Revision of networks of ontologies with expansion, relaxation and generation starting with random network (4 agents; 10 runs; 10000 games; delete/replace/refine/add/addjoin/refadd)Designer: Jérôme Euzenat (INRIA) ()
Revision of networks of ontologies with expansion, relaxation and generation starting with random network (4 agents; 10 runs; 10000 games; delete/replace/refine/add/addjoin/refadd)
Hypotheses: Generating correspondences when needed should increase results quality (recall) with respect to expansion
Experimental setting: Same as 20180529-NOOR replaying the same runs as 20180308-NOOR after major code revision
Experimenter: Jérôme Euzenat (INRIA) (2019-05-25)
Date: 2019-05-25
Lazy lavender hash: be3123f56509760ba462284623794bfb6e750303
Classpath: lib/lazylav/ll.jar:lib/slf4j/logback-classic-1.2.3.jar:lib/slf4j/logback-core-1.2.3.jar:.
OS: stretch
Variation of: 20180529-NOOR
Parameters: params.sh
Command line (script.sh):
. params.sh
OUTPUT=${OUTPUT}${LABEL}
for op in ${OPS}
do
bash scripts/runexp.sh -p ${OUTPUT} -d ${DIRPREF}-${op}${postfix} java -Dlog.level=INFO -cp ${JPATH} fr.inria.exmo.lazylavender.engine.Monitor ${OPT} ${LOADOPT} -DrevisionModality=${op} ${PARAMS}
done
Class used: NOOEnvironment, AlignmentAdjustingAgent, AlignmentRevisionExperiment, ActionLogger, AverageLogger, Monitor
Execution environment: 24 * Intel(R) Xeon(R) CPU E5-2420 0 @ 1.90GHz with 20GB RAM / Linux 4.15.17-1-pve / Java(TM) SE Runtime Environment 1.8.0_151 with 4.33G max heap size
Input: Input required for reproducibility can be retrieved from: https://files.inria.fr/sakere/input/expeRun.zip Then unzip expeRun.zip -d input
4-10000-add-clever-nr.tsv 4-10000-add-clever-nr.txt 4-10000-addjoin-clever-nr.tsv 4-10000-addjoin-clever-nr.txt 4-10000-delete-clever-nr.tsv 4-10000-delete-clever-nr.txt 4-10000-refadd-clever-nr.tsv 4-10000-refadd-clever-nr.txt 4-10000-refine-clever-nr.tsv 4-10000-refine-clever-nr.txt 4-10000-replace-clever-nr.tsv 4-10000-replace-clever-nr.txt
Results are compared to those of 20180529-NOOR (dashed)
| test | success rate |
network size |
incoherence degree |
semantic precision |
semantic F-measure |
semantic recall |
maximum convergence |
|---|---|---|---|---|---|---|---|
| 4-10000-delete-clever-nr | 0.98 | 15 | 0.02 | 0.96 | 0.28 | 0.16 | 1502 |
| 4-10000-replace-clever-nr | 0.97 | 28 | 0.10 | 0.84 | 0.47 | 0.33 | 1958 |
| 4-10000-refine-clever-nr | 0.96 | 47 | 0.16 | 0.79 | 0.66 | 0.56 | 3409 |
| 4-10000-add-clever-nr | 0.96 | 47 | 0.24 | 0.71 | 0.66 | 0.62 | 2873 |
| 4-10000-addjoin-clever-nr | 0.98 | 53 | 0.26 | 0.67 | 0.67 | 0.67 | 2060 |
| 4-10000-refadd-clever-nr | 0.96 | 67 | 0.26 | 0.69 | 0.75 | 0.82 | 4621 |
Analyst: Jérôme Euzenat (INRIA) (2019-05-26/2019-08-26)
Key points:
Further experiments:
This file can be retrieved from URL https://sake.re/20190523-NOOR
It is possible to check out the repository by cloning https://felapton.inrialpes.fr/cakes/20190523-NOOR.git
This experiment has been transferred from its initial location at https://gforge.inria.fr (not available any more)
The original, unaltered associated zip file can be obtained from https://files.inria.fr/sakere/gforge/20190523-NOOR.zip