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1. The document discusses Optique 1.0, an ontology-based data access system that allows non-expert users to access data from multiple databases through a visualized query interface. 2. Optique 1.0 uses ontologies and declarative mappings to connect data sources, allowing queries to be formulated over ontologies and then pushed to and evaluated over the databases. 3. The system was tested on a real-world dataset from the oil and gas industry containing over 70 tables and 2.3 million triples extracted from databases into an ontology and triple store.
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Reproducible if Data=Same + Analysis=Same
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With the same ✨ environment
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Optique presentation
Optique - to provide semantic end-to-end connection between users and data sources; enable users to rapidly formulate intuitive queries using familiar vocabularies and conceptualisations and return timely answers from large scale and heterogeneous data sources.
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Optique - to provide semantic end-to-end connection between users and data sources; enable users to rapidly formulate intuitive queries using familiar vocabularies and conceptualisations and return timely answers from large scale and heterogeneous data sources.
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Abstract:
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SemFacet paper
Abstract:
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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- 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. 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!