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.