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Linked data. --- Data, Linked --- Library linked data --- Linked open data --- LOD (Linked data) --- Open linked data --- Open data, Linked --- Metadata --- Semantic Web --- Uniform Resource Identifiers --- Linked data --- E-books
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Linked data. --- Querying (Computer science) --- Database interrogation --- Interrogation of databases --- Database searching --- Reporting (Computer science) --- WHOIS (Computer network protocol) --- Data, Linked --- Library linked data --- Linked open data --- LOD (Linked data) --- Open linked data --- Open data, Linked --- Metadata --- Semantic Web --- Uniform Resource Identifiers
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Library automation --- Computer architecture. Operating systems --- Information systems --- Linked data. --- Uniform Resource Identifiers. --- Identifiers, Uniform Resource --- Resource Identifiers, Uniform --- URIs (Uniform Resource Identifiers) --- Computer network resources --- Linked data --- Data, Linked --- Library linked data --- Linked open data --- LOD (Linked data) --- Open linked data --- Open data, Linked --- Metadata --- Semantic Web --- Uniform Resource Identifiers
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This book shows you how to harness the power of linked data and web-scale discovery systems to manage and link widely varied content across your library collection. Libraries are increasingly using web-scale discovery systems to help clients find a wide assortment of library materials, including books, journal articles, special collections, archival collections, videos, music and open access collections. Depending on the library material catalogued, the discovery system might need to negotiate different metadata standards, such as AACR, RDA, RAD, FOAF, VRA Core, METS, MODS, RDF and more.
Information systems --- Information retrieval --- Library automation --- Metadata --- Linked data. --- Online library catalogs. --- Cataloging. --- Métadonnées --- Données liées --- Catalogues de bibliothèques en ligne --- Catalogage --- Management --- Gestion --- Management. --- Métadonnées --- Données liées --- Catalogues de bibliothèques en ligne --- Bibliotheekautomatisering --- Informatiesystemen --- Cataloguing --- Information organization --- Technical services (Libraries) --- Books --- Catalogs, On-line --- Library online catalogs --- On-line catalogs (Libraries) --- Online catalogs --- Online public access catalogs (Libraries) --- OPACs (Libraries) --- Library catalogs --- Online information services --- Data about data --- Meta-data --- Data, Linked --- Library linked data --- Linked open data --- LOD (Linked data) --- Open linked data --- Open data, Linked --- Semantic Web --- Uniform Resource Identifiers --- Discovery tools. --- Discovery systems. --- Information management.
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The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 28th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of six papers presented at the 26th International Conference on Database- and Expert-Systems Applications, DEXA 2015, held in Valencia, Spain, in September 2015. Topics covered include efficient graph processing, machine learning on big data, multistore big data integration, ontology matching, and the optimization of histograms for the Semantic Web.
Computer science. --- Algorithms. --- Database management. --- Data mining. --- Information storage and retrieval. --- Artificial intelligence. --- Computer Science. --- Database Management. --- Data Mining and Knowledge Discovery. --- Artificial Intelligence (incl. Robotics). --- Information Storage and Retrieval. --- Information Systems Applications (incl. Internet). --- Algorithm Analysis and Problem Complexity. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- 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 --- Algorism --- Informatics --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Database searching --- Algebra --- Arithmetic --- Science --- Foundations --- Information storage and retrieva. --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Computer systems --- 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 --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Expert systems (Computer science) --- Big data --- Database management --- Linked data --- Data, Linked --- Library linked data --- Linked open data --- LOD (Linked data) --- Open linked data --- Open data, Linked --- Metadata --- Semantic Web --- Uniform Resource Identifiers --- Data sets, Large --- Large data sets --- Data sets --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software
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