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Practical Ontologies for Information Professionals provides an accessible introduction and exploration of ontologies and demonstrates their value to information professionals. More data and information is being created than ever before. Ontologies, formal representations of knowledge with rich semantic relationships, have become increasingly important in the context of today's information overload and data deluge. The publishing and sharing of explicit explanations for a wide variety of conceptualizations, in a machine readable format, has the power to both improve information retrieval and discover new knowledge. Information professionals are key contributors to the development of new, and increasingly useful, ontologies.

Library automation --- Knowledge representation (Information theory) --- Ontologies (Information retrieval) --- Information retrieval. --- Semantic networks (Information theory) --- Information organization. --- Ontologies (Recherche de l'information) --- Recherche de l'information --- Représentation des connaissances --- Réseaux sémantiques --- Organisation de l'information --- Représentation des connaissances --- Réseaux sémantiques --- Data structures (Computer science)

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Database management --- Ontologies (Information retrieval) --- Information storage and retrieval systems --- Bases de données --- Ontologies (Recherche de l'information) --- Systèmes d'information --- Congresses. --- Gestion --- Congrès --- Computer Science --- Engineering & Applied Sciences --- Data structures (Computer science) --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Computer science. --- Data structures (Computer science). --- Database management. --- Computer Science. --- Data Structures, Cryptology and Information Theory. --- Database Management. --- Data Structures. --- Information Systems Applications (incl. Internet). --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Informatics --- Science --- Data structures (Computer scienc. --- Data Structures and Information Theory. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Information theory. --- Artificial intelligence—Data processing. --- Data Science. --- Computer and Information Systems Applications. --- Communication theory --- Communication --- Cybernetics

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This book covers in a great depth the fast growing topic of tools, techniques and applications of soft computing (e.g., fuzzy logic, genetic algorithms, neural networks, rough sets, Bayesian networks, and other probabilistic techniques) in the ontologies and Semantic Web. How components of the Semantic Web (like the RDF, Description Logics, ontologies) can be covered with a soft computing focus is shown. The book aims to provide a single account of current studies in soft computing approaches to the ontologies and the Semantic Web. The objective of the book is to provide the state of the art information to researchers, practitioners, and graduate students of the Web intelligence, and at the same time serving the information technology professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.

Soft computing. --- Ontologies (Information retrieval) --- Semantic Web. --- Fuzzy logic. --- Informatique douce --- Ontologies (Recherche de l'information) --- Web sémantique --- Logique floue --- Electronic books. -- local. --- Ontologies (Information retrieval). --- Soft computing --- Semantic Web --- Fuzzy logic --- Civil Engineering --- Computer Science --- Applied Mathematics --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Nonlinear logic --- Engineering. --- Computers. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Information Systems Applications (incl. Internet). --- Computing Methodologies. --- Applications of Mathematics. --- Fuzzy mathematics --- Logic, Symbolic and mathematical --- Fuzzy systems --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats --- Data structures (Computer science) --- Cognitive computing --- Electronic data processing --- Computational intelligence --- Mathematics. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering --- Engineering analysis --- Mathematical analysis --- Math --- Science --- Mathematics --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko’s book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, artificial intelligence. With Ontology Matching, researchers and practitioners will find a reference book which presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a detailed account of matching techniques and matching systems in a systematic way from theoretical, practical and application perspectives.

Ontologies (Information retrieval) --- Semantic integration (Computer systems) --- Ontologies (Recherche de l'information) --- Intégration sémantique (Systèmes informatiques) --- Ontologies (Information retrieval). --- Semantic integration (Computer systems). --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Telecommunications --- Computer Science --- Intégration sémantique (Systèmes informatiques) --- EPUB-LIV-FT LIVINFOR SPRINGER-B --- Integration, Semantic (Computer systems) --- Computer science. --- Information technology. --- Business --- Computer programming. --- Information storage and retrieval. --- Artificial intelligence. --- E-commerce. --- Computer Science. --- Programming Techniques. --- Information Storage and Retrieval. --- Information Systems Applications (incl. Internet). --- Artificial Intelligence (incl. Robotics). --- IT in Business. --- e-Commerce/e-business. --- Data processing. --- Data structures (Computer science) --- Integrated software --- Semantic computing --- Information storage and retrieva. --- Artificial Intelligence. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- 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 --- Informatics --- Science --- Information storage and retrieval systems. --- 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 systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Application software. --- Business—Data processing. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Cybercommerce --- E-business --- E-commerce --- E-tailing --- eBusiness --- eCommerce --- Electronic business --- Internet commerce --- Internet retailing --- Online commerce --- Web retailing --- Commerce --- Programming