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It addresses limitations of current low-level methods that make construction repetitive and error-prone while hindering end-user involvement and sustainable, large-scale ontology maintenance. 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It also challenges generating sustainable large ontologies and efficiently maintaining them.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"What solution does the tutorial present?",{"text":114,"@type":110},"The tutorial introduces Reasonable Ontology Templates (OTTR) as an approach to support pattern-based ontology development. It emphasizes building and using shared template libraries.",{"name":116,"@type":107,"acceptedAnswer":117},"What topics are explicitly not covered in this tutorial?",{"text":118,"@type":110},"The tutorial states it is not about introducing semantic technologies like RDF, OWL, and SPARQL. 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Skjæveland Leif Harald Karlsen Daniel P. Lupp  \nWe start 13:05 CET.  \nWhile you wait, please ﬁll out this form: [http://tinyurl.com/ottr-iswc2020](http://tinyurl.com/ottr-iswc2020)  \nWho are we?  \nMartin G. Skjæveland, CS, researcher UiO. Leader of OTTR project. Ontology engineering, Ontology-based systems. Industrial experience from DNV-GL, and from managing industrial research projects.  \nLeif Harald Karlsen, CS, senior lecturer at UiO. Knowledge representation, semantic technologies, databases and programming languages.  \nDaniel Lupp, CS, postdoc at UiO. Ontology engineering, ontology-based data integration and logic programming.  \nTutorial scope  \n􀀏 Languages and tools for pattern-driven ontology development  \n􀀏 and its beneﬁts: better efﬁciency, quality for constructing, maintenance and use.  \n􀀏 Our solution and implementation: Reasonable Ontology Templates (OTTR)  \n􀀏 Building and using shared template libraries  \n􀀏 Use cases  \nTutorial scope  \n􀀏 Languages and tools for pattern-driven ontology development  \n􀀏 and its beneﬁts: better efﬁciency, quality for constructing, maintenance and use.  \n􀀏 Our solution and implementation: Reasonable Ontology Templates (OTTR)  \n􀀏 Building and using shared template libraries  \n􀀏 Use cases  \nNot about:  \n􀀏 Introducing semantic technologies: RDF, OWL, SPARQL, . . .  \n􀀏 Concrete ontology modelling problems  \n􀀏 The beneﬁts of ontologies and semantic technologies  \nTutorial plan  \n13:00–13:30 13:30–13:40 13:40–14:25 14:25–14:35 14:35–14:50 14:50–15:35 15:35–15:45  \n15:45–16:00  \nIntroduction  \nBreak  \nOTTR Fundamentals  \nBreak  \nThe Core OTTR Template Library Modeling in Practice  \nBreak  \nSummary and questions  \nTutorial plan  \n13:00–13:30 13:30–13:40 13:40–14:25 14:25–14:35 14:35–14:50 14:50–15:35 15:35–15:45  \n15:45–16:00  \nIntroduction  \nBreak  \nOTTR Fundamentals  \nBreak  \nThe Core OTTR Template Library Modeling in Practice  \nBreak  \nSummary and questions  \n􀀏 The schedule is tentative  \n􀀏 Ask questions during the presentations in the chat  \n􀀏 Each section will end with an open discussion  \nWho are you?  \nLet's look at the answers to the form you ﬁlled out!  \nTutorial: Pattern-based knowledge base  \nconstruction  \nMartin G. Skjæveland Leif Harald Karlsen Daniel P. Lupp  \nIntroduction  \nIntroduction  \nImproving the efﬁciency and quality of ontology engineering  \nProblem:  \n􀀏 Current ontology engineering methods are too low-level  \n􀀏 Makes ontology construction repetitive and error-prone  \n􀀏 Difﬁcult to engage end-users  \n􀀏 Difﬁcult to generate sustainable large ontologies  \n􀀏 Difﬁcult to efﬁciently maintain ontologies  \nIntroduction  \nImproving the efﬁciency and quality of ontology engineering  \nProblem:  \n􀀏 Current ontology engineering methods are too low-level  \n􀀏 Makes ontology construction repetitive and error-prone  \n􀀏 Difﬁcult to engage end-users  \n􀀏 Difﬁcult to generate sustainable large ontologies  \n􀀏 Difﬁcult to efﬁciently maintain ontologies  \nWe need:  \n􀀏 Abstractions!  \n􀀏 Capture and instantiate reoccurring modelling patterns  \n􀀏 Formats adapted to domain experts, data managers and ontology experts","cbCaicigiw0TSlX3","https://ap.wps.com/l/cbCaicigiw0TSlX3","pdf",3633900,178,"English","# Tutorial scope\n## Languages and tools for pattern-driven ontology development\n## Benefits and solution: Reasonable Ontology Templates (OTTR)\n## Building shared template libraries and use cases\n# Tutorial plan\n## Introduction and breaks\n## OTTR fundamentals\n## The core OTTR template library modeling in practice\n## Summary and questions","[{\"question\":\"What problem does the tutorial address in ontology engineering?\",\"answer\":\"Current ontology engineering methods are too low-level, causing repetitive, error-prone construction and making it difficult to engage end-users. It also challenges generating sustainable large ontologies and efficiently maintaining them.\"},{\"question\":\"What solution does the tutorial present?\",\"answer\":\"The tutorial introduces Reasonable Ontology Templates (OTTR) as an approach to support pattern-based ontology development. It emphasizes building and using shared template libraries.\"},{\"question\":\"What topics are explicitly not covered in this tutorial?\",\"answer\":\"The tutorial states it is not about introducing semantic technologies like RDF, OWL, and SPARQL. It also excludes concrete ontology modelling problems and a general discussion of the broad benefits of ontologies and semantic technologies.\"}]","Tutorial - Pattern-based knowledge base construction | PDF",1789220818,62]