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subject_ss:"Ontologie <Wissensverarbeitung> / Semantic Web"
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- editor's%3a%22Coopmans%2c C. et al.%22 2
- editores%3a%22Coopmans%2c C. et al.%22 2
- editors%3a%22Coopmans%2c C. et al.%22 2
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Reasoning Web : Semantic Interoperability on the Web, 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures (2017)
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- Content
- Neumaier, Sebastian (et al.): Data Integration for Open Data on the Web - Stamou, Giorgos (et al.): Ontological Query Answering over Semantic Data - Calì, Andrea: Ontology Querying: Datalog Strikes Back - Sequeda, Juan F.: Integrating Relational Databases with the Semantic Web: A Reflection - Rousset, Marie-Christine (et al.): Datalog Revisited for Reasoning in Linked Data - Kaminski, Roland (et al.): A Tutorial on Hybrid Answer Set Solving with clingo - Eiter, Thomas (et al.): Answer Set Programming with External Source Access - Lukasiewicz, Thomas: Uncertainty Reasoning for the Semantic Web - Calvanese, Diego (et al.): OBDA for Log Extraction in Process Mining
- Editor
- Ianni, G. et al.
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Stuart, D.: Practical ontologies for information professionals (2016)
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- Content
- C H A P T E R 1 What is an ontology?; Introduction; The data deluge and information overload; Defining terms; Knowledge organization systems and ontologies; Ontologies, metadata and linked data; What can an ontology do?; Ontologies and information professionals; Alternatives to ontologies; The aims of this book; The structure of this book; C H A P T E R 2 Ontologies and the semantic web; Introduction; The semantic web and linked data; Resource Description Framework (RDF); Classes, subclasses and properties; The semantic web stack; Embedded RDF; Alternative semantic visionsLibraries and the semantic web; Other cultural heritage institutions and the semantic web; Other organizations and the semantic web; Conclusion; C H A P T E R 3 Existing ontologies; Introduction; Ontology documentation; Ontologies for representing ontologies; Ontologies for libraries; Upper ontologies; Cultural heritage data models; Ontologies for the web; Conclusion; C H A P T E R 4 Adopting ontologies; Introduction; Reusing ontologies: application profiles and data models; Identifying ontologies; The ideal ontology discovery tool; Selection criteria; Conclusion C H A P T E R 5 Building ontologiesIntroduction; Approaches to building an ontology; The twelve steps; Ontology development example: Bibliometric Metrics Ontology element set; Conclusion; C H A P T E R 6 Interrogating ontologies; Introduction; Interrogating ontologies for reuse; Interrogating a knowledge base; Understanding ontology use; Conclusion; C H A P T E R 7 The future of ontologies and the information professional; Introduction; The future of ontologies for knowledge discovery; The future role of library and information professionals; The practical development of ontologies
Subjects
- Artificial intelligence 1
- Computer Science 1
- Computer science 1
- Database management 1
- Information storage and retrieval 1
- Mathematical Logic and Formal Languages 1
- Mathematical logic 1
- OWL <Informatik> 1
- Ontologies (Information retrieval) 1
- RDF <Informatik> / Terminologische Logik 1
- Terminologische Logik 1
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Classifications
- 006.3/32 / dc23 1
- 06.74 (Informationssysteme) 1
- 54.72 (Künstliche Intelligenz) 1
- AN 93100 1
- SS 4800 1
- ST 300 1
- TK5105.88815 1
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