thesis part iii

8/6/2019 thesis part iii

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greatoppoftunity or the author o investigate reasof high nterestsuchas agent echnologiesnd nformation etrievalmethods'

F u t u r e w o r k

In a future release he followingproposed xtensionso thisprojectmust be aken nto account:

. Agent echnology mployment:Especiallyordisturbed rocessing,ccordingo what t wasextract rom literature eviewagent s a con-venient echnique o implement istributingcomputingacilities.By distributinghe proc-ess load we expect o get faster resultsandimprove he systemperformancen terms ofthe time that is requiredby the system toprovide esults.

o Termweighting:Somepapers Tumey,2005)suggests he transformof word frequenciesusing he logarithmic ransformation nd theapplicationsf the term entropyas a measureof terms mportancen context.

. An adequate ser nterfacemust be producedin order o improveuserexperience

. Personalizedearchmethodsmust be testedIt is possiblehat we can performsuch asksby creating serprofileswhichwill contain hespecificuser search nterests and combine

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that data with extendedus e of agent technol-ogy.

o An improved version of this proiect will in-cludeextensiveuse of database eatures'An -other improvement ca n be the use of Hiber-nating technologywhich sagest he encapsu-lation of java objects in a databaseschema(Hibernate,005).a

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Bib iog aphyALEXANDROU, . (2006) SystemsDevelopment ifeCycle SDLC)htto / /www.mar iosalexandrou.com/methodolooies/systemsevelopment l i fe cvcle.asp tO/4/2006)BADAL,D. & DAVIES,M. Retrieval f Unstructured extBARRETT,,, M. (1997) Simulating equirements athering.TechnicalSymposium on Computer ScienceEducation.San Jose, California,UnitedStates,ACMPress New York, NY, USA,BHATTI,N., BOUCH,A., UCHINSKY,A.ntegratingUser-Perceived ua it yinto Web ServerDesign ht to: / /www9.oro/w9cdrom/92l92,html

2/4/2006C.l . VAN RIJSBERGEN,. E. R. A. M. F. P. (1980)Newmodels n probabi l -istic nformation etr ieval.DEERWESTER,. C., DUMAIS, , T. , LANDAUER,, K., FURNAS, , W, &HARSHMAN,.A. (1990) ndexing y LatentSemant ic nalysis.Journal of the American Society of Information Science, 47, 391-407.DOSZKOCS,. E. R.,J. ; LIN,X (1990)Connect ionist odels nd Informa-tion Retrieval.Annual Review of Information Scienceand Technol-og y (ARIST),vol. 25., 209-260.DR VRUSIAS. (2005) CS364 Artificial ntelligence lI/2OOshtto /oortal.su rey,ac ,uk/porta /page? pageid= 798.463237& dad=ooftal& schema=PORTAL0/2005FALOUTSOS,. & OARD,D. W, (1995) A Surveyof Info rmation Retrievaland Fi l ter ingMethods.FOWLER, , (2002)The Agi leManifesto: here t came rom and where tma y go http /www. ma tinfower . om/a ticles/a ileStory .ht m2/04/2006GONCALVES,.A,, FRANCE, . K. , FOX,E. A, & DOSZKOCS,. E,MARIAN:Searching nd QueryingacrossHeterogeneous ederatedDigitalLibrariesHIBERNATE2005) RelationalPersistenceor Javaand .NET* http://www.hibernate,org/ 0/4/2006INC.,C, (2000)What s RapidAppl icat ionDevelopment RAD.)?..2O4 2006JARVELIN, ., KEKALAINEN,. (2000) IR evaluationmethods or retrievinghighly relevantdocuments.AnnualACMConference n Researchand Development n Information Retrieval.Athens, ACMPressNew York, NY,USA.JENKINS, . M, (1985)"Prototyping: Methodologyor thedesignan d Development f Applications ystems".Spectrum,,2.JUSTTCE,. S. D. O. (2003) NFORMATTONESOURCESANAGEMENThttp /www. usdoj. ov/jmd/i m/ l fecvcle/ta le. tm t0 2005LEE,D. L,, KIM, Y. M. & PATEL,G. (1995) EfficientSignatureFileMethodsfor Text Retrieval.Knowledgeand Data Engineering,7, 423-435.LOWE,D., WENDY,H. (1999) Hypermedia nd the Web,Wiley

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MCCONNELL, , (2004) Code Complete, Second Edition, Microsoft Press,MOCK, . J , (1996) Hybr idHi l l -Cl imbingnd Knowledge-Basedethodsfor Intelligent News Fiftering.AAAVIAAI, Vol. 1.MOSOUD, ,, JENTZCH, , (2004)Computat ionalntel l igence echniquesDriven ntel l igent gent or Web DataMining SBN:159140PARKER, . C. (1983)The Evolut ion f Management ecis i onSupport Systems",. Information Systems, 4, 56-65.PITIKARIS, ,, PAPADOUMKIS,G., IKITAKIS,M., WARE, ., A. TSAGA-TAKIS,G. (2002) Digital ibraries: nformation etrievalwith neuralnetworks. IN LARISSA,T. E. L O. (Ed,) Hellenic ConferenceonAc adem c Lib a ries,La issa,Tech olo ica EducationaInstitute ofLarissa

RICHARDSON,., DOMINGOS, , (2002)T$e ntel l igentSurfer:Probabilist ic ombination f Link and Content nformati on nPageRank.Advances n Neural Information ProcessingSystems.Vancouver,Canada,December -14, MIT Press,SOCIETY, (2004) Internet Society2004 AnnualReport.Geneva,Swit-zerland, nternet Society,THER,H., H, (2993)Topic-Sensi t iveageRank: Context-Sensi t iveank-ing Algorithm for Web Search EE TRANSACTION N KNOWLEDGEAND DATA ENGINEERING,4,784-796.TSAGATAKIS, ., PLESSAS,., PITIKARIS, . (2005) InformationSocietyCommitteecall No 114: An e-governmentplatform or LasithiPre-fecture.Agios Nikolaos, echnologicalnstituteof Crete.TURNEY, ., P. (2005) MeasuringSemanticSimilarityby Latent RelationalAnalysis. Nineteenth nternationalJoint Conferenceon Artificial In-telligence.Edinburgh,Scotland,URQUHART, . (1999) Themes n early requirements athering:Th e caseof the analyst, he cli ent and the stu dent assistance cheme. n-formation Technology& People, 2, 44 - 70.VAN PETTEN , K. M. (1991) Influences f semantican d syntacticcontexton open- and closed-class ryords'. em Cognit., 95-712.VAUGHAN-NICHOLS,. J. (2003)The batt leover he universal ava DE.Computer ,36t2I-23.WIKIPEDIA 2005) Softwaredevelopmentprocess.Wikipedia.WIKIPEDIA2006a)PageRankhttp //en,wikip_edia,rglwikilPa eran # Si mplif i d Pa eR a k a gorithm 4/2006WIKIPEDIA 2006b) Requirements nalysishttp://en.wikipedia.orglwiki/Requirements nalysis4/2006WIKIPEDIA 2006c) System Development ife Cyclehtto://en.wikipedia.oro/wiki/Svstem evelopment Life Cvclet0/04/2006WOOLDRIDGE1995) Intell igentAgents:Theoryand Practice. nowledgeEngineeringReview, VOL 10, 115-152.ZAPHIRIS, , & ZACHARIA, . (2001)DesignMethodology f an Onl ineGreek LanguageCourse

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I N D E X

Adaptivemethods,29 InformationRetrieval, , 4, t8,Agent, 4, 56, 67 76, 77 80 4t, 71, 76, 79Ag i fe , , i i i , v ,25 ,27 ,28 ,29 ,79 In te l l i gen t gen ts ,20Agile Software Development, Intergraded Developmenti ,25, 27 Environment evelopment,i

CapabilityMaturity Model,22 feb, ZSCoding,13, 33 loint applicationdevelopment, 25D Joint application developmentDesignoverview, i, 58 (JAD' 25Distributed agents, 21 LDocumentation, 33, 59 LatentSemantic ndexing, , 16E LSA, 7, t8, 43, 67, 73, 76, 85External nterface Requirements, LSI' 16

i , 4 7ExtremeProgramming 26,29, M30 Maintenance,33,36Matrix, iii, 64, 67F Methodology,,26, 3t , 51,79,Facil i t ies,i, 58 80fountain modet, 25 Multi-agent ystems' 21FunctionalRequirements,, 44 ,4 g ' ' N NaturalLanguage rocessing,,G 1 5Google,v,3,5, ,g, 42,::, ::, ilil:ij Networks' ^46, 47 , 49, 52, 55, 57, 62, 66,

7 2 , 7 6 PH PerformanceRequirements,, 49

Hash Map, 42,53, 6 9 Predictivemethods,29HashMap, 2 50, 52, 64, 66,67 Projectdevelopmentprocess',i' ,Prototype, i, 71PrototypingMethodology, 6, 3t

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an d AbbreviatioAppendix1. Defi nsbLSA LatentSemanticAnalysisA mathematical/statisticalechnique or extractingan d representing th e similarity of meaning ofwords and passages y analysis of large bodiesoftext,

SV D SingularValue Deco'inpositio nis a method to factorize a rectangular real orcomplexmatrix

SRS Softwa e Requrements SpecificationTCP Transmission ontrolProtocol

On e of the core protocolsof the Internet protocolsuite. UsingTCP, applications n networked hostscan create connections o one another, over whichthey can exchangedata or Packets

JVM JavaVirtual MachineDRAM DynamicRA M

Specific ype of computermemory2D TwoDimensionsM B Megabyte

Computermeasurementunit for storagemedia'

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equation)hat are sometimes lsoknownas char-acteristicoots,characteristicalues Hoffman ndKunze 971),proper alues, r latent oots

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thesis part iii

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