LUXLOGAI 2018: LUXEMBOURG LOGIC FOR AI SUMMIT

This page contains an index consisting of author-provided keywords.

B
Background Knowledge	Machine Learning with and for Knowledge Graphs
C
C-SPARQL	Engineering of Web Stream Processing Applications
cloud computing frameworks	Scalable Semantic Data Management
conditional random fields	Cold-start knowledge base population using ontology-based information extraction based on factor graph models
D
Data Complexity	Query answering and reasoning over probabilistic knowledge bases
data distribution strategy	Scalable Semantic Data Management
datalog	Reasoning at Scale
distributed query processing	Scalable Semantic Data Management
distributed RDF stores	Scalable Semantic Data Management
E
Efficiency	Efficient SPARQL queries on very large Knowledge Graphs
entity linking	Cold-start knowledge base population using ontology-based information extraction based on factor graph models
existential rules	Reasoning at Scale
F
federated RDF stores	Scalable Semantic Data Management
I
Incompleteness	Rule Induction and Reasoning over Knowledge Graphs
information extraction	Cold-start knowledge base population using ontology-based information extraction based on factor graph models
K
knowledge base population	Cold-start knowledge base population using ontology-based information extraction based on factor graph models
Knowledge Bases	Efficient SPARQL queries on very large Knowledge Graphs Reasoning at Scale
Knowledge Graphs	Rule Induction and Reasoning over Knowledge Graphs Machine Learning with and for Knowledge Graphs
M
Machine Learning	Machine Learning with and for Knowledge Graphs
P
Probabilistic Databases	Query answering and reasoning over probabilistic knowledge bases
Probabilistic Knowledge Bases Query Answering	Query answering and reasoning over probabilistic knowledge bases
Probabilistic Reasoning	Query answering and reasoning over probabilistic knowledge bases
R
rdf	Reasoning at Scale
RDF stream	Engineering of Web Stream Processing Applications
RDF Stream Processing	Engineering of Web Stream Processing Applications
reasoning	Reasoning at Scale
RSP-QL	Engineering of Web Stream Processing Applications
Rule Induction	Rule Induction and Reasoning over Knowledge Graphs
rule-based	Reasoning at Scale
S
scalability	Reasoning at Scale
Semantic Search	Efficient SPARQL queries on very large Knowledge Graphs
Semantic Web	Machine Learning with and for Knowledge Graphs
SPARQL+Text	Efficient SPARQL queries on very large Knowledge Graphs
Stream Processing	Engineering of Web Stream Processing Applications
Stream Reasoning	Engineering of Web Stream Processing Applications
systems	Reasoning at Scale
U
User Interfaces	Efficient SPARQL queries on very large Knowledge Graphs
V
VoCaLS	Engineering of Web Stream Processing Applications
W
Web	Engineering of Web Stream Processing Applications

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