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Book
Semantic Applications : Methodology, Technology, Corporate Use
Authors: --- ---
ISBN: 366255433X 3662554321 Year: 2018 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer Vieweg,

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Abstract

This book describes methodologies for developing semantic applications. Semantic applications are software applications which explicitly or implicitly use the semantics, i.e. the meaning of a domain terminology, in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use. The authors are experts from industry and academia with experience in developing semantic applications. The Editors Thomas Hoppe works as Data Scientist and Knowledge Engineer. He is lecturer at the Computer Science Department of the Hochschule für Technik und Wirtschaft Berlin – University of Applied Sciences, Germany. In 2008 he founded, together with three associates, Ontonym GmbH. Furthermore, in 2014 he founded Datenlabor Berlin. Bernhard Humm is a professor at the Computer Science Department of Hochschule Darmstadt – University of Applied Sciences, Germany. He coordinates the Ph.D. programme and is the managing director of the institute of applied informatics, Darmstadt (aiDa). He is running several national and international research projects in co-operation with industry and research organizations. Anatol Reibold studied mathematics and mechanical engineering at the University of Novosibirsk. Currently he works as a supply chain analyst and business mathematician at Raiffeisen Waren-Zentrale Rhein-Main eG. He is also one of the co-founders of OntoPort and their chief data scientist.

Keywords

Semantic computing. --- Semantic Web. --- Big data. --- Computer science. --- Data mining. --- Information storage and retrieval. --- Artificial intelligence. --- Management information systems. --- Computer Science. --- Information Systems Applications (incl. Internet). --- Artificial Intelligence (incl. Robotics). --- Data Mining and Knowledge Discovery. --- Management of Computing and Information Systems. --- Information Storage and Retrieval. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- 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 --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Informatics --- Science --- Communication systems --- Data sets, Large --- Large data sets --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- World Wide Web --- Microformats --- Computer science --- Semantics --- Data sets --- Information Systems. --- Information storage and retrieva. --- Artificial Intelligence. --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- 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. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Computer and Information Systems Applications. --- IT Operations. --- Management. --- Data centers


Digital
Semantic applications : methodology, technology, corporate use
Authors: --- ---
ISBN: 9783662554333 9783662554333 Year: 2018 Publisher: Berlin Springer Vieweg

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book describes methodologies for developing semantic applications. Semantic applications are software applications which explicitly or implicitly use the semantics, i.e. the meaning of a domain terminology, in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use. The authors are experts from industry and academia with experience in developing semantic applications. The Editors Thomas Hoppe works as Data Scientist and Knowledge Engineer. He is lecturer at the Computer Science Department of the Hochschule für Technik und Wirtschaft Berlin – University of Applied Sciences, Germany. In 2008 he founded, together with three associates, Ontonym GmbH. Furthermore, in 2014 he founded Datenlabor Berlin. Bernhard Humm is a professor at the Computer Science Department of Hochschule Darmstadt – University of Applied Sciences, Germany. He coordinates the Ph.D. programme and is the managing director of the institute of applied informatics, Darmstadt (aiDa). He is running several national and international research projects in co-operation with industry and research organizations. Anatol Reibold studied mathematics and mechanical engineering at the University of Novosibirsk. Currently he works as a supply chain analyst and business mathematician at Raiffeisen Waren-Zentrale Rhein-Main eG. He is also one of the co-founders of OntoPort and their chief data scientist.

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