Name
Title | ||
|---|---|---|
Swift Logic for Big Data and Knowledge Graphs - Overview of Requirements, Language, and System. |
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. To this aim, we use specific suitable fragments from the Datalog(+/-) family of languages, and we introduce the vadalog system, which puts these swift logics into action. This system exploits the theoretical underpinning of relevant Datalog(+/-) languages and combines it with existing and novel techniques from database and AI practice. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-73117-9_1 | Lecture Notes in Computer Science |
Field | DocType | Volume |
Discrete mathematics,Knowledge graph,Swift,Computer science,Theoretical computer science,Big data | Conference | 10706 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.36 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luigi Bellomarini | 1 | 46 | 13.11 |
| Georg Gottlob | 2 | 9594 | 1103.48 |
| Andreas Pieris | 3 | 1177 | 64.25 |
| Emanuel Sallinger | 4 | 71 | 20.76 |