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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 storage and retrieval systems. --- Social media. --- User-generated media --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer science. --- Computer communication systems. --- Information storage and retrieval. --- Multimedia information systems. --- User interfaces (Computer systems). --- Pattern recognition. --- Computer Science. --- Computer Communication Networks. --- Multimedia Information Systems. --- Pattern Recognition. --- User Interfaces and Human Computer Interaction. --- Information Systems Applications (incl. Internet). --- Information Storage and Retrieval. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Informatics --- Science --- Distributed processing --- Communication --- User-generated content --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Information Technology --- Computer Science (Hardware & Networks) --- Multimedia systems. --- Optical pattern recognition. --- Information storage and retrieva. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software
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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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