QUerying with InfoRAnk

Presentation

This evaluation concerns two RDF datasets: IMDb and MusicBrainz. For each dataset, we present:

• An overview of the RDF Schema, showing how instances of classes are connected together;
• A dump of the RDF dataset itself and the InfoRank triples, both using the Turtle syntax;
• A benchmark with keyword search queries and their expected results (adapted to our datasets);
• The results of our experiments using the QUIRA (QUerying with InfoRAnk) system;
• The thesis that originated this work, which contains a detailed description of QUIRA and InfoRank;
• A Github repository with the implementation of InfoRank and PageRank using SPARQL queries;
• Finally, the reference to cite this work.

RDF Schema

RDF Dataset (Turtle)

Benchmark

Experiments

Thesis

GitHub

Reference

Please reference the following publication when using this dataset or benchmark:

Menendez E.S., Casanova M.A., Paes Leme L.A.P., Boughanem M. (2019) Novel Node Importance Measures to Improve Keyword Search over RDF Graphs. In: Hartmann S., Küng J., Chakravarthy S., Anderst-Kotsis G., Tjoa A., Khalil I. (eds) Database and Expert Systems Applications. DEXA 2019. Lecture Notes in Computer Science, vol 11707. Springer, Cham.