Mapping between heterogeneous XML and OWL transaction representations in B2B integration
Data & Knowledge Engineering
Finding quality issues in SKOS vocabularies
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
Linked Data: Perspectives for IT Professionals
International Journal of Human Capital and Information Technology Professionals
Ranking Tagged Resources Using Social Semantic Relevance
International Journal of Information Retrieval Research
Focused crawling of tagged web resources using ontology
Computers and Electrical Engineering
Semantic technologies for multimedia content: foundations and applications
Proceedings of the 21st ACM international conference on Multimedia
Cognitive canonicalization of natural language queries using semantic strata
ACM Transactions on Speech and Language Processing (TSLP)
Interoperable context sharing in an ontology-enabled collaboration framework
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
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Semantic Web models and technologies provide information in machine-readable languages that enable computers to access the Web more intelligently and perform tasks automatically without the direction of users. These technologies are relatively recent and advancing rapidly, creating a set of unique challenges for those developing applications. Semantic Web for the Working Ontologist is the essential, comprehensive resource on semantic modeling, for practitioners in health care, artificial intelligence, finance, engineering, military intelligence, enterprise architecture, and more. Focused on developing useful and reusable models, this market-leading book explains how to build semantic content (ontologies) and how to build applications that access that content. New in this edition: Coverage of the latest Semantic Web tools for organizing, querying, and processing information - see details in TOC below Detailed information on the latest ontologies used in key web applications including ecommerce, social networking, data mining, using government data, and more Updated with the latest developments and advances in Semantic Web technologies for organizing, querying, and processing information, including SPARQL, RDF and RDFS, OWL 2.0, and SKOS Detailed information on the ontologies used in today's key web applications, including ecommerce, social networking, data mining, using government data, and more Even more illustrative examples and case studies that demonstrate what semantic technologies are and how they work together to solve real-world problemsTable of Contents1驴What Is The Semantic Web?2驴Semantic Modeling3驴RDF - The Basis of the Semantic Web4驴SPARQL - The Query Language for RDF5驴Semantic Web Application Architecture6驴RDF And Inferencing7驴RDF Schema Language8驴RDFS-Plus9驴SKOS - the Simple Knowledge Organization System10驴Ontologies in the Wild: Linked Open Data and the Open Graph Project11驴Basic OWL12驴Counting and Sets In OWL 13驴MORE Ontologies in the Wild: QUDT, GoodRelations, and OBO Foundry14驴Good and Bad Modeling Practices 15驴OWL 2.0 Levels and Logic16驴Conclusions17驴Frequently Asked Questions