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EDBT
2016
ACM
106views Database» more  EDBT 2016»
10 years 1 months ago
Data Wrangling for Big Data: Challenges and Opportunities
Data wrangling is the process by which the data required by an application is identified, extracted, cleaned and integrated, to yield a data set that is suitable for exploration ...
Tim Furche, Georg Gottlob, Leonid Libkin, Giorgio ...
EDBT
2016
ACM
64views Database» more  EDBT 2016»
10 years 1 months ago
Summarizing Linked Data RDF Graphs Using Approximate Graph Pattern Mining
The Linked Open Data (LOD) cloud brings together information described in RDF and stored on the web in (possibly distributed) RDF Knowledge Bases (KBs). The data in these KBs are ...
EDBT
2016
ACM
43views Database» more  EDBT 2016»
10 years 1 months ago
Semi-automatic support for evolving functional dependencies
During the life of a database, systematic and frequent violations of a given constraint may suggest that the represented reality is changing and thus the constraint should evolve ...
EDBT
2016
ACM
40views Database» more  EDBT 2016»
10 years 1 months ago
Querying RDF Data Using A Multigraph-based Approach
RDF is a standard for the conceptual description of knowledge, and SPARQL is the query language conceived to query RDF data. The RDF data is cherished and exploited by various dom...
EDBT
2016
ACM
32views Database» more  EDBT 2016»
10 years 1 months ago
GSCALER: Synthetically Scaling A Given Graph
Enterprises and researchers often have datasets that can be represented as graphs (e.g. social networks). The owner of a large graph may want to scale it down to a smaller version...