@prefix dc:    <http://purl.org/dc/elements/1.1/> .
@prefix comete-onto: <http://comete.licef.ca/reference#> .
@prefix prv:   <http://purl.org/net/provenance/ns#> .
@prefix ir:    <http://www.ontologydesignpatterns.org/cp/owl/informationrealization.owl#> .
@prefix lomvoc: <http://ltsc.ieee.org/rdf/lomv1.0/vocab#> .
@prefix geo:   <http://www.w3.org/2003/01/geo/wgs84_pos#> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix yago:  <http://localhost:8080/class/yago/> .
@prefix void:  <http://rdfs.org/ns/void#> .
@prefix comete: <http://ceres.vteducation.org/resource/> .
@prefix geonames: <http://www.geonames.org/ontology#> .
@prefix org:   <http://www.w3.org/ns/org#> .
@prefix meta:  <http://example.org/metadata#> .
@prefix units: <http://dbpedia.org/units/> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix prvTypes: <http://purl.org/net/provenance/types#> .
@prefix p:     <http://localhost:8080/property/> .
@prefix oai:   <http://www.openarchives.org/OAI/2.0/> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .
@prefix owl:   <http://www.w3.org/2002/07/owl#> .
@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix doap:  <http://usefulinc.com/ns/doap#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .

[ void:sparqlEndpoint  <http://localhost:3030/ds/query> ] .

[ a              doap:Project ;
  doap:homepage  <http://www4.wiwiss.fu-berlin.de/pubby/> ;
  doap:release   _:b0
] .

_:b1    a                     prvTypes:DataCreatingService , prv:Actor , prv:DataProvidingService ;
        rdfs:seeAlso          <http://ceres.vteducation.org/> ;
        prv:deployedSoftware  _:b0 .

<http://localhost:3030/ds/query>
        a       prvTypes:DataCreatingService , prv:Actor .

<http://ceres.vteducation.org/data/resource/learningobject/36b8b234-9391-4bab-bb9d-c220a1d8d52c>
        rdfs:label         "RDF description of 2.8. The Extended Kalman Filter (EKF)" ;
        foaf:primaryTopic  <http://ceres.vteducation.org/resource/learningobject/36b8b234-9391-4bab-bb9d-c220a1d8d52c> .

<http://ceres.vteducation.org/resource/learningobject/36b8b234-9391-4bab-bb9d-c220a1d8d52c>
        a                              comete-onto:LearningObject ;
        comete-onto:added              "2017-01-23T05:59:30Z" ;
        comete-onto:extraInfo          "URI" , "Canal-U_Ocms" , "2. Bayes and Kalman Filters"@fr ;
        comete-onto:hasMetadataRecord  <http://ceres.vteducation.org/resource/metadatarecord/ea2da071-3246-4db5-90ca-7c8cb0a1c616> ;
        comete-onto:intellectualProperty
                "Droits réservés à l'éditeur et aux auteurs. \nThis course material is provided under Creative Commons License BY-NC-ND: the name of the author should always be mentioned ; the user can exploit the work except in a commercial context and he cannot make changes to the original work."@fr ;
        comete-onto:keyword            "informatics"@fr , "mobile robots"@fr , "robotics"@fr , "autonomous vehicles"@fr ;
        comete-onto:learningResourceType
                lomvoc:LearningResourceType-lecture ;
        dcterms:created                "2015-06-01" ;
        dcterms:creator                <http://ceres.vteducation.org/resource/person/a123024b-b5d0-4613-a718-b8145d3dc11a> ;
        dcterms:description            "We have seen the grid\nlocalization, and the advantage of this approach is that we can deal\nwith any kind of probability distribution; in particular we\ndon't need to do a Gaussian assumption. The drawback is that the\nsolution becomes very expensive.\nThere exists another solution\nthat is the Kalman filter, this is a completely different solution\nbecause it is a totally analytical solution."@fr ;
        dcterms:format                 <http://purl.org/NET/mediatypes/video/x-flv> ;
        dcterms:identifier             "26405" ;
        dcterms:language               "en" ;
        dcterms:subject                <http://dewey.info/class/621.39/> , <http://dewey.info/class/004/> , <http://dewey.info/class/629.89/> ;
        dcterms:title                  "2.8. The Extended Kalman Filter (EKF)"@fr ;
        foaf:page                      <http://www.canal-u.tv/video/inria/2_8_the_extended_kalman_filter_ekf.26405> .

_:b0    a              doap:Version ;
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