Abstract: In this paper we present results from experiments for storing middle-size and large sets of RDF triples and quadruples by means of Natural Language Addressing. For experiments we have realized program RDFArM aimed to store RDF triples and quadruples in multi-layer hash tables (information spaces with variable size). The main features of program RDFArM are outlined in the paper. Analysis of the experimental results and rank-based multiple comparison are discussed.

Keywords: Natural Language Addressing; Rank-based Multiple Comparison

ACM Classification Keywords: H.2 Database Management; H.2.8 Database Applications

Link:

RDFARM - A SYSTEM FOR STORING LARGE SETS OF RDF TRIPLES AND QUADRUPLES BY MEANS OF NATURAL LANGUAGE ADDRESSING

Krassimira Ivanova

http://www.foibg.com/ijima/vol03/ijima03-04-p01.pdf