Paper Info
Title
Entity Comparison in RDF Graphs.
Abstract
In many applications, there is an increasing need for the new types of RDF data analysis that are not covered by standard reasoning tasks such as SPARQL query answering. One such important analysis task is entity comparison, i.e., determining what are similarities and differences between two given entities in an RDF graph. For instance, in an RDF graph about drugs, we may want to compare Metamizole and Ibuprofen and automatically find out that they are similar in that they are both analgesics but, in contrast to Metamizole, Ibuprofen also has a considerable anti-inflammatory effect. Entity comparison is a widely used functionality available in many information systems, such as universities or product comparison websites. However, comparison is typically domain-specific and depends on a fixed set of aspects to compare. In this paper, we propose a formal framework for domain-independent entity comparison over RDF graphs. We model similarities and differences between entities as SPARQL queries satisfying certain additional properties, and propose algorithms for computing them.
Year
DOI
Venue
2017
10.1007/978-3-319-68288-4_31
Lecture Notes in Computer Science
Field
DocType
Volume
Information system,Data mining,Information retrieval,Computer science,SPARQL,RDF Schema,RDF/XML,RDF,Rdf graph
Conference
10587
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
14
4
Name
Order
Citations
PageRank
Alina Petrova194.29
Evgeny Sherkhonov2487.29
Bernardo Cuenca Grau33651221.39
Ian Horrocks4117311086.65