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Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

L. Bellomarini, G. Gottlob, A. Pieris, E. Sallinger:
"Swift Logic for Big Data and Knowledge Graphs";
Vortrag: 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia (eingeladen); 19.08.2017 - 25.08.2017; in: "26th International Joint Conferences on Artificial Intelligence Organization", (2017), S. 2 - 10.



Kurzfassung englisch:
Many modern companies wish to maintain knowledge in the form of a corporate knowledge graph and to use and manage this knowledge via a knowledge graph management system (KGMS). We formulate various requirements for a fully fledged KGMS. In particular, such a system must be capable of performing complex reasoning tasks but, at the same time, achieve efficient and scalable reasoning over Big Data with an acceptable computational complexity. Moreover, a KGMS needs interfaces to corporate databases, the web, and machine-learning and analytics packages. We present KRR formalisms and a system achieving these goals.

Schlagworte:
Knowledge;Representation;Reasoning;Logic;Computational;Complexity;Representation;Reasoning;Logic;Logics;Description;Ontologies


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.24963/ijcai.2017/1



Zugeordnete Projekte:
Projektleitung Reinhard Pichler:
Effiziente, parametrisierte Algorithmen in Künstlicher Intelligenz und logischem Schließen

Projektleitung Reinhard Pichler:
Heterogene Information Integration


Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.