Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/707
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dc.contributor.authorHoppe, Thomas. ;en_US
dc.contributor.authorHumm, Bernhard. ;en_US
dc.contributor.authorReibold, Anatol. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:21:08Z-
dc.date.available2020-05-17T08:21:08Z-
dc.date.issued2018en_US
dc.identifier.isbn9783662554333 ;en_US
dc.identifier.isbn9783662554326 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/707-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783662554326. ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionQA76.76.A65 ;en_US
dc.description005.7 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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 fer Technik und Wirtschaft Berlin ee 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 ee 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. ;en_US
dc.description.statementofresponsibilityedited by Thomas Hoppe, Bernhard Humm, Anatol Reibold.en_US
dc.description.tableofcontentsIntroduction -- Ontology Development -- Compliance using Metadata -- Variety Management for Big Data -- Text Mining in Economics -- Generation of Natural Language Texts -- Sentiment Analysis -- Building Concise Text Corpora from Web Contents -- Ontology-Based Modelling of Web Content -- Personalized Clinical Decision Support for Cancer Care -- Applications of Temporal Conceptual Semantic Systems -- Context-Aware Documentation in the Smart Factory -- Knowledge-Based Production Planning for Industry 4.0 -- Information Exchange in Jurisdiction -- Supporting Automated License Clearing -- Managing cultural assets: Implementing typical cultural heritage archiveees usage scenarios via Semantic Web technologies -- Semantic Applications for Process Management -- Domain-Specific Semantic Search Applications. ;en_US
dc.format.extentXXV, 264 p. 130 illus., 114 illus. in color. ; online resource. ;en_US
dc.publisherSpringer Berlin Heidelberg :en_US
dc.publisherImprint: Springer Vieweg,en_US
dc.relation.haspart9783662554333.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectData Miningen_US
dc.subjectInformation Storage and Retrievalen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectManagement Information Systemsen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subjectManagement of Computing and Information Systems. ;en_US
dc.subjectInformation Storage and Retrieval. ;en_US
dc.titleSemantic Applicationsen_US
dc.title.alternativeMethodology, Technology, Corporate Use /en_US
dc.typeBooken_US
dc.publisher.placeBerlin, Heidelberg :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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9783662554333.pdf11.32 MBAdobe PDFThumbnail
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Full metadata record
DC FieldValueLanguage
dc.contributor.authorHoppe, Thomas. ;en_US
dc.contributor.authorHumm, Bernhard. ;en_US
dc.contributor.authorReibold, Anatol. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:21:08Z-
dc.date.available2020-05-17T08:21:08Z-
dc.date.issued2018en_US
dc.identifier.isbn9783662554333 ;en_US
dc.identifier.isbn9783662554326 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/707-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783662554326. ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionQA76.76.A65 ;en_US
dc.description005.7 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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 fer Technik und Wirtschaft Berlin ee 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 ee 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. ;en_US
dc.description.statementofresponsibilityedited by Thomas Hoppe, Bernhard Humm, Anatol Reibold.en_US
dc.description.tableofcontentsIntroduction -- Ontology Development -- Compliance using Metadata -- Variety Management for Big Data -- Text Mining in Economics -- Generation of Natural Language Texts -- Sentiment Analysis -- Building Concise Text Corpora from Web Contents -- Ontology-Based Modelling of Web Content -- Personalized Clinical Decision Support for Cancer Care -- Applications of Temporal Conceptual Semantic Systems -- Context-Aware Documentation in the Smart Factory -- Knowledge-Based Production Planning for Industry 4.0 -- Information Exchange in Jurisdiction -- Supporting Automated License Clearing -- Managing cultural assets: Implementing typical cultural heritage archiveees usage scenarios via Semantic Web technologies -- Semantic Applications for Process Management -- Domain-Specific Semantic Search Applications. ;en_US
dc.format.extentXXV, 264 p. 130 illus., 114 illus. in color. ; online resource. ;en_US
dc.publisherSpringer Berlin Heidelberg :en_US
dc.publisherImprint: Springer Vieweg,en_US
dc.relation.haspart9783662554333.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectData Miningen_US
dc.subjectInformation Storage and Retrievalen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectManagement Information Systemsen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subjectManagement of Computing and Information Systems. ;en_US
dc.subjectInformation Storage and Retrieval. ;en_US
dc.titleSemantic Applicationsen_US
dc.title.alternativeMethodology, Technology, Corporate Use /en_US
dc.typeBooken_US
dc.publisher.placeBerlin, Heidelberg :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783662554333.pdf11.32 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHoppe, Thomas. ;en_US
dc.contributor.authorHumm, Bernhard. ;en_US
dc.contributor.authorReibold, Anatol. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:21:08Z-
dc.date.available2020-05-17T08:21:08Z-
dc.date.issued2018en_US
dc.identifier.isbn9783662554333 ;en_US
dc.identifier.isbn9783662554326 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/707-
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783662554326. ;en_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionQA76.76.A65 ;en_US
dc.description005.7 ; 23 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis 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 fer Technik und Wirtschaft Berlin ee 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 ee 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. ;en_US
dc.description.statementofresponsibilityedited by Thomas Hoppe, Bernhard Humm, Anatol Reibold.en_US
dc.description.tableofcontentsIntroduction -- Ontology Development -- Compliance using Metadata -- Variety Management for Big Data -- Text Mining in Economics -- Generation of Natural Language Texts -- Sentiment Analysis -- Building Concise Text Corpora from Web Contents -- Ontology-Based Modelling of Web Content -- Personalized Clinical Decision Support for Cancer Care -- Applications of Temporal Conceptual Semantic Systems -- Context-Aware Documentation in the Smart Factory -- Knowledge-Based Production Planning for Industry 4.0 -- Information Exchange in Jurisdiction -- Supporting Automated License Clearing -- Managing cultural assets: Implementing typical cultural heritage archiveees usage scenarios via Semantic Web technologies -- Semantic Applications for Process Management -- Domain-Specific Semantic Search Applications. ;en_US
dc.format.extentXXV, 264 p. 130 illus., 114 illus. in color. ; online resource. ;en_US
dc.publisherSpringer Berlin Heidelberg :en_US
dc.publisherImprint: Springer Vieweg,en_US
dc.relation.haspart9783662554333.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectData Miningen_US
dc.subjectInformation Storage and Retrievalen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectManagement Information Systemsen_US
dc.subjectComputer Scienceen_US
dc.subjectInformation Systems Applicationsen_US
dc.subjectArtificial Intelligence and Roboticsen_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subjectManagement of Computing and Information Systems. ;en_US
dc.subjectInformation Storage and Retrieval. ;en_US
dc.titleSemantic Applicationsen_US
dc.title.alternativeMethodology, Technology, Corporate Use /en_US
dc.typeBooken_US
dc.publisher.placeBerlin, Heidelberg :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783662554333.pdf11.32 MBAdobe PDFThumbnail
Preview File