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Re: [DL-Learner discussion] Questions on DL-Learner
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From: alec <Cel...@lr...> - 2014-05-23 13:56:50
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Hi Lorenz, I cannot make it work... I am on Windows: -------------------------------------------------------------------- ...\dllearner-1.0-beta-3\bin>cli.bat ../examples/father.conf La ligne entrée est trop longue. La syntaxe de la commande n'est pas correcte. -------------------------------------------------------------------- which means The input line is too long. The syntax of the command is not correct. This same command line works on dllearner-1.0-beta-2. Regards, Céline Le 23/05/2014 14:05, Lorenz Bühmann a écrit : > Hi Céline, > > can you check if the latest version dllearner-1.0-beta-3 [15] which > is downloadable at > https://sourceforge.net/projects/dl-learner/files/DL-Learner/ [16] > works for you? > > Regards, > Lorenz > > On 04/29/2014 09:48 AM, alec wrote: > >> Hi Lorenz, >> >> Thanks for your answer, you were right, it was not the latest >> version. >> I tried the latest version on my "father_test" example. I got that: >> >> >> ------------------------------------------------------ >> DL-Learner command line interface >> Initializing Component "OWL File"... OK (0ms) >> Initializing Component "fast instance checker"... OK (490ms) >> Initializing Component "PosNegLPStandard"... OK (0ms) >> Initializing Component "CELOE"... OK (20ms) >> Initializing Component "PCELOE"... OK (0ms) >> Running algorithm instance "alg1"(CELOE) >> more accurate (50,00%) class expression found: Thing >> more accurate (83,33%) class expression found: male >> Algorithm terminated successfully (time: 10s 0ms, 373537 >> descriptions tested, 22 >> 1907 nodes in the search tree). >> >> number of retrievals: 6 >> retrieval reasoning time: 0ms ( 0ms per retrieval) >> number of instance checks: 4145956 (0 multiple) >> instance check reasoning time: 452ms ( 0ms per instance check) >> (complex) subsumption checks: 266 (0 multiple) >> subsumption reasoning time: 96ms ( 0ms per subsumption check) >> overall reasoning time: 549ms >> >> solutions: >> 1: male (pred. acc.: 83,33%, F-measure: 85,71%) >> 2: (not female) (pred. acc.: 83,33%, F-measure: 85,71%) >> 3: Thing (pred. acc.: 50,00%, F-measure: 66,67%) >> 4: (female or male) (pred. acc.: 50,00%, F-measure: 66,67%) >> 5: (male or (not male)) (pred. acc.: 50,00%, F-measure: 66,67%) >> 6: (female or (not female)) (pred. acc.: 50,00%, F-measure: 66,67%) >> >> 7: ((not female) or (not male)) (pred. acc.: 50,00%, F-measure: >> 66,67%) >> >> Running algorithm instance "alg2"(PCELOE) >> more accurate (50,00%) class expression found: Thing >> more accurate (83,33%) class expression found: male >> Algorithm terminated successfully (time: 10s 52ms, 516119 >> descriptions tested, 3 >> 28678 nodes in the search tree). >> >> number of retrievals: 12 >> retrieval reasoning time: 0ms ( 0ms per retrieval) >> number of instance checks: 10208696 (0 multiple) >> instance check reasoning time: 1s 111ms ( 0ms per instance check) >> (complex) subsumption checks: 552 (0 multiple) >> subsumption reasoning time: 163ms ( 0ms per subsumption check) >> overall reasoning time: 1s 274ms >> >> solutions: >> 1: male (pred. acc.: 83,33%, F-measure: 85,71%) >> 2: (not female) (pred. acc.: 83,33%, F-measure: 85,71%) >> 3: Thing (pred. acc.: 50,00%, F-measure: 66,67%) >> 4: (female or male) (pred. acc.: 50,00%, F-measure: 66,67%) >> 5: (male or (not male)) (pred. acc.: 50,00%, F-measure: 66,67%) >> 6: (female or (not female)) (pred. acc.: 50,00%, F-measure: 66,67%) >> >> 7: ((not female) or (not male)) (pred. acc.: 50,00%, F-measure: >> 66,67%) >> ------------------------------------------------------------- >> >> So, there is no solution with something like "hasAge >> integer[>=28]". Maybe, I did not use the correct parameters. I used >> the same file than "father.conf" (I just changed ks.fileName). >> >> Regards, >> Céline. >> >> Le 12.04.2014 11:51, Lorenz Bühmann a écrit : >> >>> Hi, >>> >>> which version if DL-Learner do you use? The latest version online >>> is >>> >>> >> > > http://sourceforge.net/projects/dl-learner/files/DL-Learner/dllearner-1.0-beta-2.tar.gz/download >>> [4] >>> [7] but we plan to upload a new one as there are many new >>> features and >>> bugfixes in the current SVN version. >>> Form the error message, I assume you use a quite old version. Can >>> you >>> try the latest version? >>> >>> According to the modified example: >>> >>> You have as positive examples: >>> stefan -> male, 28 >>> markus -> male, 50 >>> martin -> male, 34 >>> and negative examples: >>> heinz -> male, 17 >>> anna -> female, 10 >>> michelle -> female, 4 >>> >>> So I guess you want to learn something like >>> "male AND hasAge integer[>=34]" ? >>> >>> I'll check if this works, but it should be possible. >>> >>> Regards, >>> Lorenz >>> >>> On 04/10/2014 10:53 AM, alec wrote: >>> >>>> Hi Lorenz, >>>> >>>> Thank you very much for your answers. >>>> I'm planning to use DL-Learner to learn concept definitions >>>> from an >>>> ontology of holiday destinations (I don't have the ontology >>>> yet). I >>>> want to make sure it is possible to get definitions with >>>> inferiority/superiority signs (about numerical datatype >>>> properties >>>> not about cardinality restrictions). >>>> For example, I would like to get something like that: >>>> "Definition of a destination which is hot in Winter: >>>> hasJanuaryTemperature x and >>>> hasFebruaryTemperature y and >>>> hasMarchTemperature z and >>>> x>20 and >>>> y>20 and >>>> z>20". >>>> >>>> I tried to modify the "father.owl" file (see attachments) in >>>> DL-Learner examples. I put a "hasAge" datatype property and I >>>> deleted "hasChild". I was hoping to see if I could get a >>>> definition >>>> with a superiority/inferiority sign about age. I got that: >>>> >>>> DL-Learner 2010-08-07 command line interface >>>> starting component manager ... OK (82ms) >>>> initialising component "OWL file" ... OK (0ms) >>>> initialising component "fast instance checker" ... OK (388ms) >>>> initialising component "pos neg learning problem" ... OK (0ms) >>>> initialising component "OCEL" ... OK (14ms) >>>> >>>> starting top down refinement with: Thing (50% accuracy) >>>> more accurate (83,33%) class expression found: male >>>> Exception in thread "main" java.lang.OutOfMemoryError: GC >>>> overhead >>>> limit exceeded >>>> at java.util.LinkedList.linkLast(Unknown Source) >>>> at java.util.LinkedList.add(Unknown Source) >>>> at java.util.LinkedList.clone(Unknown Source) >>>> at >>> >>> >> > > org.dllearner.refinementoperators.RhoDRDown.refine(RhoDRDown.java:474) >>> >>> >>>> at >>> >>> >> > > org.dllearner.refinementoperators.RhoDRDown.refine(RhoDRDown.java:498) >>> >>> >>> at >>> >>> >> > > org.dllearner.refinementoperators.RhoDRDown.refine(RhoDRDown.java:470) >>> >>> >>> at >>> >>> >> > > org.dllearner.refinementoperators.RhoDRDown.refine(RhoDRDown.java:413) >>> >>> >>> at >>> >>> >> > org.dllearner.algorithms.refinement2.ROLearner2.extendNodeProper(ROLe >>> >>>> at >>> /blockquote> >>> >> > > org.dllearner.algorithms.refinement2.ROLearner2.extendNodeProper(ROLearner2.java:521) >>> >>> at >>> >>>> org.dllearner.algorithms.refinement2.ROLearner2.start(ROLe >>> 36) >>> at >>> >>> >> > > org.dllearner.algorithms.refinement2.ROLComponent2.start(ROLComponent2.java >>> >>>> at org.dllearner.cli.Start.sta >>> :347) >>> at org.dllearner.cli.Start.main(Start.java:209) >>> >>> Kind regards, >>> >>>> Le 1 >>> 02, Lorenz Bühmann a écrit : >>> >>> Hi Céline, >>> >>> of course >>> >>>> ormation about DL-Learner if >>> br> you're >>> interested in. >>> >>> 1.) I'm not exactly sure what you mean by target langua >>> >>>> if you >>> refer to what's the expressivity of the learned class >>> expressions, then >>> no, the ta >>> >>>> ner is not ALC. >>>> Depending on the used learning algorithm, DL-Learner of course >>>> supports >>>> datatype properties and for example can also learn class >>>> expressions >>>> which consist of constructs used in Description Logics beyond >>>> ALC, like >>>> for example qualified cardinality restrictions(Q). >>>> >>>> 2.) see 1.) >>>> >>>> 3.) We do not have any numbers, but in general the internally >>>> used OWL >>>> reasoner(e.g. Pellet or HermiT) might be a bottleneck. If >>>> you're >>>> able to >>>> just load the necessary part of the ontology, this can of >>>> course >>>> positively influence the learning process. Maybe we're both >>>> taking about >>>> different things when using the term "noise", but I wouldn't >>>> declare >>>> unnecessary information as noise. >>>> >>>> 4.) Limits in which sense? >>>> >>>> Can you give us any insights into what you're planning to do >>>> with >>>> the >>>> DL-Learner? >>>> >>>> Kind regards, >>>> Lorenz >>>> On 04/08/2014 09:00 AM, alec wrote: >>>> >>>>> Hello, >>>>> >>>>> I am a PhD student in Laboratoire de Recherche en >>>>> Informatique >>>>> in >>>>> Université Paris Sud (France). I have read papers on >>>>> DL-Learner. For my >>>>> thesis project, I might be interested in using an ILP tool to >>>>> >>>>> learn >>>>> concept definitions. But the ontology I will use as input >>>>> will >>>>> have >>>>> datatype properties (numerical values) and I would like to >>>>> use >>>>> a tool >>>>> which can learn >>>>> definitions using these datatype properties. >>>>> >>>>> I would like to have some additional information on >>>>> DL-Learner >>>>> if it is >>>>> possible. I would be grateful if you could answer my >>>>> questions. >>>>> >>>>> 1. I understood that the target language of your algorithm is >>>>> >>>>> ALC >>>>> description logic. Can you confirm me that we cannot get a >>>>> definition of >>>>> a concept with datatype properties (other than string >>>>> datatype >>>>> properties)? >>>>> For example, something like an adult is a person whose age >>>>> hasValue x >>>>> with x>=18. >>>>> >>>>> 2. If I understood right: >>>>> Is there a particular reason for that? Has it a real >>>>> complexity >>>>> to >>>>> implement? Or do you know tools (open source or free of >>>>> charge >>>>> for >>>>> academic research) that can generate a definition with >>>>> numerical >>>>> datatype properties (e.g. in SHOIN(D) description logic)? >>>>> >>>>> 3. Are there any constraints about the input ontology? Can it >>>>> >>>>> be a big >>>>> ontology with potential information which is not interesting >>>>> for >>>>> defining a concept (i.e. with noise)? Or has it to be just >>>>> the >>>>> interesting part of the ontology? >>>>> >>>>> 4. Can you say what the limits of DL-Learner are? >>>>> >>>>> I would greatly appreciate any help you might be able to give >>>>> >>>>> me. >>>>> >>>>> Best regards, >>>>> Céline Alec >>>> >>>> >>> >> > > ------------------------------------------------------------------------------ >>>> >>>> >>>> Put Bad Developers to Shame >>>> Dominate Development with Jenkins Continuous Integration >>>> Continuously Automate Build, Test & Deployment >>>> Start a new project now. Try Jenkins in the cloud. >>>> http://p.sf.net/sfu/13600_Cloudbees [1] [1] >>>> _______________________________________________ >>>> dl-learner-discussion mailing list >>> dl-...@li... [2] >>> >>> https://lists.sourceforge.net/lists/listinfo/dl-learner-discussion >>> [5] >>> [6] >>> >>> >> > > ------------------------------------------------------------------------------ >>> >>> Put Bad Developers to Shame >>> Dominate Development with Jenkins Continuous Integration >>> Continuously Automate Build, Test & Deployment >>> Start a new project now. Try Jenkins in the cloud. >>> http://p.sf.net/sfu/13600_Cloudbees [6] >>> >>> _______________________________________________ >>> dl-learner-discussion mailing list >>> dl-...@li... [7] >>> https://lists.sourceforge.net/lists/listinfo/dl-learner-discussion >>> [8] >>> >>> Links: >>> ------ >>> [1] http://p.sf.net/sfu/13600_Cloudbees [9] >>> [2] mailto:dl-...@li... [10] >>> [3] >>> https://lists.sourceforge.net/lists/listinfo/dl-learner-discussion >>> [11] >>> [4] http://p.sf.net/sfu/13600_Cloudbees [12] >>> [5] mailto:dl-...@li... [13] >>> [6] >>> https://lists.sourceforge.net/lists/listinfo/dl-learner-discussion >>> [14] >>> [7] >> >> > > ------------------------------------------------------------------------------ >> "Accelerate Dev Cycles with Automated Cross-Browser Testing - For >> FREE >> Instantly run your Selenium tests across 300+ browser/OS combos. Get >> >> unparalleled scalability from the best Selenium testing platform >> available. >> Simple to use. Nothing to install. Get started now for free." >> http://p.sf.net/sfu/SauceLabs >> >> _______________________________________________ >> dl-learner-discussion mailing list >> dl-...@li... >> https://lists.sourceforge.net/lists/listinfo/dl-learner-discussion > > > > Links: > ------ > [1] http://p.sf.net/sfu/13600_Cloudbees > [2] http://p.sf.net/sfu/13600_Cloudbees > [3] mailto:dl-...@li... > [4] > > http://sourceforge.net/projects/dl-learner/files/DL-Learner/dllearner-1.0-beta-2.tar.gz/download > [5] https://lists.s<div> > > > > tinfo/dl-learner-discussion">https://lists.sourceforge.net/lists/listinfo/dl-learner-discussion > > > > > >> [3] > > > > > ------------------------------------------------------------------------------ > > > > > > Put Bad Developers to Shame > > > Dominate Development with Jenkins Continuous Integration > > > Continuously Automate Build, Test & Deployment > > > Start a new project now. Try Jenkins in the cloud. > > > http://p.sf.net/sfu/13600_Cloudbees [2] [4] > > _______________________________________________ > > dl-learner-discussion mailing list > > > dl-...@li... [3] [5] > </div>rceforge.net/lists/listinfo/dl-learner-discussion > [6] http://p.sf.net/sfu/13600_Cloudbees > [7] mailto:dl-...@li... > [8] > https://lists.sourceforge.net/lists/listinfo/dl-learner-discussion > [9] http://p.sf.net/sfu/13600_Cloudbees > [10] mailto:dl-...@li... > [11] > https://lists.sourceforge.net/lists/listinfo/dl-learner-discussion > [12] http://p.sf.net/sfu/13600_Cloudbees > [13] mailto:dl-...@li... > [14] > https://lists.sourceforge.net/lists/listinfo/dl-learner-discussion > [15] > > http://sourceforge.net/projects/dl-learner/files/DL-Learner/dllearner-1.0-beta-3.zip/download > [16] https://sourceforge.net/projects/dl-learner/files/DL-Learner/ |
