Talks and Poster Presentations (with Proceedings-Entry):
L. Bellomarini, G. Gottlob, A. Pieris, E. Sallinger:
"Swift Logic for Big Data and Knowledge Graphs";
Talk: 26th International Joint Conference on Artificial Intelligence (IJCAI 2017),
Melbourne, Australia (invited);
2017-08-19
- 2017-08-25; in: "26th International Joint Conferences on Artificial Intelligence Organization",
(2017),
2
- 10.
English abstract:
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.
Keywords:
Knowledge;Representation;Reasoning;Logic;Computational;Complexity;Representation;Reasoning;Logic;Logics;Description;Ontologies
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.24963/ijcai.2017/1
Related Projects:
Project Head Reinhard Pichler:
Effiziente, parametrisierte Algorithmen in Künstlicher Intelligenz und logischem Schließen
Project Head Reinhard Pichler:
Heterogene Information Integration
Created from the Publication Database of the Vienna University of Technology.