a semantic web for neuroscience what could that mean

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8/3/2019 A Semantic Web for Neuroscience What Could That Mean

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Alan Ruttenberg!

Neuroinformatics 2009!

ASeman(cWebforNeuroscience?

Whatcouldthatmean?

 AlanRu(enbergScienceCommons

h(p://neurocommons.org/ 

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Alan Ruttenberg!

Neuroinformatics 2009!

ScienceCommons •  ScienceCommonsisaprojectofCrea(veCommons

•  Crea-veCommonsprovidesfreetoolsthatletauthors,scien-sts,ar-sts,andeducatorseasilymarktheircrea-veworkwiththefreedomstheywantittocarry

•  140,000,000objectsontheWebunderCClicensesin40+countries

•  800+peerreviewedjournalscarryCClicensing,includingPublicLibraryofScience

•  ScienceCommonsspecializesCCtoscience

•  Forconsumersofknowledge:makeiteasytouseandreuseinforma-onandincreasechancesfordiscovery

• Forprovidersofknowledge:providelegalcertaintyandautomatedaHribu-onandtracking

•  Forfunders:improvereturnoninvestmentbyencouragingandenablingreuse

8/3/2019 A Semantic Web for Neuroscience What Could That Mean

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Alan Ruttenberg!

Neuroinformatics 2009!

Goalsofmytalk

•  Giveyouasenseforwhatismeanby“Seman-cWeb”

•  Showglimpsesofwhatweareaimingfor

•  CutandpasteontheSeman-cWebforScience•  SPARQLforspecificanswerstopreciseques-ons

•  Introducethewhy,whatandhowofOntology

•  Talkaboutthefuture

 –  Whereweareheading

 –  owyoucanpar-cipate.

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Alan Ruttenberg!

Neuroinformatics 2009!

TheSeman-cWebinaNutshell

•  AddstoWebstandardsandprac(cesencouraging

•  Unambiguousnamesforthings,classes,andrela-onships

•  Wellorganizedanddocumentedinontologies

•  Withdataexpressedusinguniformknowledgerepresenta-onlanguages

•  Toenablecomputa-onallyassistedexploita-onof

informa-on

•  Thatcanbeeasilyintegratedfromdifferentsources

•  Bothwithinandacrosspublicandorganiza-onalboundaries

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Alan Ruttenberg!

Neuroinformatics 2009!

WhyshouldyouwantaSeman-cWeb?

•  Providesopportuni-esforclearercommunica-onofresearchresults

•  Encouragessepara-onofconcernsandpar-cipa-oninresearchbyexpertsineachaspectofmul-facetedwork

•  Encouragesnetworkeffects–surprisesofcombiningresources,invi-ngexperiment

•  Presentsopportunityforefficienciesatglobalscales.

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Alan Ruttenberg!

Neuroinformatics 2009!

Copy/Paste on the Semantic Web for Science

Allen Brain Institute ServersJavascript

SPARQLAJAX

   Q  u  e  r  y

 U                                                                                                      R                                                                                                     L                                                                                                     

http://www.brainmap.org://….0205032816_B.aff/TileGroup3/1-0-1.jpg

GoogleMaps

API

http://sparql.neurocommons.org/map/#Kcnip3@2850,Kcnd1@2800!

Neurocommons Servers

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Alan Ruttenberg!

Neuroinformatics 2009!

BIRN:“viewedsource”,useourcodeintheirownapplica-ons

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Alan Ruttenberg!

Neuroinformatics 2009!

Specificanswerstopreciseques-ons

Signaltransduc-onpathwaysareconsideredtoberichin“druggable”targetsproteinsthatmightrespondto

chemicaltherapyCA1PyramidalNeuronsareknowntobepar-cularlydamagedinAlzheimer’sdisease.

Cas-ngawidenet,canwefindcandidategenesknowntobeinvolvedinsignal

transduc-onandac-veinPyramidalNeurons?

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Alan Ruttenberg!

Neuroinformatics 2009!

Google:223,000results

8/3/2019 A Semantic Web for Neuroscience What Could That Mean

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Alan Ruttenberg!

Neuroinformatics 2009!

Pubmed:2800results

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Alan Ruttenberg!

Neuroinformatics 2009!

ASPARQLqueryforprocessesinvolved

inpyramidalneuronsprefixgo:<hHp://purl.org/obo/owl/GO#>prefixrdfs:<hHp://www.w3.org/2000/01/rdfschema#>prefixowl:<hHp://www.w3.org/2002/07/owl#>prefixmesh:<hHp://purl.org/commons/record/mesh/>prefixsc:<hHp://purl.org/science/owl/sciencecommons/>prefixro:<hHp://www.obofoundry.org/ro/ro.owl#>select?gene_name?process_namewhere{?pubmed_record?pmesh:D017966.?ar-clesc:iden-fied_by_pmid?pubmed_record.?gene_recordsc:describes_gene_or_gene_product_men-oned_by?ar-cle.?proteinrdfs:subClassOf?restric-on.?restric-onowl:onPropertyro:has_func-on.?restric-onowl:someValuesFrom?restric-on2.?restric-on2owl:onPropertyro:realized_as.?restric-on2owl:someValuesFrom?process.{{?processro:part_ofgo:GO_0007166}union{?processrdfs:subClassOfgo:GO_0007166}}

?proteinrdfs:subClassOf?parent.?parentowl:equivalentClass?restric-on3.?restric-on3owl:onPropertysc:is_protein_gene_product_of_dna_described_by.?restric-on3owl:hasValue?gene_record.?gene_recordrdfs:label?gene_name.?processrdfs:label?processname.}

Mesh: Pyramidal Neurons

Pubmed: Journal Articles

Entrez Gene: Genes

GO: Signal Transduction

Inference required  

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Alan Ruttenberg!

Neuroinformatics 2009!

ResultsDRD1,1812 adenylatecyclaseac-va-onADRB2,154 adenylatecyclaseac-va-onADRB2,154 arres-nmediateddesensi-za-onofGproteincoupledreceptorproteinsignalingpathwayDRD1IP,50632 dopaminereceptorsignalingpathwayDRD1,1812 dopaminereceptor,adenylatecyclaseac-va-ngpathwayDRD2,1813 dopaminereceptor,adenylatecyclaseinhibi-ngpathwayGRM7,2917 GproteincoupledreceptorproteinsignalingpathwayGNG3,2785 GproteincoupledreceptorproteinsignalingpathwayGNG12,55970 GproteincoupledreceptorproteinsignalingpathwayDRD2,1813 GproteincoupledreceptorproteinsignalingpathwayADRB2,154 GproteincoupledreceptorproteinsignalingpathwayCALM3,808 Gproteincoupledreceptorproteinsignalingpathway

TR2A,3356 GproteincoupledreceptorproteinsignalingpathwayDRD1,1812 Gproteinsignaling,coupledtocyclicnucleo-desecondmessengerSSTR5,6755 Gproteinsignaling,coupledtocyclicnucleo-desecondmessengerMTNR1A,4543 Gproteinsignaling,coupledtocyclicnucleo-desecondmessengerCNR2,1269 Gproteinsignaling,coupledtocyclicnucleo-desecondmessengerTR6,3362 Gproteinsignaling,coupledtocyclicnucleo-desecondmessengerGRIK2,2898 glutamatesignalingpathwayGRIN1,2902 glutamatesignalingpathwayGRIN2A,2903 glutamatesignalingpathwayGRIN2B,2904 glutamatesignalingpathwayADAM10,102 integrinmediatedsignalingpathwayGRM7,2917 nega-veregula-onofadenylatecyclaseac-vityLRP1,4035 nega-veregula-onofWntreceptorsignalingpathway

ADAM10,102 NotchreceptorprocessingASCL1,429 NotchsignalingpathwayTR2A,3356 serotoninreceptorsignalingpathwayADRB2,154 transmembranereceptorproteintyrosinekinaseac-va-on(dimeriza-on)PTPRG,5793 transmembranereceptorproteintyrosinekinasesignalingpathwayEPA4,2043 transmembranereceptorproteintyrosinekinasesignalingpathwayNRTN,4902 transmembranereceptorproteintyrosinekinasesignalingpathwayCTNND1,1500 Wntreceptorsignalingpathway

Many of the genes are indeed related toAlzheimerʼs Disease through gammasecretase (presenilin) activity!

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Alan Ruttenberg!

Neuroinformatics 2009!

• /sparql/?query=PREFIX%20owl%3A%20%3Chttp%3A%2F%2Fwww.w3.org%2F2002%2F07%2Fowl%23%3E%0APREFIX%20go%3A%20%3Chttp%3A%2F%2Fpurl.org%2Fobo%2Fowl%2FGO%23%3E%0APREFIX%20obo%3A %20%3Chttp%3A%2F%2Fwww.geneontology.org%2Fformats%2FoboInOwl%23%3E%0APREFIX%20rdfs%3A%20%3Chttp%3A%2F%2Fwww.w3.org%2F2000%2F01%2Frdf-schema%23%3E%0A%0Aselect%20%20%3Fname%20%20%3Fclass%20%3Fdefinition%0Afrom%20%3Chttp%3A%2F%2Fpurl.org%2Fcommons%2Fhcls%2F20070416%3E%0Awhere%0A%7B%20%20%20graph%20%3Chttp%3A%2F%2Fpurl.org%2Fcommons%2Fhcls%2F20070416%2Fclassrelations%3E%0A%20%20%20%20%20%7B%3Fclass%20rdfs%3AsubClassOf%20go%3AGO_0008150%7D%0A %20%20%20%20%3Fclass%20rdfs%3Alabel%20%3Fname.%0A %20%20%20%20%3Fclass%20obo%3AhasDefinition%20%3Fdef.%0A %20%20%20%20%3Fdef%20rdfs%3Alabel%20%3Fdefinition%20%0A %20%20%20%20filter(regex(%3Fname%2C%22%5BDd%5Dendrite%22))%0A %7D%0A !SosomeoneelsecanbuildsomethingbeHer

ButanswersarealsoavailablebyaTTP“GET”

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Alan Ruttenberg!

Neuroinformatics 2009!

Useinterfacetoolkits–e.g.Exhibitarebeing

builttoacceptRDF/SPARQL

Credit: Eric Neumann

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Alan Ruttenberg!

Neuroinformatics 2009!

Wearealwaysaskingques-ons•  Forwhatneurologicaldisordersarecelllinesavailable?•  ForParkinsonsdisease,what-ssueandcelllinesareavailable?

•  Givemeinforma-ononthereceptorsandchannelsexpressedincor-calneurons

•  Whatchemicalagentscanbeusedvisualizingthenervous

system?

Aques-onIwasaskedCreate a system that will let us prioritize an expected 2000 siRNA hitsaccording to whether there is chemical matter for studying them, e.g. validated

antibodies, since we can only follow up on 600.

We know how to use Semantic Web technology to answer thesekinds of questions

(but there is no free lunch)

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Alan Ruttenberg!

Neuroinformatics 2009!

Amomentinthelifeofanontologist:

Untanglingtermsthatmixupfunc-onandmaterial

•  Ligand

•  NeurotransmiHer•  ormone

•  Pep-de

Lookingforpep<des? 

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Alan Ruttenberg!

Neuroinformatics 2009!

Refactoringtomaximizeconnec-ons•  Pep<deReceptorLigandApep(dethathasa

func-onwhichmakesitabletobindtoareceptor•  Pep<deNeurotransmi(erApep(deexpressedina

neuronthathasafunc-onwhichmakesitabletoregulateanotherneuron•  Pep<deHormoneApep(dethatproducedinone

organandhavinganregulatoryeffectinanotherorgan.

•  Pep$deA“short”polymerofaminoacidsLookingforpep<des? 

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Alan Ruttenberg!

Neuroinformatics 2009!

Pep-desfromCEBI

ChemicalEn--esofBiologicalInterest

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Alan Ruttenberg!

Neuroinformatics 2009!

HormoneAc<vity from

GOMolecularFunc-on

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Alan Ruttenberg!

Neuroinformatics 2009!

8/3/2019 A Semantic Web for Neuroscience What Could That Mean

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Alan Ruttenberg!

Neuroinformatics 2009!

FromEnglishtoOWL•   ALLinstancesofPep$deHormoneareaninstanceofPep$de

thathas_roleSOME instanceofHormoneAc$vity

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Alan Ruttenberg!Neuroinformatics 2009

!

chebi:25905=<hGp://purl.org/obo/owl/CHEBI#CHEBI_25905>

From English to OWL

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Alan Ruttenberg!Neuroinformatics 2009

!

EachURIprovidesawaytoaccessusefulinforma-onforpeople

…andmachines

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Alan Ruttenberg!Neuroinformatics 2009

!

<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="http://ashby.csail.mit.edu/cgi-bin/obiterm.xsl?ref=OBI_0000225"?><owl:Class rdf:about="&obo;OBI_0000225"><obo:OBI_0000274 rdf:datatype="&xsd;string">Jennifer Fostel</obo:OBI_0000274><obo:OBI_0000275 rdf:datatype="&xsd;string">site is a material (building) having the role site</obo:OBI_0000275><obo:OBI_0000275 rdf:datatype="&xsd;string">solution1: is a physical location, should maybe go under processual

context, and then be used in conjunction with the located relation</obo:OBI_0000275><obo:OBI_0000275 rdf:datatype="&xsd;string">solution2: site is related to trial used located_in relation –

site can bear the role</obo:OBI_0000275><obo:OBI_0000281 rdf:resource="&obo;OBI_0000320"/>

<obo:OBI_0000287 rdf:datatype="&xsd;string">A field, a laboratory, a medical institute, a pharmaceutical company</obo:OBI_0000287><obo:OBI_0000288 rdf:datatype="&xsd;string">Investigation site</obo:OBI_0000288><obo:OBI_0000291 rdf:datatype="&xsd;string">Investigation site is a role born by a site or material realized in an investigation

which islocated at the investigation site</obo:OBI_0000291>

<dc:creator rdf:resource="&obo;obi/project"/><rdfs:isDefinedBy rdf:resource="&obo;obi.owl"/><rdfs:label rdf:datatype="&xsd;string">investigation site role</rdfs:label><rdfs:subClassOf rdf:resource="http://www.ifomis.org/bfo/1.1/snap#Role"/>

</owl:Class><doap:Project rdf:about="&obo;obi/project"><doap:browse rdf:resource="http://obi.svn.sourceforge.net/viewvc/obi/"/>

<doap:bug-database rdf:resource="http://sourceforge.net/tracker/?group_id=177891&amp;atid=886178"/><doap:homepage rdf:resource="http://obi.sourceforge.net/"/><doap:mailing-list rdf:resource="mailto:obi-devel@groups.google.com"/><doap:release rdf:resource="&obo;obi/version-2008-03-10"/><doap:repository rdf:resource="http://obi.svn.sourceforge.net/svnroot/obi/"/><doap:wiki rdf:resource="https://wiki.cbil.upenn.edu/obiwiki/index.php?title=HomePage"/>

</doap:Project><doap:Version rdf:about="&obo;obi/version-2008-03-10">

<doap:file-release rdf:resource="http://purl.org/obo/2008-03-10/obi.owl"/><doap:file-release rdf:resource="http://purl.org/obo/obi.owl"/>

</doap:Version>

</rdf:RDF>

What’sreallyathHp://purl.org/obo/OBI_0000225

Don’treadthis(butmachinesloveit!)

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Alan Ruttenberg!Neuroinformatics 2009

!

NeuronDB•  Startedwithhomegrownontology.Problem:owtolink

withanythingelse

•  Eg.Nolinkstoevidence,“receptors”versusproteinswithreceptorac-vity(likeGOA)

•  Process:fixingOWL,understandingGOandmakingrepresenta-oncompa-ble

•  Augmentedwhatwasinontology,e.g.provenance

•  EndedwithsomethingthatlinkedwithGOFunc-onand,

viathat,therestoftheNeurocommons•  Takeaway:avingyourownontology:Nice.Beingableto

connectyourdatatotherestofknowledge:Priceless!

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Alan Ruttenberg! Neuroinformatics 2009!

Inconsistency!

•  OnceNeuronDBwasrepresentedusingthismethodology,andanOWLreasonerwasrun,itdeclaredtheontologyinconsistent

•  Problem:Therearecontradictoryasser-onsaboutwhetherapar-cularioniccurrentoccursinapar-cularcelltype.

•  Whattodo?

•  InconsistencyisNOTacceptable,butthiscanberesolvedbythinkingaboutabitaboutwhatthe

resourcesistryingtoaccomplish.

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Alan Ruttenberg! Neuroinformatics 2009!

ThreeWaysofRepresen-ng

Scien-ficKnowledge

•  Recordlevel :Representdatabaserecords.Inconsistentiftwosourcesdisagreeaboutcontentsofafield.

•  Statementlevel :Representwhatresearcherssay.Inconsistentiftwopeopledisagreeaboutwhatapapersaid

•  Domainlevel :OBOFoundryapproach.Representyourbestunderstandingofourconsensusofwhatexists.Inconsistentiffactscontradict.

Weneedallthree(butmakeclearwhichiswhich)

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Alan Ruttenberg! Neuroinformatics 2009!

owtoBuildConsensusaroundOntology

•  Understandwhattermsmeanbyrela-ngthem(tracingthem)toelementsinreality.Orsaywhenyouarenot.

•  Knowwhattheinstancesare

• 

Askyourselfhowinstancesarerelatedtoeachother•  Defineclassesasgroupsofinstancesthathaveshared

proper-es

•  Documentandorganizethisknowledgeinawaythat

canbemanagedinadistributedmanner•  TheproductofthiseffortisyourOntology

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Alan Ruttenberg! Neuroinformatics 2009!

OBOFoundryWhat

AsubsetofOBOontologieswhosedevelopershaveagreedinadvancetoacceptacommonsetofprinciplesreflec-ngbestprac-ceinontologydevelopment

designedtoensure§  -ghtconnec-ontothebiomedicalbasicsciences

§  compa-bility

§  interoperability,commonrela-ons

§  formalrobustness

§  supportforlogicbasedreasoning

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Alan Ruttenberg! Neuroinformatics 2009!

OBOFoundryow

•  Collabora-on

•  Peerreview

•  Designprinciplesevolveaswelearn•  AHribu-onatalllevels–Duecredit

•  Metricstomeasureprogressand

effec-veness

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Alan Ruttenberg! Neuroinformatics 2009!

SelectedOBOOntologies•  GeneOntology(GO)

•  Rela-onOntology(RO)

•  ChemicalEn--esofBiologicalInterest(CheBI)

•  PhenotypeOntology(PATO)

•  OntologyforBiomedicalInves-ga-ons(OBI)•  CellOntology(CL)

•  ProteinOntology(PRO)

•  Founda-onalModelofAnatomy(FMA)

• 

SequenceOntology(SO)•  SubcellularAnatomy(SAO)

•  Informa-onAr-fact(IA0)

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Alan Ruttenberg! Neuroinformatics 2009!

INCFProgramforOntologyofNeural

Structures(PONS)•  Ini-algoals:Commonsetofiden<fiers,terms,

anddefini<ons,iden-fyingelementsof

neuroanatomicstructureandtypesofneurons•  Threetaskforces:

 –  StructuralLexicon

 –  NeuronalRegistry

 –  Representa-onandDeployment

•  AlsoliasonwithDigitalAtlasingtaskforce

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Alan Ruttenberg! Neuroinformatics 2009!

TheNeuroCommons

•  Builtonopenresources:publicdomain,opendatabases,openliterature

•  Encodedusingopenarchitecturesandtechnicalstandards–OWL,SPARQL,OBO

•  Promo-nglegalpredictabilityandcertainty•  Licensesthatareeasytouseandunderstand

•  Thatimposethelowestpossibletransac-oncostsonusers

•  Thesupportthefreedomtointegrate

•  Scou-ngoutissuestobeimportantinbuildingaseman-cwebforneuroscience

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Alan Ruttenberg! Neuroinformatics 2009!

ElementsofthewebofNeuroscience–

Veryconnected!•  structure,connec-vity•  physiology,pathophysiology•  func-on,malfunc-on

•  molecularmechanism•  disease,injury•  experimentalmaterialsandmethod•  pa-ents,clinicaldiagnosis,devices,treatments

•  studies,measurements,images•  publica-ons•  models,simula-ons,hypotheses,predic-ons

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Alan Ruttenberg! Neuroinformatics 2009!

ChallengesonthewaytotheSeman-c

WebforNeuroscience•  Neuroscience–largedomain,rapidlyadvance

•  Buildingquality,durable,maintainable

ontologiesisdifficult–anotherdevelopingscience

•  Sociology–therearebarrierstosharing–we

needtounderstandthemandlearnwaysto

overcomethem

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Alan Ruttenberg! Neuroinformatics 2009!

OBOFoundryWhat

AsubsetofOBOontologieswhosedevelopershaveagreedinadvancetoacceptacommonsetofprinciplesreflec-ngbestprac-ceinontologydevelopmentdesignedtoensure

§  -ghtconnec-ontothebiomedicalbasicsciences

§  compa-bility

§  interoperability,commonrela-ons

§  formalrobustness

§  supportforlogicbasedreasoning

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Alan Ruttenberg! Neuroinformatics 2009!

OBOFoundryow

•  Collabora-on

•  Peerreview

• 

Designprinciplesevolveaswelearn•  AHribu-onatalllevels–Duecredit

•  Metricstomeasureprogressand

effec-veness

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Alan Ruttenberg! Neuroinformatics 2009!

SelectedOBOOntologies

•  GeneOntology(GO)

•  Rela-onOntology(RO)

•  ChemicalEn--esofBiologicalInterest(CheBI)

• 

PhenotypeOntology(PATO)•  OntologyforBiomedicalInves-ga-ons(OBI)

•  CellOntology(CL)

•  Founda-onalModelofAnatomy(FMA)

•  SequenceOntology(SO)•  SubcellularAnatomy(SAO)

8/3/2019 A Semantic Web for Neuroscience What Could That Mean

http://slidepdf.com/reader/full/a-semantic-web-for-neuroscience-what-could-that-mean 39/39

Alan Ruttenberg! Neuroinformatics 2009!

Wrapup

•  It’sworthaHemp-ngtoconstructaseman-cwebforneuroscience

•  Seman-cwebtechnologiespresentopportuni-es

fordataintegra-onatwebscale(andcorrespondingefficiencies)•  Thereisagrowingcommunityofbiologistsand

neuroscien-stsbuildingontologies,viatheOBOFoundry,PONS

•  Pleasedevotesomesmallpercentageofyourthoughtstotheopportuni-esforintegra-ngyour workintothiseffort!

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