Matches in ScholarlyData for { ?s ?p ?o. }
- 331 abstract "In this paper we present a demo for efficient detecting of visitor’s attention in museum environment based on the application of intelligent complex event processing and semantic technologies. Semantics is used for the correlation of sensors’ data via modeling the interesting situation and the background knowledge used for annotation. Intelligent complex event processing enables the efficient real-time processing of sensor data and its logic-based nature supports a declarative definition of attention situations.".
- 331 hasAuthorList authorList.
- 331 isPartOf proceedings.
- 331 keyword "Complex Event Processing".
- 331 keyword "Human attention".
- 331 keyword "Ontologies".
- 331 keyword "Sensor".
- 331 title "A Demo for efficient human Attention Detection based on Semantics and Complex Event Processing".
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- item-1 hasContent yongchun-xu.
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- item-2 hasContent ljiljana-stojanovic.
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- item-3 hasContent nenad-stojanovic.
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- item-4 hasContent tobias-schuchert.
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- 349 creator arturs-sprogis.
- 349 creator guntis-barzdins.
- 349 creator julija-ovcinnikova.
- 349 creator karlis-cerans.
- 349 creator renars-liepins.
- 349 type InProceedings.
- 349 label "Domain-Specific OWL Ontology Visualization with OWLGrEd".
- 349 sameAs 349.
- 349 abstract "The OWLGrEd ontology editor allows graphical visualization and authoring of OWL 2.0 ontologies using a compact yet intuitive presentation that combines UML class diagram notation with textual Manchester syntax for expressions. We present an extension mechanism for OWLGrEd that allows adding custom information areas, rules and visual effects to the ontology presentation thus enabling domain specific OWL ontology visualizations. The usage of OWLGrEd and its extensions is demonstrated on ontology engineering examples involving custom annotation visualizations, advanced UML class dia-gram constructs and integrity constraints in semantic database schema design.".
- 349 hasAuthorList authorList.
- 349 isPartOf proceedings.
- 349 keyword "OWL".
- 349 keyword "OWLGrEd".
- 349 keyword "UML/OWL profile".
- 349 keyword "domain-specific ontology visualization".
- 349 keyword "integrity constraints".
- 349 keyword "semantic databases".
- 349 title "Domain-Specific OWL Ontology Visualization with OWLGrEd".
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- item-1 hasContent karlis-cerans.
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- item-2 hasContent renars-liepins.
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- item-3 hasContent arturs-sprogis.
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- item-4 hasContent julija-ovcinnikova.
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- item-5 hasContent guntis-barzdins.
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- 351 creator edouard-chevalier.
- 351 creator francois-paul-servant.
- 351 type InProceedings.
- 351 label "Product customization as Linked Data: demonstration".
- 351 sameAs 351.
- 351 abstract "Exposing data about customizable products is a challenging issue, because of the number of features and options a customer can choose from, and the many constraints that exist between them. These constraints are not tractable without automatic reasoning. But the configuration process, which helps a customer to make her choice, one step at a time, is a traversal of a graph of partially defined products - that is, Linked Data. This natural yet fruitful abstraction for product customization results in a generic configuration API, in use at Renault, who has begun publishing data about its range in this way. Current achievements and prototypes of forthcoming developments are presented.".
- 351 hasAuthorList authorList.
- 351 isPartOf proceedings.
- 351 keyword "GoodRelations".
- 351 keyword "Linked Data".
- 351 keyword "automotive".
- 351 keyword "configuration".
- 351 keyword "customizable product".
- 351 title "Product customization as Linked Data: demonstration".
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- item-1 hasContent francois-paul-servant.
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- item-2 hasContent edouard-chevalier.
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- 357 creator aman-goel.
- 357 creator craig-knoblock.