20180530-NOOR

Experiment design

Designer: Jérôme Euzenat (INRIA) (2017-02-15)

Revision of networks of ontologies with expansion and expansion and relaxation (4 agents; 10 runs; 10000 games; delete/replace/refine/add/addjoin/refadd)

Hypotheses: Relaxation improves on expansion by reaching 100% precision

Experimental setting: Same as 20170529-NOOR and 20170215b-NOOR replaying the same runs as 20180308-NOOR (putatively) and after fixing addjoin and expansion.

Experiment

Experimenter: Jérôme Euzenat (INRIA) (2018-05-30)

Date: 2018-05-30

Lazy lavender hash: d50e70f87bca76951ec2f149dc8ae1d42b9a1a28

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: 20170529-NOOR

Parameters: params.sh

Command line (script.sh):

#!/bin/bash

JPATH=lib/lazylav/ll.jar:lib/slf4j/logback-classic-1.2.3.jar:lib/slf4j/logback-core-1.2.3.jar:.

OPT="-DnbAgents=4 -DnbIterations=10000 -DnbRuns=10 -DreportPrecRec"

LOADOPT="-DloadDir=input/expeRun -DloadEnv -DloadAgents -DreplayGames"

for op in delete replace refine add addjoin refadd
do
  bash scripts/runexp.sh -d 4-10000-${op}-clever-nr-im80 java -Dlog.level=INFO -cp lib/lazylav/ll.jar:lib/slf4j/logback-classic-1.2.3.jar:lib/slf4j/logback-core-1.2.3.jar:. fr.inria.exmo.lazylavender.engine.Monitor ${OPT} ${LOADOPT} -DrevisionModality=${op} -DexpandAlignments=clever -DnonRedundancy -DimmediateRatio=80

done

Class used: NOOEnvironment, AlignmentAdjustingAgent, AlignmentRevisionExperiment, ActionLogger, AverageLogger, Monitor

Execution environment: Debian Linux virtual machine configured with four processors and 20GB of RAM running under a Dell PowerEdge T610 with 4*Intel Xeon Quad Core 1.9GHz E5-2420 processors, under Linux ProxMox 2 (Debian). - Java 1.8.0 HotSpot

Input: Input required for reproducibility can be retrieved from: https://files.inria.fr/sakere/input/expeRun.zip Then unzip expeRun.zip -d input

Raw results

4-10000-add-clever-nr-im80.tsv 4-10000-add-clever-nr-im80.txt 4-10000-addjoin-clever-nr-im80.tsv 4-10000-addjoin-clever-nr-im80.txt 4-10000-delete-clever-nr-im80.tsv 4-10000-delete-clever-nr-im80.txt 4-10000-refadd-clever-nr-im80.tsv 4-10000-refadd-clever-nr-im80.txt 4-10000-refine-clever-nr-im80.tsv 4-10000-refine-clever-nr-im80.txt 4-10000-replace-clever-nr-im80.tsv 4-10000-replace-clever-nr-im80.txt

Result exploration

All plots compare -clever-nr-im80 (this experiment, plain) with -clever-nr (20180529-NOOR, dotted) and im80 (20180311-NOOR, dashed).

testsuccess
rate
network
size
incoherence
degree
semantic
precision
semantic
F-measure
semantic
recall
maximum
convergence
4-10000-delete-clever-nr-im800.98130.001.000.230.132116
4-10000-replace-clever-nr-im800.97250.001.000.390.243038
4-10000-refine-clever-nr-im800.96340.001.000.520.352450
4-10000-add-clever-nr-im800.95470.001.000.630.464578
4-10000-addjoin-clever-nr-im800.97460.001.000.620.453191
4-10000-refadd-clever-nr-im800.96700.001.000.850.738114

Analysis

Analyst: Jérôme Euzenat (INRIA) (2018-08-16)

Key points:

Further experiments: none


This file can be retrieved from URL https://sake.re/20180530-NOOR

It is possible to check out the repository by cloning https://felapton.inrialpes.fr/cakes/20180530-NOOR.git

This experiment has been transferred from its initial location at https://gforge.inria.fr.

The original, unaltered associated zip file can be obtained from https://files.inria.fr/sakere/gforge/20180530-NOOR.zip