Image-Based Literal Node Matching for Linked Data Integration

Download Now
Provided by: Academy & Industry Research Collaboration Center
Topic: Big Data
Format: PDF
In this paper, the authors propose a method of identifying and aggregating literal nodes that have the same meaning in Linked Open Data (LOD) in order to facilitate cross-domain search. LOD has a graph structure in which most nodes are represented by Uniform Resource Identifiers (URIs), and thus LOD sets are connected and searched through different domains. However, 5% of the values are literal values (strings without URI) even in a de facto hub of LOD, DBpedia. In SPARQL Protocol and RDF Query Language (SPARQL) queries, they need to rely on regular expression to match and trace the literal nodes.
Download Now

Find By Topic