 it performs in exactly the same way, though perhaps not at the same speed. A typical example would be emulation of one computer by (a program running on) another. You might use an emulation as a replacement for a system whereas you would use a simulation if you just wanted to analyze it and make predictions about it." -The Free Online Dictionary of Computing. c© 1993-2000 1995-05-12 Aggregation is the process of collecting together (aggregating) information from multiple sources. In order to increase semantic value of aggregation, a process of curation is often applied, which is done by humans who are making sense by synthesis and contextualization of aggregated information. The next step we may hope for is semantic web performing automatic intelligent aggregation and curation of information. Information Visualization Information visualization is the interdisciplinary study of "the visual representation of large-scale collections of nonnumerical information, such as files and lines of code in software systems, library and bibliographic databases, networks of relations on the internet, and so forth", [Fri08]. [Che10] gives the following more general definition: "Information visualization is concerned with the design, development, and application of computer generated interactive graphical representations of information." In the more narrow sense, visualization deals with abstract, nonspatial or qualitative data which are transformed and represented so as to best impart meaning, using information design methods. Scientific Visualization on the other hand is more straight-forward in a sense of interpretation as the data usually are numerical. As [Che10] points out, the main goal of information visualization is for users to gain insights, so its role is to provide cognitive tools contributing to extended cognition. The graphical representation of information is particularly suitable due to the massive hardware support for processing visual information which we have in the nervous system and especially in the brain. Once the simulation output has been constructed, the visual format is most easily deconstructed/ decoded/ translated by the brain into its internal representations because of the substantial hardware support for the visual information processing. In simulation models visualization is usually an important part, often accompanied by interactivity and animation (behavior of the system in time, and that is where it connects to visual cognition. Google Earth as an Example of Visualized Content Aggregation on Different Levels of Resolution/Organization of Content Google Earth is a geographic information system presenting virtual globe which maps the Earth by the superimposition of satellite images, GIS 3D globe and aerial photography. It displays satellite images of varying resolution of the Earth's surface,
it performs in exactly the same way, though possibly not at the like amphetamine. A typical case would be emulation of one calculator by (a program running on) another. You might use an emulation as a successor for a system whereas you would use a model if you just wanted to analyze it and take predictions about it. " -The Free Online Dictionary of Computing. vitamin c © 1993 - 2000 1995 - 05 - 12 Aggregation is the process of collecting together (aggregating) information from multiple sources. In ordering to increase semantic value of aggregation, a process of curation is often put on, which is done by humans who are making sense by deduction and contextualization of aggregated data. The next step we may hope for is semantic web performing automatic healthy aggregation and curation of information. Information Visualization Information visualization is the interdisciplinary study of " the visual representation of large - scale collections of nonnumerical information, such as files and lines of code in software systems, library and bibliographic databases, networks of relations on the internet, and so away ", [ Fri08 ]. [ Che10 ] give the following more cosmopolitan definition: " data visualization is concerned with the design, development, and lotion of computer generate interactive graphical theatrical performance of information. " In the more narrow sense, visualization deals with abstract, nonspatial or qualitative data which are transform and represented so as to best impart meaning, using information invention methods. Scientific Visualization on the early bridge player is more straight - forward in a sense of interpretation as the data normally are numerical. As [ Che10 ] points out, the main goal of information visualization is for users to gain insights, so its character is to provide cognitive tools lend to extended cognition. The graphic representation of data is particularly suitable ascribable to the massive hardware support for processing visual information which we have in the anxious system and specially in the brain. Once the simulation output has been constructed, the visual format is about easily deconstructed/ decoded/ translated by the mind into its internal representations because of the substantial hardware support for the visual information processing. In simulation mannequin visualization is usually an important part, often accompanied by interactivity and vivification (demeanor of the system in time, and that is where it connects to visual cognition. Google Earth as an Example of Visualized Content Aggregation on Different Levels of Resolution / Organization of Content Google Earth is a geographic information system presenting virtual earth which maps the Earth by the superimposition of satellite images, GIS 3D ball and aerial photography. It displays satellite images of varying resolution of the Earth's airfoil,
 it performs in exactly the same way, thougk perha's not zt the sxme speed. A typical example xoule be tiulation of one cooputer by (a progrqm rnnning on) anothec. You minkt uss an zmnlation as a reklacement fos a system whesexs you would use a simulation if you tust wamtfd to analyze yt amq maiv kredictions about it." -The Free Onljne Dicuionary of Computimg. c© 1993-2000 1995-05-12 Aggregation is the orocfss of collecting hogether (agtregwring) informagion from multiple soutces. In order to increase semantkc vakue of aggtztatlmn, a procesw of buration is onnen appnied, whoch is done by hukanw who are making sensx by synthesis and cjntextualhzction of aggregated ibfirmathon. Dhe vwxt sttp xe jay hooe hor is semahtic web peeforming automatic onevkligent aggrsgatiog wnd curation of information. Information Viaualization Information visualization is the interdissiplinary study of "the visual representation of ldrge-sraue eillecguojs of nonnumerical information, such as files whd lpnes of code in sjftware sysyels, jibrary and bkbliogxzpgic databases, netwlrks of relarions on uhe imternet, and so forth", [Fri08]. [Chw10] gives the yoloowing more generap definitiou: "Infotmatiom visualization is conczrned sith the dedign, devemupment, and applizatpon mf compuudr generated intewactive gcaphieal reprdsenjations of informwtion." In the more narrow sensg, visudlization feals with abstract, nonspatial or qualitative ddta which axe traksformed and re[resented so ax to beft imoart meanihg, usinj informatiog design methmfs. Scientifir Visualisatiin ob the ogfer hand is mote straigku-forward ib a sense of interiretajikn as the data broqlly are numerocau. Af [Bhe10] pjhnts out, the maiv gusl of informatiok vksuakization is for userv to gain insights, so otf role iw to prodide cognitivr tools contributijg to exvended codnition. The graphical represenfation of innormation is [artlculwrly suitayle due to the massive hardware support hor processing visual ibformation which we mave in the iervouf system dnd especially in thw brain. Once the ximulation output has been wonstgucted, the visual format is most easily deconstructed/ decoded/ translated vy the brain into jts ontertaj reprefentetmons because of tne substantial hardware support for the vnsual information processing. On simulation mudels visualization is uaually am important part, often accompanoed by interactivity and animatiin (begavior of vhe system in time, amd thac is wyere it conkects to visuau cpgkition. Goohle Tartk as an Example of Visualized Conrent Atggegation on Diffxrent Levels uf Reaolutijn/Organization or Cohhent Eoogle Earth os a geographiv information system pwesenting virtyzl globe whivh makw the Earth by the superikposition of satellite images, GIS 3D globe and aeriam photogrzphy. It dmsplays satellove images of varying resplttion of the Earth's vurface,
it performs in exactly the same way, not the same A typical example computer (a program running another. You might an emulation as a replacement for system whereas you would use a simulation if you just wanted to analyze and make predictions about it." -The Free Online Dictionary of Computing. c© 1993-2000 Aggregation the of together (aggregating) information from multiple sources. In order to increase semantic value of aggregation, a process curation is often applied, which is done by who are making sense synthesis and contextualization of aggregated The step we hope is web performing automatic aggregation and curation of information. Information Visualization Information visualization is the interdisciplinary study of "the visual representation large-scale collections information, such files lines code in software and bibliographic databases, networks of relations and so forth", [Fri08]. [Che10] gives the following general definition: visualization is concerned with the design, and application of computer generated interactive graphical representations information." In the more narrow sense, visualization deals with abstract, nonspatial or qualitative data which and represented so as best impart meaning, information methods. Visualization the other is more straight-forward in a sense of interpretation as the data are numerical. As [Che10] points out, the main goal of is users to gain so its role is provide tools contributing to extended graphical of suitable to massive hardware support for visual information which we have the nervous system and the simulation output has been constructed, the visual is most easily deconstructed/ decoded/ translated by brain into its internal representations because of the substantial hardware support for visual information simulation models visualization is usually an important part, accompanied by interactivity and (behavior of the system in time, and that is it to visual Google Earth as Example of Visualized Aggregation on Different Resolution/Organization of Google is system presenting virtual globe which maps Earth the superimposition of satellite images, 3D aerial photography. It displays satellite images of varying resolution of the Earth's surface,
 it performs in exactly the samE way, though PerhaPs nOt aT tHe saMe spEed. A typical exaMPle wOuld be emulation of one coMputeR bY (A proGRaM runnIng on) anOThER. you MiGhT usE aN EmUlatiOn aS a replaCement for a SysTeM whereas you wOUlD use a simulAtiOn if you just wAntEd to anAlYze IT and mAke PrediCtions ABout it." -the Free OnLiNE DictiONary of COMPuTing. C© 1993-2000 1995-05-12 Aggregation is the PRoCEss of collectinG togetHeR (AgGREgaTinG) informatiOn From mULtiple sOUrCES. in oRDer to increase Semantic valUE of AggregAtIon, A ProcesS of cuRaTIon Is often applIed, wHich is donE by humANs who arE Making sEnse by SynTheSis aND cOnTexTuALizATiOn oF AggRegated iNfOrMatioN. The NEXT Step We mAy hoPe for Is semantic web PerFormINg aUtomaTic inTellIgEnt agGregatIon anD cUration of informAtioN. InformatIon viSuaLiZatioN informAtiOn vIsualizAtion is THe iNtERDIsCiplinary study of "thE vISUaL represeNtatioN Of LaRGe-scale cOlLecTionS OF nonnUmerICaL informaTion, suCH aS fIles and LiNes of cOdE in SofTware SYsteMs, librAry and biBliogRAphic databases, NEtworks of relaTIoNS On THe inTerNet, and so forTh", [FrI08]. [che10] gIves THe FolLOwing More gEnERaL Definition: "InformatiOn VisualIzatiOn is concerned With the desIGN, DevelopmEnt, aND aPPlication of comPuter Generated iNTeractivE grapHical repResentatiONS of inforMatIon." in tHe mORE nArrow sense, visUALizaTiOn deals WitH abstraCt, nOnsPatIal Or QualitatiVe data whIcH aRe TrAnsFormeD And repreSeNteD sO as To besT Impart MeaniNg, usInG iNForMation dESiGN MethOdS. SCienTifIc visuaLizaTIon On the otHer hand is MorE StraIgHt-Forward In a sense of intErPretation aS tHe dAta usuALLy are numErical. As [Che10] points out, the MAin goal Of iNformAtioN visualizAtiOn is foR usERs to gaIn insiGhts, sO iTs rOLE is to PROvIde CoGnitive tooLS ConTribuTiNg to ExtendeD cognition. The graphICal RepresentatioN of InfoRMAtIon IS pARtiCuLArlY SUitable due to the Massive harDwARe Support for PRocEsSing visUal infoRmatiON which wE have in thE nervous sYsTem aND EspEcially in tHe brain. ONce the simULatioN OuTput hAs bEen conStRucTed, thE visuaL ForMat is Most eaSiLy decoNstruCtEd/ decodeD/ translated by the brain inTo its iNternAl rEpresentaTioNS beCause of thE subStantial haRdwAre SuppoRt fOR the vIsuaL InForMAtion ProcESsing. In siMUlAtiON MoDels visualiZATIon Is usuAllY An impoRtanT part, often accompaNIed by interactiVity AND anImaTIon (bEhAvior of the systEm iN tIME, and that Is Where it connEcts to viSuAL cognItion. GOogle EArth as aN eXaMPle of VIsuaLizEd Content aggReGAtion on diFfERent LeVels Of resoluTion/OrGAnizATIon of Content GoogLe EarTH Is a geOGraPhic iNfOrmatioN SystEm presentiNg virtual glObe whiCh maPs the earth by ThE superImpOsItion of satELlite imagEs, GIS 3d globe aNd AeriAl pHotogrAphy. iT DisplAys sAtEllIte images OF VaRYiNg REsoLutiOn of tHe eartH's surface,
 it performs in exactly th e same way , tho ugh  pe rh apsnotat the same sp e ed.A typical example woul d beem u lati o nof on e compu t er b y ( apr ogr am ru nning  on ) anoth er. You mi ght  u se an emulat i on  as a repl ace ment for a s yst em whe re asy ou wo uld  usea simu l ationif you ju st wanted to anal y z eit a nd make predictio n sa bout it." -The  FreeOn l in e Dic tio nary of Co mp uting .  c© 199 3 -2 0 0 0  19 9 5-05-12 Aggre gation is t h e p rocess  o f c o llecti ng to ge t her  (aggregati ng)informati on fro m  multip l e sourc es. In  or der  toi nc re ase  s e man t ic  va l ueof aggre ga ti on, a  pro c e s s  ofcur atio n isoften applied , w hich isdoneby hu mans  w ho ar e maki ng se ns e by synthesisandcontextua liz at ion  o f agg r egated  in for mation.  The ne x t s te p w emay hope for is se ma n t ic  web per formin g  a ut o matic in te lli gent a ggreg atio n  a nd curat ion of in fo rmation .Inform at ion  Vi suali z atio n Info rmationvisua l ization is the interdiscipli n ar y st u dy o f " the visualrepr e sent atio n  o f l a rge-s caleco l le c tions of nonnumeric al  infor matio n, such as fi les and li n e s  of code  ins of t ware systems,libra ry and bib l iographi c dat abases,networkso f  relatio nsonthe  in t e rn et, and so fo r t h",[F ri08].[Ch e10] gi ves  th e f oll ow ing moregeneralde fi ni ti on:  "Inf o rmationvi sua li zat ion i s  conce rnedwith  t he des ign, de v el o p ment ,an d ap pli ca tionof c o mpu ter gen erated in ter a ctiv egr aphical  representati on s of infor ma tio n." In t he morenarrow sense, visualiza t ion dea lswithabst ract, non spa tial o r q u alitat ive da ta wh ic h a r e  tran s f or med  a nd represe n t edso as  t o be st impa rt meaning, usingi nfo rmation desig n m etho d s .Sci e nt i fic  V i sua l i zation on the o ther handis mo re straigh t -fo rw ard ina sense  of i n terpret ation asthe dataus uall y are  numerical . As [Ch e10] poin t s out ,  t he ma ingoal o finf ormat ion vi s ual izati on isfo r user s toga in insig hts, so its role is toprovid e cog nit ive tools  co n tri buting to  ext ended cogn iti on.  Thegra p hical  rep r es ent a tionof i n formation is  pa r t ic ularly suit a b l e d ue to  th e  massi ve h ardware support f o r processing v isua l inf orm a tion  w hich we have i n t he n ervous s ys tem and esp eciallyin the b rain.Once t he simu l a ti o n outp ut h asbeen cons tru ct e d, thevi su a l form at i smost e asilyd econ s t ructed/ decoded/  tran s l atedb y t he br ai n intoi ts i nternal re presentatio ns bec ause  of t he subs ta ntialhar dw are suppor t  for thevisua l infor ma tion  pr ocessi ng.I n  simu lati on  mo dels visu a l iz a ti on isusua lly a nimpo rtant par t , oftenacc o mpanied  b y i n t eracti v it y and animat ion  (beh a v ior of the syst e mi n tim e, and  thatis wher e  it  c onnects  to v isual cog nition. G o ogl eEart h as anEx ampl eofVi sualized Conten t Aggreg ation on D iffere ntL evel s  of Re so lution/Organ izati on of Cont e n t G oogle E a rth  is  ageog rap hici nformation system presen ting  virt u alglobe  whic hmaps the Eart h by the superimpositi on of satellite ima g es,GIS 3D  g lobe andaer i al ph otog rap hy.Itdisp l a ys s a tell i te  ima ges of  var yi ng  resoluti on  of the Eart h 'ssurf ace,
 it_performs in_exactly the same way,_though perhaps_not_at the_same_speed. A typical_example would be_emulation of one computer_by (a program_running_on) another. You might use an emulation as a replacement for a system whereas_you_would use_a_simulation_if you just wanted to_analyze it and make predictions_about it."_-The Free Online Dictionary of Computing. c© 1993-2000_1995-05-12_Aggregation is the_process of collecting together (aggregating) information from multiple sources._In order to increase semantic value_of aggregation, a_process_of_curation is often applied,_which is done by humans who_are making sense by synthesis and_contextualization of aggregated information. The next step_we may hope for is semantic_web performing automatic intelligent aggregation_and curation_of information. Information Visualization Information_visualization is the_interdisciplinary study_of "the visual_representation of large-scale collections of nonnumerical_information, such as_files and lines of code in_software_systems, library and_bibliographic_databases,_networks of_relations on the_internet,_and so_forth",_[Fri08]. [Che10] gives the following more_general_definition: "Information visualization is concerned with the_design, development, and application_of_computer generated interactive graphical_representations of information." In the_more narrow sense, visualization deals with_abstract, nonspatial_or qualitative_data which are transformed and represented so as to best impart_meaning, using information design methods. Scientific_Visualization on the other_hand is_more_straight-forward in a_sense_of interpretation_as the data usually are numerical. As_[Che10] points_out, the main goal of information_visualization is for users_to_gain insights, so its role is_to provide cognitive tools contributing to_extended cognition. The graphical representation_of_information_is particularly suitable due to_the massive hardware support for processing_visual information which_we have in the nervous system and_especially_in the brain. Once the simulation_output_has been constructed, the visual format_is_most_easily deconstructed/ decoded/ translated by_the brain into its internal representations_because of the substantial hardware support for the visual_information processing. In_simulation models visualization is usually_an_important_part, often accompanied by interactivity and animation (behavior of the_system in_time, and that_is where it connects to visual cognition. Google Earth as_an Example of Visualized Content Aggregation on_Different Levels of Resolution/Organization of Content Google Earth is a geographic_information system presenting virtual globe which maps the_Earth by the superimposition of satellite images,_GIS 3D globe and_aerial_photography. It displays satellite images of varying_resolution_of_the_Earth's surface,