corporations --- Information resource management --- Information systems management --- IRM (Information resources management) --- Security measures. --- Computer science. --- Management information systems. --- Data mining. --- Artificial intelligence. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Data Mining and Knowledge Discovery. --- Business Information Systems. --- Artificial Intelligence (incl. Robotics). --- Management --- Management information systems --- Optical pattern recognition. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Communication systems --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception

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The book comprises 17 chapters dealing with the following subjects: human-robot computing, sensing and networking; deep learning techniques; human manipulation modelling; autonomous robotic grasping; soft end-effectors; artificial intelligence; affective computing; emotion recognition; machine learning-based affect detection; human-horse interaction; robot intelligence; visual object tracking by quadrotor; artificial neural networks; fuzzy logic controller; predictive mobility management in cellular networks; data analytics; 5G and beyond-5G wireless networks; deep Q-network-based coverage hole detection; localization of ultrawide bandwidth sensor nodes; cascaded machine learning; indoor classification and localization; adaptive feature selection; EEG-based biometrics; template ageing; perceptual video quality metrics; multitask learning for autonomous driving; machine-learning-enabled ECG monitoring; early hyperkalaemia detection; deterministic compressed sensing; data reduction; connected health; large-scale distributed and scalable SOM-based architecture; surface water pollution monitoring; and Internet of Things

Cell phone systems. --- Clinical medicine --- Detectors. --- Computer programs. --- Sensors --- Engineering instruments --- Physical instruments --- Cellular radio --- Cellular radiotelephone systems --- Cellular systems (Telecommunication) --- Cellular telephone systems --- Mobile telephony --- Wireless telephone systems (Cell phone) --- Mobile communication systems --- Telephone systems --- 5G mobile communication. --- 5G mobile communication systems. --- 5G networks --- 5th Generation cellular mobile communications --- Fifth Generation wireless --- Wireless communication systems

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Social media is now ubiquitous on the internet, generating both new possibilities and new challenges in information analysis and retrieval. This comprehensive text/reference examines in depth the synergy between multimedia content analysis, personalization, and next-generation networking. The book demonstrates how this integration can result in robust, personalized services that provide users with an improved multimedia-centric quality of experience. Each chapter offers a practical step-by-step walkthrough for a variety of concepts, components and technologies relating to the development of applications and services. Topics and features: Provides contributions from an international and interdisciplinary selection of experts in their fields Introduces the fundamentals of social media retrieval, presenting the most important areas of research in this domain Examines the important topic of multimedia tagging in social environments, including geo-tagging Discusses issues of personalization and privacy in social media Reviews advances in encoding, compression and network architectures for the exchange of social media information Describes a range of applications related to social media Researchers and students interested in social media retrieval will find this book a valuable resource, covering a broad overview of state-of-the-art research and emerging trends in this area. The text will also be of use to practicing engineers involved in envisioning and building innovative social media applications and services.

Information retrieval --- Mathematical statistics --- Computer science --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- IR (information retrieval) --- factoranalyse --- sociale media --- computers --- informatica --- landbouw --- multimedia --- informatiesystemen --- computernetwerken --- computerkunde --- optica