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Optique - poster

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Optique poster

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Optique - poster

  1. 1. 1.0 How to Find the Right Data?! Ontology Based Access to NPD FactPages Optique 1.0 Architecture ! Query Formulation Interface Visualisation System Interface Reasoner Reasoner Optique 1.0 Modules! default Use Case Partners know Big Data Bo0leneck: access to IT expert © Siemens AG © Harald Pettersen/Statoil Up to 80% time on data access Ontology Based Data Access! Triple Store
  2. 2. Consortium! Challenges in data access • Data access has to go via an IT expert • Miscommunica6on between end users and IT experts • IT experts have to write specialised queries for different DBs • Restricted crea6vity and explora6on capabili6es for end users Up to 70% time on data access Turnaround time: weeks Turnaround time: days 5 / 18 Ontology Visualisation Answer Visualisation Visual Query Formulation SPARQL Editor Ontology and Mapping Management Query Answering NPD FactPages Presentation Layer Application Layer Data Layer Expert users End users NPD FactPages Philosophy of OBDA • User is confronted to an ontology and not to databases • Ontology is connected to DBs via declara6ve mappings are formulated over the are pushed to DBs and evaluated over DBs Bootstrapped Ontology • 70 classes, 276 proper6es • 192 domain, range restr. • 10 subclass rela6ons Mappings • 346 direct mappings NPD FactPages • 70 tables, 276 at. names • 96 foreign keys • 46 MB RDB • 125 MB = 2.342.597 triples • Queries • Queries Ontology mappings Imported petro ontology • 209 classes • 131/229 ontology object/data prop. • 1271 axioms Op@que 1.0 Querying • Visual query formula6on interface • SPARQL end point Op@que 1.0 Query processing • Query rewri6ng over ontology • Query unfolding with mapping • Query execu6on over RDBs Op@que 1.0 Installa@on module • Ontology bootstrapping • Mapping bootstrapping • Ontology alignment • Ontology approxima6on HermiT Reasoner Optique 1.0 over NPD FactPages!

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