Can you provide the full URL with all parameters that generated those
results in both machines?
Cheers,
Pablo
On Thu, Feb 28, 2013 at 7:20 PM, Neil Ireson <[email protected]> wrote:
> Hi Pablo,
>
> I'm using confidence=0.2 and support=20 for all experiments.
>
> I've changed the spotter dictionary to
> surface_forms-Wikipedia-TitRedDis.thresh3.spotterDictionary from the
> release-0.4 directory, but still no luck.
>
> here's my result
>
> <a href="http://dbpedia.org/resource/Presidency_of_Barack_Obama";
> title="http://dbpedia.org/resource/Presidency_of_Barack_Obama";
> target="_blank">President Obama</a> called Wednesday on <a
> href="http://dbpedia.org/resource/United_States_Congress";
> title="http://dbpedia.org/resource/United_States_Congress";
> target="_blank">Congress</a> to extend a <a
> href="http://dbpedia.org/resource/Tax_break";
> title="http://dbpedia.org/resource/Tax_break"; target="_blank">tax break</a>
> for <a href="http://dbpedia.org/resource/Student";
> title="http://dbpedia.org/resource/Student"; target="_blank">students</a>
> included in last year's <a
> href="http://dbpedia.org/resource/Economic_Stimulus_Act_of_2008";
> title="http://dbpedia.org/resource/Economic_Stimulus_Act_of_2008";
> target="_blank">economic stimulus</a> package, arguing that the <a
> href="http://dbpedia.org/resource/Policy";
> title="http://dbpedia.org/resource/Policy"; target="_blank">policy</a>
> provides more generous <a
> href="http://dbpedia.org/resource/American_Student_Assistance";
> title="http://dbpedia.org/resource/American_Student_Assistance";
> target="_blank">assistance</a>.
>
> and the one from http://spotlight.dbpedia.org
>
> <a href="http://dbpedia.org/resource/Presidency_of_Barack_Obama";
> title="http://dbpedia.org/resource/Presidency_of_Barack_Obama";
> target="_blank">President Obama</a> called <a
> href="http://dbpedia.org/resource/Sheffield_Wednesday_F.C.";
> title="http://dbpedia.org/resource/Sheffield_Wednesday_F.C.";
> target="_blank">Wednesday</a> on <a
> href="http://dbpedia.org/resource/United_States_Congress";
> title="http://dbpedia.org/resource/United_States_Congress";
> target="_blank">Congress</a> to extend a tax break for <a
> href="http://dbpedia.org/resource/Student";
> title="http://dbpedia.org/resource/Student"; target="_blank">students</a>
> included in last <a href="http://dbpedia.org/resource/University";
> title="http://dbpedia.org/resource/University"; target="_blank">year</a>'s
> economic stimulus <a
> href="http://dbpedia.org/resource/Packaging_and_labeling";
> title="http://dbpedia.org/resource/Packaging_and_labeling";
> target="_blank">package</a>, arguing that the <a
> href="http://dbpedia.org/resource/Policy";
> title="http://dbpedia.org/resource/Policy"; target="_blank">policy</a>
> provides more generous <a href="http://dbpedia.org/resource/Assistance_dog";
> title="http://dbpedia.org/resource/Assistance_dog";
> target="_blank">assistance</a>.
>
> Given the fact that my local result is more 'correct' in terms of the
> annotations I am wondering if I am employing a different (better) set of
> data and/or processes. The other thing which makes me suspect that I using
> more accurate, but costly, processes is that spotlight.dbpedia.org is
> about twice as fast as my local implementation, despite the fact I'm
> running it on a dedicated server with 8 cores and 32GB of RAM.
>
> N
>
> Below is my full server.properties file can you indicate any deviations
> from yours...
>
>
>
> # Server hostname and port to be used by DBpedia Spotlight REST API
> org.dbpedia.spotlight.web.rest.uri = http://localhost:2222/rest
>
> # Internationalization (i18n) support -- work in progress
> org.dbpedia.spotlight.default_namespace = http://dbpedia.org/resource/
> org.dbpedia.spotlight.default_ontology= http://dbpedia.org/ontology/
> # Defines the languages the system should support.
> org.dbpedia.spotlight.language = English
> org.dbpedia.spotlight.language_i18n_code = en
> # Stop word list
> # An example can be downloaded from:
> http://spotlight.dbpedia.org/download/release-0.4/stopwords.en.list
> org.dbpedia.spotlight.data.stopWords.english = data/stopwords.en.list
> org.dbpedia.spotlight.data.stopWords.portuguese = data/stopwords.pt.list
>
> #----- SPOTTING -------
>
> # Comma-separated list of spotters to load.
> # Accepted values are
> LingPipeSpotter,WikiMarkupSpotter,AtLeastOneNounSelector,CoOccurrenceBasedSelector,NESpotter,OpenNLPNGramSpotter,OpenNLPChunkerSpotter,KeaSpotter
> # Some spotters may require extra files and config parameters. See
> org.dbpedia.spotlight.model.SpotterConfiguration
> org.dbpedia.spotlight.spot.spotters = LingPipeSpotter,WikiMarkupSpotter
> org.dbpedia.spotlight.spot.selectors = ShortSurfaceFormSelector
>
> # Path to serialized LingPipe dictionary used by LingPipeSpotter
> org.dbpedia.spotlight.spot.dictionary =
> data/surface_forms-Wikipedia-TitRedDis.thresh3.spotterDictionary
> org.dbpedia.spotlight.spot.allowOverlap = false
> org.dbpedia.spotlight.spot.caseSensitive = false
>
> # Configurations for the CoOccurrenceBasedSelector
> # From:
> http://spotlight.dbpedia.org/download/release-0.5/spot_selector.tgz
> org.dbpedia.spotlight.spot.cooccurrence.datasource = ukwac
> org.dbpedia.spotlight.spot.cooccurrence.database.jdbcdriver =
> org.hsqldb.jdbcDriver
> org.dbpedia.spotlight.spot.cooccurrence.database.connector =
> jdbc:hsqldb:file:data/spotsel/ukwac_candidate;shutdown=true&readonly=true
> org.dbpedia.spotlight.spot.cooccurrence.database.user = sa
> org.dbpedia.spotlight.spot.cooccurrence.database.password =
> org.dbpedia.spotlight.spot.cooccurrence.classifier.unigram =
> data/spotsel/ukwac_unigram.model
> org.dbpedia.spotlight.spot.cooccurrence.classifier.ngram =
> data/spotsel/ukwac_ngram.model
>
> # Path to serialized HMM model for LingPipe-based POS tagging. Required by
> AtLeastOneNounSelector and CoOccurrenceBasedSelector
> org.dbpedia.spotlight.tagging.hmm =
> data/pos-en-general-brown.HiddenMarkovModel
>
> # Path to dir containing several OpenNLP models for NER, chunking, etc.
> This is required for spotters that are based on OpenNLP.
> # Can be downloaded from
> http://spotlight.dbpedia.org/download/release-0.5/opennlp_models.tgz
> org.dbpedia.spotlight.spot.opennlp.dir = data/opennlp
> org.dbpedia.spotlight.spot.opennlp.person=
> http://dbpedia.org/ontology/Person
> org.dbpedia.spotlight.spot.opennlp.organization=
> http://dbpedia.org/ontology/Organisation
> org.dbpedia.spotlight.spot.opennlp.location=
> http://dbpedia.org/ontology/Place
>
>
> # EXPERIMENTAL! Path to Kea Model
> org.dbpedia.spotlight.spot.kea.model = data/kea/keaModel-1-3-1
>
> #EXPERIMENTAL! AhoCorasick Spotter
> org.dbpedia.spotlight.spot.ahocorasick.surfaceforms=data/surfaceforms.set
>
>
> #----- CANDIDATE SELECTION -------
>
> # Choose between jdbc or lucene for DBpedia Resource creation. Also, if
> the jdbc throws an error, lucene will be used.
> org.dbpedia.spotlight.core.database = lucene
> org.dbpedia.spotlight.core.database.jdbcdriver = org.hsqldb.jdbcDriver
> org.dbpedia.spotlight.core.database.connector =
> jdbc:hsqldb:file:data/database/spotlight-db;shutdown=true&readonly=true
> org.dbpedia.spotlight.core.database.user = sa
> org.dbpedia.spotlight.core.database.password =
>
> # From
> http://spotlight.dbpedia.org/download/release-0.5/candidate-index-full.tgz
> org.dbpedia.spotlight.candidateMap.dir = data/candidateIndexTitRedDis
> org.dbpedia.spotlight.candidateMap.loadToMemory = true
> # Path to Lucene index containing only the candidate map. It is used by
> document-oriented disambiguators such as Document,TwoStepDisambiguator
> # Only used if one such disambiguator is loaded. Data is at:
> http://spotlight.dbpedia.org/download/release-0.5/candidate-index-full.tgz
> #org.dbpedia.spotlight.candidateMap.dir =
> dist/src/deb/control/data/usr/share/dbpedia-spotlight/index
>
>
> #----- DISAMBIGUATION -------
>
> # List of disambiguators to load: Document,Occurrences,CuttingEdge,Default
> org.dbpedia.spotlight.disambiguate.disambiguators = Default,Document
>
> # Path to a directory containing Lucene index files. These can be
> downloaded from the website or created by
> org.dbpedia.spotlight.lucene.index.IndexMergedOccurrences
> org.dbpedia.spotlight.index.dir = data/index-withSF-withTypes-compressed
> # Will attempt to load into RAM (the potentially huge) index from
> "org.dbpedia.spotlight.index.dir"
> org.dbpedia.spotlight.index.loadToMemory = true
> # Class used to process context around DBpedia mentions (tokenize, stem,
> etc.)
> org.dbpedia.spotlight.lucene.analyzer =
> org.apache.lucene.analysis.en.EnglishAnalyzer
> org.dbpedia.spotlight.lucene.version = LUCENE_36
> # How large can the cache be for ICFDisambiguator.
> jcs.default.cacheattributes.MaxObjects = 15000
>
>
> #----- LINKING / FILTERING -------
>
> # Configuration for SparqlFilter
> org.dbpedia.spotlight.sparql.endpoint = http://dbpedia.org/sparql
> org.dbpedia.spotlight.sparql.graph = http://dbpedia.org
>
>
>
>
--
Pablo N. Mendes
http://pablomendes.com
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