Designer: Jérôme Euzenat (INRIA) (2018-09-13)
Revision of networks of ontologies with strenghening on longer span (4 agents; 10 runs; 20000 games; delete/replace/refine/add/addjoin/refadd)
Hypotheses: Strenghening with refadd, relaxation, expansion, generation reaches 100% recall
Experimental setting: Same as 20180828-NOOR on 20000 games (and only on those run involving expansion, generation and relaxation).
Experimenter: Jérôme Euzenat (INRIA) (2018-09-13)
Date: 2018-09-13
Lazy lavender hash: 759ff097b96520c12aa84f3749927f9a22022e62
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: 20180828-NOOR
Parameters: params.sh
Command line (script.sh):
. params.sh
OUTPUT=${OUTPUT}${LABEL}
# bash scripts/runexp.sh -p ${OUTPUT} -d ${DIRPREF}-nothing java -Dlog.level=INFO -cp ${JPATH} fr.inria.exmo.lazylavender.engine.Monitor ${OPT} -DrevisionModality=nothing -DsaveDir=input/expeRun2 -DsaveGames -DloadDir=input/expeRun2 -DloadEnv -DloadAgents
for op in ${OPS}
do
bash scripts/runexp.sh -p ${OUTPUT} -d ${DIRPREF}-${op}-clever-nr-im80-gen-strgen java -Dlog.level=INFO -cp ${JPATH} fr.inria.exmo.lazylavender.engine.Monitor ${OPT} ${LOADOPT} -DrevisionModality=${op} -DexpandAlignments=clever -DnonRedundancy -DimmediateRatio=80 -Dgenerative -Dstrengthen=mostgeneral
bash scripts/runexp.sh -p ${OUTPUT} -d ${DIRPREF}-${op}-clever-nr-im80-gen-strspc java -Dlog.level=INFO -cp ${JPATH} fr.inria.exmo.lazylavender.engine.Monitor ${OPT} ${LOADOPT} -DrevisionModality=${op} -DexpandAlignments=clever -DnonRedundancy -DimmediateRatio=80 -Dgenerative -Dstrengthen=mostspecific
bash scripts/runexp.sh -p ${OUTPUT} -d ${DIRPREF}-${op}-clever-nr-im80-gen-empty-strgen java -Dlog.level=INFO -cp ${JPATH} fr.inria.exmo.lazylavender.engine.Monitor ${OPT} ${LOADOPT} -DrevisionModality=${op} -DexpandAlignments=clever -DnonRedundancy -DimmediateRatio=80 -Dgenerative -DstartEmpty -Dstrengthen=mostgeneral
bash scripts/runexp.sh -p ${OUTPUT} -d ${DIRPREF}-${op}-clever-nr-im80-gen-empty-strspc java -Dlog.level=INFO -cp ${JPATH} fr.inria.exmo.lazylavender.engine.Monitor ${OPT} ${LOADOPT} -DrevisionModality=${op} -DexpandAlignments=clever -DnonRedundancy -DimmediateRatio=80 -Dgenerative -DstartEmpty -Dstrengthen=mostspecific
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 ProxMox 2 / Linux 4.15.17-1-pve / Java Java(TM) SE Runtime Environment 1.8.0_151 with 4.33G max heap size
Note: This experiment has been set up to first generate the runs and then play them with different configuration (this experiment generated expeRun2). To strictly repeat it, it is necessary to reuse the same input and not generate a new one. Hence, the input is saved in the repository, the generating line above must be commented (including in Docker).
Input: Input required for reproducibility can be retrieved from: https://files.inria.fr/sakere/input/expeRun2.zip Then unzip expeRun2.zip -d input
4-20000-add-clever-nr-im80-gen-empty-strgen.tsv 4-20000-add-clever-nr-im80-gen-empty-strgen.txt 4-20000-add-clever-nr-im80-gen-empty-strspc.tsv 4-20000-add-clever-nr-im80-gen-empty-strspc.txt 4-20000-add-clever-nr-im80-gen-strgen.tsv 4-20000-add-clever-nr-im80-gen-strgen.txt 4-20000-add-clever-nr-im80-gen-strspc.tsv 4-20000-add-clever-nr-im80-gen-strspc.txt 4-20000-addjoin-clever-nr-im80-gen-empty-strgen.tsv 4-20000-addjoin-clever-nr-im80-gen-empty-strgen.txt 4-20000-addjoin-clever-nr-im80-gen-empty-strspc.tsv 4-20000-addjoin-clever-nr-im80-gen-empty-strspc.txt 4-20000-addjoin-clever-nr-im80-gen-strgen.tsv 4-20000-addjoin-clever-nr-im80-gen-strgen.txt 4-20000-addjoin-clever-nr-im80-gen-strspc.tsv 4-20000-addjoin-clever-nr-im80-gen-strspc.txt 4-20000-delete-clever-nr-im80-gen-empty-strgen.tsv 4-20000-delete-clever-nr-im80-gen-empty-strgen.txt 4-20000-delete-clever-nr-im80-gen-empty-strspc.tsv 4-20000-delete-clever-nr-im80-gen-empty-strspc.txt 4-20000-delete-clever-nr-im80-gen-strgen.tsv 4-20000-delete-clever-nr-im80-gen-strgen.txt 4-20000-delete-clever-nr-im80-gen-strspc.tsv 4-20000-delete-clever-nr-im80-gen-strspc.txt 4-20000-nothing.tsv 4-20000-nothing.txt 4-20000-refadd-clever-nr-im80-gen-empty-strgen.tsv 4-20000-refadd-clever-nr-im80-gen-empty-strgen.txt 4-20000-refadd-clever-nr-im80-gen-empty-strspc.tsv 4-20000-refadd-clever-nr-im80-gen-empty-strspc.txt 4-20000-refadd-clever-nr-im80-gen-strgen.tsv 4-20000-refadd-clever-nr-im80-gen-strgen.txt 4-20000-refadd-clever-nr-im80-gen-strspc.tsv 4-20000-refadd-clever-nr-im80-gen-strspc.txt 4-20000-refine-clever-nr-im80-gen-empty-strgen.tsv 4-20000-refine-clever-nr-im80-gen-empty-strgen.txt 4-20000-refine-clever-nr-im80-gen-empty-strspc.tsv 4-20000-refine-clever-nr-im80-gen-empty-strspc.txt 4-20000-refine-clever-nr-im80-gen-strgen.tsv 4-20000-refine-clever-nr-im80-gen-strgen.txt 4-20000-refine-clever-nr-im80-gen-strspc.tsv 4-20000-refine-clever-nr-im80-gen-strspc.txt 4-20000-replace-clever-nr-im80-gen-empty-strgen.tsv 4-20000-replace-clever-nr-im80-gen-empty-strgen.txt 4-20000-replace-clever-nr-im80-gen-empty-strspc.tsv 4-20000-replace-clever-nr-im80-gen-empty-strspc.txt 4-20000-replace-clever-nr-im80-gen-strgen.tsv 4-20000-replace-clever-nr-im80-gen-strgen.txt 4-20000-replace-clever-nr-im80-gen-strspc.tsv 4-20000-replace-clever-nr-im80-gen-strspc.txt
test | success rate |
network size |
incoherence degree |
semantic precision |
semantic F-measure |
semantic recall |
maximum convergence |
---|---|---|---|---|---|---|---|
4-20000-nothing | 0.26 | 54 | 0.34 | 0.11 | 0.20 | 0.89 | 1 |
strengthen=general (compare to 20180829-NOOR) | |||||||
4-20000-delete-clever-nr-im80-gen-strgen | 0.95 | 56 | 0.00 | 1.00 | 0.57 | 0.40 | 10236 |
4-20000-replace-clever-nr-im80-gen-strgen | 0.95 | 55 | 0.00 | 1.00 | 0.56 | 0.39 | 9529 |
4-20000-refine-clever-nr-im80-gen-strgen | 0.94 | 56 | 0.00 | 1.00 | 0.61 | 0.43 | 10572 |
4-20000-add-clever-nr-im80-gen-strgen | 0.94 | 64 | 0.00 | 1.00 | 0.85 | 0.75 | 15173 |
4-20000-addjoin-clever-nr-im80-gen-strgen | 0.97 | 67 | 0.00 | 1.00 | 0.88 | 0.78 | 7815 |
4-20000-refadd-clever-nr-im80-gen-strgen | 0.96 | 84 | 0.00 | 1.00 | 0.99 | 0.98 | 6613 |
strengthen=general + startEmpty (compare to 20180829-NOOR) | |||||||
4-20000-delete-clever-nr-im80-gen-empty-strgen | 0.95 | 65 | 0.00 | 1.00 | 0.60 | 0.43 | 7608 |
4-20000-replace-clever-nr-im80-gen-empty-strgen | 0.95 | 63 | 0.00 | 1.00 | 0.57 | 0.40 | 7509 |
4-20000-refine-clever-nr-im80-gen-empty-strgen | 0.94 | 65 | 0.00 | 1.00 | 0.61 | 0.44 | 12513 |
4-20000-add-clever-nr-im80-gen-empty-strgen | 0.95 | 74 | 0.00 | 1.00 | 0.88 | 0.79 | 11268 |
4-20000-addjoin-clever-nr-im80-gen-empty-strgen | 0.97 | 75 | 0.00 | 1.00 | 0.89 | 0.81 | 7183 |
4-20000-refadd-clever-nr-im80-gen-empty-strgen | 0.97 | 87 | 0.00 | 1.00 | 0.97 | 0.95 | 6022 |
strengthen=specific (compare to 20180828-NOOR) | |||||||
4-20000-delete-clever-nr-im80-gen-empty-strspc | 0.95 | 62 | 0.00 | 1.00 | 0.71 | 0.55 | 11197 |
4-20000-replace-clever-nr-im80-gen-strspc | 0.95 | 56 | 0.00 | 1.00 | 0.70 | 0.54 | 10480 |
4-20000-refine-clever-nr-im80-gen-strspc | 0.93 | 57 | 0.00 | 1.00 | 0.71 | 0.56 | 9199 |
4-20000-add-clever-nr-im80-gen-empty-strspc | 0.94 | 73 | 0.00 | 1.00 | 0.88 | 0.78 | 13073 |
4-20000-addjoin-clever-nr-im80-gen-strspc | 0.96 | 67 | 0.00 | 1.00 | 0.88 | 0.79 | 11567 |
4-20000-refadd-clever-nr-im80-gen-strspc | 0.96 | 84 | 0.00 | 1.00 | 0.99 | 0.98 | 8851 |
strengthen=specific + startEmpty (compare to 20180828-NOOR) | |||||||
4-20000-delete-clever-nr-im80-gen-strspc | 0.95 | 56 | 0.00 | 1.00 | 0.70 | 0.54 | 10415 |
4-20000-replace-clever-nr-im80-gen-empty-strspc | 0.95 | 64 | 0.00 | 1.00 | 0.73 | 0.57 | 7247 |
4-20000-refine-clever-nr-im80-gen-empty-strspc | 0.93 | 65 | 0.00 | 1.00 | 0.74 | 0.58 | 12147 |
4-20000-add-clever-nr-im80-gen-strspc | 0.93 | 65 | 0.00 | 1.00 | 0.87 | 0.77 | 13026 |
4-20000-addjoin-clever-nr-im80-gen-empty-strspc | 0.96 | 76 | 0.00 | 1.00 | 0.90 | 0.82 | 7598 |
4-20000-refadd-clever-nr-im80-gen-empty-strspc | 0.96 | 87 | 0.00 | 1.00 | 0.97 | 0.95 | 10562 |
We simply display the size and recall for the four kinds of experiments on 20000 games compared to those on 10000 games (see data sets to compare above). This experiment is in plain, the previous one (on 10000) in dashed.
Analyst: Jérôme Euzenat (INRIA) (2018-09-18)
Key points:
Further experiments: none
This file can be retrieved from URL https://sake.re/20180913-NOOR
It is possible to check out the repository by cloning https://felapton.inrialpes.fr/cakes/20180913-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/20180913-NOOR.zip