+ All Categories
Home > Technology > SEASR Overview

SEASR Overview

Date post: 15-Nov-2014
Category:
Upload: loretta-auvil
View: 904 times
Download: 0 times
Share this document with a friend
Description:
Presentation given introducting SEASR on Mar 31, 2009 for ICHASS to the faculty from the UIUC Department of African American Studies
Popular Tags:
15
SEASR National Center for Supercomputing Applications University of Illinois at Urbana-Champaign Loretta Auvil [email protected] The SEASR project and its Meandre infrastructure are sponsored by The Andrew W. Mellon Foundation
Transcript
Page 1: SEASR Overview

SEASR

National Center for Supercomputing Applications!University of Illinois at Urbana-Champaign

Loretta Auvil [email protected]

The SEASR project and its Meandre infrastructure!are sponsored by The Andrew W. Mellon Foundation

Page 2: SEASR Overview

TheSEASRPicture

Page 3: SEASR Overview

SEASROverview

SEASRwill:•  helpscholarsaccessexis9nglargedatastoresmorereadily

•  providescholarswithenhanceddatasynthesisandqueryanalysis–  fromfocuseddataretrievalanddataintegra9on

–  tointelligenthuman‐computerinterac9onsforknowledgeaccess

–  toseman9cdataenrichment

–  toen9tyandrela9onshipdiscovery–  toknowledgediscoveryandhypothesisgenera9on

•  empowercollabora9onamongscholarsbyenhancingandinnova9ngvirtualresearchenvironments

Page 4: SEASR Overview

AQuickLookatSEASR

•  Addresses:– Challengesoftransforminginforma9onintoknowledge

– Construc9ngthesoGwarebridgestomovefromtheunstructuredandsemi‐structureddataworldtothestructureddataworld.

•  Aims:– Makedigitalcollec9onsmoreuseful– Provideaccesstorelevantanaly9csandvisualiza9ons

– EnableeasymashabilityviaSOA

Page 5: SEASR Overview

SEASR:Reach+Relevance+Reuse+Repeatability

SEASRemphasizesflexibility,scalability,modularity,providescommunityhubandaccesstoheterogeneousdataandcomputa9onalsystems–  Seman9cdrivenenvironmentforSOAinteroperability–  Encouragessharingandpar9cipa9onforbuildingcommuni9es–  Modularconstruc9onallowsflowstobemodifiedandconfiguredto

encouragereusabilitywithinandacrossdomains–  Enablesamashupandintegra9onoftools–  Data‐intensiveflowscanbeexecutedonasimpledesktoporalarge

cluster(s)withoutmodifica9on–  Computa9oncanbecreatedfordistributedexecu9ononserverswhere

thecontentlives–  Useraccessibilitytocontroltrustandcompliancewithrequiredcopyright

licenseofcontent–  ReliesonstandardizedResourceDescrip9onFramework(RDF)todefine

componentsandflow

Page 6: SEASR Overview

SEASRTextAnaly9csGoalsAddresstheScholarlytextanaly9csneedsby:

•  EfficientlymanagingdistributedLiteraryandHistoricaltextualassets•  Structuringextractedinforma9ontofacilitateknowledgediscovery•  Extractinforma9onfromtextatalevelofseman9c/func9onal

abstrac9onthatissufficientlyrichtosupportques9on‐answering•  Devisearepresenta9onfortheextractedinforma9onthatcanbe

efficientlyreasonedovertorecoverdataintheques9on‐answerprocess

•  Devisealgorithmsforques9onansweringandinference•  DevelopUIforeffec9vevisualknowledgediscoverywithseparate

querylogicfromapplica9onlogic•  Leveragingexis9ngapproachesanddevisealgorithmsforclustering,

inference,andQ&A•  DevelopinganInterac9onUIforeffec9vevisualdataexplora9on•  Enablethetextanaly9csthroughSEASRcomponents

Page 7: SEASR Overview

Workbench

•  Web‐basedUI

•  Componentsandflowsareretrievedfromserver

•  Addi9onalloca9onsofcomponentsandflowscanbeaddedtoserver

•  Createflowusingagraphicaldraganddropinterface

•  Changepropertyvalues•  Executetheflow

Page 8: SEASR Overview

CommunityHub

Page 9: SEASR Overview

SEASR@Work–Zotero

•  PlugintoFirefox•  Zoteromanagesthe

collec9on

•  LaunchSEASRAnaly9cs–  Cita9onAnalysisusestheJUNG

networkimportancealgorithmstoranktheauthorsinthecita9onnetworkthatisexportedasRDFdatafromZoterotoSEASR

–  ZoteroExporttoFedorathroughSEASR

–  SavesresultsfromSEASRAnaly9cstoaCollec9on

•  LaunchMONKProcessing–  MONKDBInges9onWorkflow

Page 10: SEASR Overview

WebService

Interac9veWebApplica9on

SEASR@Work–Fedora

Page 11: SEASR Overview

SEASR@Work–En9tyMash‐up

•  En9tyExtrac9onwithOpenNLP

•  Loca9onsviewedonGoogleMap

•  DatesviewedonSimileTimeline

Page 12: SEASR Overview

SEASR@Work–AudioAnalysis•  NEMA:ExecutesaSEASR

flowforeachrun

–  Loadsaudiodata–  Extractsfeaturesforevery

10secmovingwindowofaudio

–  Loadsandappliesthemodels

–  SendsresultsbacktotheWebUI

•  NESTER:Annota9onofAudioviaSpectralAnalysis

Page 13: SEASR Overview

SEASR@Work–MONK

Executesflowsforeachanalysisrequested– Predic9vemodelingusingNaïveBayes

– Predic9vemodelingusingSupportVectorMachines(SVM)

Page 14: SEASR Overview

SEASR@Work–DISCUS•  On‐demandusageof

analy9cswhilesurfing–  Whilenaviga9ng

requestanaly9cstobeperformedonpage

–  Textextrac9onandcleaning

•  Summariza9onandkeyworkextrac9on–  Listtheimportant

termsonthepagebeinganalyzed

–  Providerelevantshortsummaries

•  Visualmaps–  Provideavisual

representa9onofthekeyconcepts

–  Showthegraphofrela9onsbetweenconcepts

Page 15: SEASR Overview

SEASRandUIMA:Emo9onTrackingGoalistohavethistypeofVisualiza9ontotrackemo9onsacrossatextdocument(Leveragingflare.prefuse.org)


Recommended