Paper Info
Title
On benchmarking data translation systems for semantic-web ontologies
Abstract
Data translation, also known as data exchange, is an integration task that aims at populating a target model using data from a source model. This task is gaining importance in the context of semantic-web ontologies due to the increasing interest in graph databases and semantic-web agents. Currently, there are a variety of semantic-web technologies that can be used to implement data translation systems. This makes it difficult to assess them from an empirical point of view. In this paper, we present a benchmark that provides a catalogue of seven data translation patterns that can be instantiated by means of seven parameters. This allows us to create a variety of synthetic, domain-independent scenarios one can use to test existing data translation systems. We also illustrate how to analyse three such systems using our benchmark. The main benefit of our benchmark is that it allows to compare data translation systems side by side within a homogeneous framework.
Year
DOI
Venue
2011
10.1145/2063576.2063810
CIKM
Keywords
Field
DocType
integration task,existing data translation system,data translation pattern,data translation,semantic-web ontology,semantic-web technology,benchmarking data translation system,semantic-web agent,data translation system,data translation systems side,data exchange,semantic web
Ontology (information science),Data mining,Graph database,Data exchange,Information retrieval,Homogeneous,Computer science,Semantic Web,Source model,Data translation,Benchmarking
Conference
Citations 
PageRank 
References 
5
0.46
14
Authors
4
Name
Order
Citations
PageRank
Carlos R. Rivero111116.25
Inma Hernández27610.72
David Ruiz315220.62
Rafael Corchuelo438949.87