SlideShare a Scribd company logo
1 of 25
Download to read offline
CIDOC CRM in Practice
               - Experiences, Problems, and Possible Solutions -




Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Background

           • BRICKS Project (2003 - 2007)
           • Goal
            • build an infrastructure for integrating contents
                        and metadata from heterogeneous sources
                 • build value added services on top

Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Background
           • Build an application that provides access to
                  archaeological findings from two distinct
                  institutions
           • Provided advanced search (e.g. faceted search)
           • Use the CIDOC-CRM to deal with metadata
                  heterogeneities


Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Background




Bernhard Haslhofer & Philipp Nussbaumer, November 2009
CIDOC CRM Mapping
       • Metadata Schemes:
                                                   !&,?@;                   A&589-                        !"#$%&'&(                  7&589-
                      .!#$%&'()*$+(*,-,*,




                                                                                                                                                 !"#$%&'()*$+(*,-,*,
                                                 )*+&,-./$&                  'B%&1                        )*+&,-./$&                :#$&121

                                                012"34&1523              ;&<2#5<"-52<                     012"34&1523             ;&<2#5<"-52<

                                               415#"1/6"-&15"%               65<-                       415#"1/6"-&15"%               65<-

                                             )*=&1>&C3&>,15$-52<      '&=&1>&C3&>,15$-52<                     )*=&1>&               '&=&1>&

                                            6&-923)(6"<B(",-B1&               DDD                             ;2<21                 ;2<21'&(



                                                            !/<-",-5,"%%/E"<3E>&#"<-5,"%%/E&FB5="%&<-              !&#"<-5,"%%/E&FB5="%&<-

                                                                                            G2E&FB5="%&<,&>




Bernhard Haslhofer & Philipp Nussbaumer, November 2009
CIDOC CRM Mapping
       • Sample Metadata Instance:
                                                                       !"#$%&'(
                                                              !"#$%&         !""#$%&'()*+"#,"%

                                                            '()"#*+,-"                '-./

                                                         '()"#*&".#/0-*012    0-12/34-563789

                                                              3"045*                 (:#%34

                                                         6/078/,98*"/08:              ;-56

                                                         9"*51;'<982=<>           <=>?@A3->3789

                                                                >>>                    :::




Bernhard Haslhofer & Philipp Nussbaumer, November 2009
CIDOC CRM Mapping
       • The CIDOC CRM:                                                                                          !""#&0?)I)<2()0'
                                                                                                                                        !"+#510?K<()0'

                                                                                                                                         EEE

                                                         !;#$0'?)()0'#:(2(-                                                            !;M#O)6K23#7(-.    !;J#7.2B-
                                                                                               !4#D<()P)(*           EEE
                                  !+#,-./0123#!'()(*                                                                                   !;"#>0<K.-'(         EEE
                                                             !=#5-1)0?          !8#!P-'(         EEE
                                                                                                             !4;#7'I01.2()0'#FGH-<(     !+C#>-6)B'#01#510<-?K1-
                                                                                                                                          EEE
                                                                                                                                                     !8M#N2'BK2B-
                                                             !4@#,A)'B        !++#&2'9&2?-#FGH-<(            !+J#$0'<-/(K23#FGH-<(
                                                                                                                                       !88#,*/-       !84#&2(-1)23
                                                             !;C#D<(01              EEE                        EEE
                                 !44#5-16)6(-'(#7(-.                                                                                     EEE         !8J#&-26K1-.-'(#L')(
                                                         !8"#$0'(2<(#50)'(      !=8#D??1-66
               !"#$%&#!'()(*
                                                                                !=+#FGH-<(#7?-'()I)-1

                                                          !="#D//-332()0'       !=C#,).-#D//-332()0'          !8@#>2(-
                                   !8+#,).-9:/2'
                                                                               !==#532<-#D//-332()0'         !=4#:/2()23#$001?)'2(-6
                                      !8;#532<-
                                                                                    EEE                        EEE
                                   !8=#>).-'6)0'


                                                                                                 !M@#QK.G-1

                                                              !8C#51).)()P-#O23K-             !M"#,).-#51).)()P-

                                                                                                  !M+#:(1)'B

Bernhard Haslhofer & Philipp Nussbaumer, November 2009
CIDOC CRM Mapping
       • Source Metadata Expressed in CRM:
                                >MH$/66#,,-2130                    >MH$/66#,,-2130
                                                                                              GH$1.$1E#02141#E$78$
                                                                                                  51E#02141#.=                                                        >LL$!86#
                                                                                                                              >?H$'3+<A#02
                                      K<L                      GHH-?.B!+I=AH-JH.                                                                                            !40&
                                                                                              GHJK$1.$+3A63.#E$34$
                                                                                                543:A.$6-:2$34=                 GIJ$E3+<A#02.$
                                            GH$1.$1E#02141#E$78$
                                                                              >?H$'3+<A#02                                    51.$E3+<A#02#E$10=             GC$"-.$286#$
                                                51E#02141#.=
                                                                                                                                                             51.$286#$34=


                                 >LI$*-2#:1-,                                                                         >CC$*-0D*-E#$(7F#+2
                                                          GHCK$#A6,38#E              GHJ@$"-.$6:3E<+#E
                                     M4"6                59-.$#A6,38#E$10=           59-.$6:3E<+#E$78=                                             G?$"-.$032#       >KC$Q2:10B
                                                                                                                                                                 2345#&2*4"62#78)7$2
                                                                   >HC$G:3E<+2130                             GM?$"-.$E1A#0.130                                  492:)842;<=2>?@ABC,2
                                                                                                               51.$E1A#0.130$34=      GH?@$:#6:#.#02.            DEF)20$$7)62(08(#2<=2
                                                         GHK$<.#E$.6#+141+$37F#+2$                                                  5"-.$:#6:#.#02-2130=                A?@A>,
                                                             59-.$<.#E$43:=

                                                                                                             >LM$'1A#0.130
                                             >CN$'#.1B0$3:$G:3+#E<:#

                                                          GH$1.$1E#02141#E$78$               GNH$"-.$<012      GNJ$"-.$;-,<# GC$"-.$286#$                         >?@$&A-B#
                                                                                              51.$<012$34=                   51.$286#$34=
                                                              51E#02141#.=

                                   >MH$/66#,,-2130                      >L@$*#-.<:#A#02$O012                  >KJ$P<A7#:              >LL$!86#
                                  L'87(N24821#55)8)6                                   *                             +,-.               /)0*1'




                                                                   !!"#$#%&
                                                                       !"#$$         !"#$%&'(%$%)*$+,-..
                                                                      %&$'#&()       /0$10.2-0+#$34$2"#$+,-..$563..17,8$912"$+30+:#2#$;-,<#=

Bernhard Haslhofer & Philipp Nussbaumer, November 2009
CIDOC CRM Mapping
       • Mappings expressed as mapping chains:
                           !"#$%                                                                                                                      4"0/7%#$%
                                !$&'()*%+,,-./0123*4,-5,/!6$&'()*%                                                                                   !89:!%!;4
                                !789&':;<=&% !"#$ !6789&':;<=&%                                                                WNNF;<=&
                                !789&':;<=&1&>:?@A:<%1&>:?@A!6789&':;<=&1&>:?@A:<%                                                .(/0

                                !789&':*&B'>@=:@CA%                                                 "XFU?BF:<=&FM@BF:<=&FCKO
                                     DCE?AFGCHIF?J>&JBFCKFL&>CFM#*FN. 40OFPQQQR
                                !6789&':*&B'>@=:@CA%                                                      WXXFT?A T?I&F789&':
                                !789&':*?:&-1&>:?@A:<%1&>:?@A!6789&':*?:&-1&>:?@A:<%                                                             "-,0FU?BF=>CIJ'&IF
                                                                                                             "-4FJB&IFB=&'@K@'FC89&':F           M?BF=>CIJ'&IF8<O
                                !*?:&S>CE%4.!6*?:&S>CE%                                                          M?BFJB&IFKC>O
                                !"&>@CIS>CE%D7T#L!6"&>@CIS>CE%                                                                           W-XF">CIJ':@CA
                                                                                          WX3F*&B@GAFC>F">C'&IJ>&
                                !T&:UCI7KT?AJK?':J>&%
                          %%%%%%%%%%&'()*+%"(%,-../(/0                                          "-F@BF@I&A:@K@&IF8<F           W.-F#==&HH?:@CA
                                                                                                    M@I&A:@K@&BO               !"#$%&'(#')*++,#,-
                                !6T&:UCI7KT?AJK?':J>&%
                                     V
                           !6"#$%                              12&%345%&")(*/%6#7/



                                                                                              12&%'"%!89:!%4-<<#$=
                                                     F"#$Y789&':;<=&          Z%FWXX "X WNN
                                                     F"#$YT&:UCI7KT?AJK?':J>& Z%FWXX @A["-,0 "-4 WX3 "- W.-




Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Problems encountered



Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Problem 1: Lifting and
       Normalisation
           • How to technically represent metadata in terms
                  of the CRM?
           • RDFS / OWL model exists
            • lack essential features (e.g. properties for
                        literals)
                 • require application-specific extensions
Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Problem 2: Mapping Ambiguity
        • Different valid representations for the same
                  attributes:                             !;;$I834
                                                             0"12
                                                                           %#$012$+834$
                                                                           5,2$+834$'<9
                                                                                                                !"#$"%"&'(')*&+,

                                                                                                           !;= >1+4&,1?
                                                                       !##$>1-@>1(4$A7B4*+                      !"#$                              !"#$"%"&'".+/*&/"#'0+
                                                                                                                                                        !*#"./*0
                                                                                                       %"#G$4H3?'84(
                                                            %"./$012$3&'()*4($
                                                                                                      5612$4H3?'84($,-9
                                                            5612$3&'()*4($789
                                                                                    !"#$%&'()*+,'-

                                                                !:"$F334??1+,'-                      %"G$)24($234*,<,*$'7B4*+$
                                                                                                         5612$)24($<'&9                                  !"#$"%"&'(')*&+-
                                                               %&'()*+"'+,-../'/$
                                                                        %"$,2$,(4-+,<,4($78$   !#C$D42,E-$'&$%&'*4()&4                                 !;= >1+4&,1?
                                                                            5,(4-+,<,429                                                                    !"#$
                                                                                                                                                   %:;$*'-2,2+2$'<$
                                                                                                                                                5,2$,-*'&3'&1+4($,-9
                                                                                                                             !##$>1-@>1(4$A7B4*+
                                                                                                                                      0"12

                                                                                                                                                        %"./$012$3&'()*4($
                                                                                                                                                        5612$3&'()*4($789
                                                         !"#$"%"&'".+/*&/"#'0+                              !;;$I834
                                                         !"#$%&'%(')*+,(*-#,."                                                                     !"#$%&'()*+,'-
                                                                                                        %&'()*+"'+,-../'/$       %#$012$+834$
                                                                                                                                 5,2$+834$'<9




                                                                          ++1"2"&.
                                                                               0#-33      I04$JKDAJ$JL>$*?122
                                                                             423&-2)/     F-$,-2+1-*4$'<$+04$*?122$53'22,7?8$6,+0$*'-*&4+4$M1?)49
Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Problem 3: Processing and
       Visualisation
           • The human / machine must “remember” the
                  meaning of mapping chains in order to retrieve
                  information
                 • E22-P2-E55 = the object type
                 • E22-invP108-P16-E29-P1-E41 = manufacture
                        method
Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Possible solutions



Bernhard Haslhofer & Philipp Nussbaumer, November 2009
A Simple Approach to (partially) solve Problem II + III

                   !"#$%&'(               )$'*                                  +",,-.%/!0"-.

                                                                               3.4#05#0'(&-010('#*6#
                                                                                   70'(&-010(58
                                        !"#$%&'&#(       !""#$%& $%'(#)*+(,-                             !."#)*+(,-#/'(&-010(2

                   )*+(,-5
                                                                                  3G#>%5#&:-(
                                       )#*+(&,%&-$       !""#$%& $%'(#)*+(,-                                  !A"#E-20&F



                                                         !""#$%& $%'(#)*+(,-                                !9"#32:';,-0:&
                                                                                39<=#>%5#?2:';,('                       39"A#(B?C:6('#
                                        ./%#(&/0                                                                       7@%5#(B?C:6('#0&8
                                                                                7@%5#?2:';,('#*68
                                                                                                             !D4#$%-(20%C


                   E(B%&-0,                                                    3.G#>%5#'0B(&50:&
                    E-%-(5                                                      705#'0B(&50:&#:18
                                                         !""#$%& $%'(#)*+(,-                                !D.#H0B(&50:&
                                                                               3L9#>%5#;&0-                                 3"#>%5#-6?(#
                                     )&1#$*&-$*2
                                                                                705#;&0-#:18                                705#-6?(#:18
                                 3)&/1#%#(425#&67%289                                                  3L<#>%5#M%C;(

                                                                 !D=#$(%5;2(B(&-#I&0-           !A<#J;B*(2             !DD#K6?(




Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Generic Approach to solve Problems I+II+III
           • Methodology to create consistent mappings to
                  the CRM
                 • Step 1: Lifting the data source-specific data
                        model (e.g., relational model, XML) to the level
                        of CIDOC CRM
                 • Step 2: Map the lifted model to the CRM using
                        specific mapping guidelines (mapping
                        “algorithm”)

Bernhard Haslhofer & Philipp Nussbaumer, November 2009
(1) Lifting & Normalisation
           • Lift a relational model to the CRM via an
                  intermediate semantic model




                                                                                                                     "'4C"0"?A
                                            /*$-&/'(")*+,          /*$-&/'0*/1              /*$-&/'$*,-&
                                        !LMM0A.% A.()0CDE)2*&                           !L8M0CDE)2*0'()%*$+$),&
                                                                   G8;0$/0$()%*$+$)(0
                                                 5'&(               DN0!$()%*$+$)/&     566789:";<4=67>69




                                                                                                                     1)B.%*$20A#()@
                                             !"#$%&'(")*+,         !"#$%&'0*/1             !"#$%&'$*,-&
                                                 !"#$%&                                     !'()%*$+$),&
                                                                     -./01)23'4
                                                                                        566789:";<4=67>69

                                                         0%%+&12%")($3")                       0%%+&12%")4$#2")$,)
                                                           $,)-+'-"+%/                          "(%&%/)&(,%$(*"

                                    !"#$%&'()*'++",-'(.,) !"#$




                                                                                                                     ?)@.*$#%.@0A#()@
                                          %')"(%&%/       1)23'4                 566789:";<4=67>69
                                                          CDE)2*4)/2,$F*$#%      ?#B.%0I#@(0.J,)J/
                                                          G),$#(H,#B             ?#B.%
                                                          >,#.(G),$#(            ?#B.%
                                                          ...                    KKK
Bernhard Haslhofer & Philipp Nussbaumer, November 2009
(2) Reducing Mapping Ambiguity
           • Mapping Methodology (Principles):
            • start from the lifted semantic model
            • find most specific CRM entities for source
                        domain and target range
                 • determine the shortest possible path between
                        these entities


Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Mapping                                                          Start                       p := next property of P




       “Algorithm”                                               E := set of source
                                                                  domain entities
                                                                                                    mapping chain c := ∅



                                                                                                            eend =
                                                                                                     findTargetRange(p)
                                                                    all entities of
                                              End        yes
                                                                     E iterated?
                                                                                                        add eend to c
                                                                         no


                                                                e := next entity of E
                                                                                                          x := eend



                                                                estart := findTarget
                                                                     Domain(e)
                                                                                               no
                                                                                                        isA(estart, x)?       yes

                                                               e := instanceOf(estart)                                               invert c
                                                                                                              no

                                                                   P : = Set of                       cl = findChainLink
                                                                properties p where       yes               (estart, x)              estart := x
                                                                getDomain(p) = e


                                                                                                          add cl to c

                                                                   all properties
                                                                   of P iterated?
                                                                                                    x := first element of cl


Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Mapping Example
              @"8A&B$96:&;$<1)*C1$1D9?
                                                    %"
       #"       EFF$9"G 9":&$CHI&'B                                  E.F$):&GBJKJ&8    $"
                                           =.2$J#$J:&GBJKJ&:$HL$
                                               <J:&GBJKJ&#?



                                               !"#$%&'()*
                          !"#$                                     +,,-./0123*4,-5,/


              %678'&$96:&;$<=>%?                    !"



            Comments:

                  ad 1.: define the source path (table as source domain, field name
Bernhard Haslhofer & Philipp Nussbaumer, November 2009
                  as relationship, field value as instance)
Limitations
        • Problem:
         • mapping might fail because there is no
                        “obvious” entity to map to
                 • unclear how to close mapping chain
           • Solution:
            • application context specific functions with
                        hardwired chains for given entities

Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Discussion



Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Discussion
           • Problem 1:
            • could be resolved by providing precise
                        technical specifications
           • Problem 2:
            • users will always map differently against a
                        global ontology; guidelines can only reduce but
                        not completely resolve ambiguities

Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Discussion

           • Problem 3:
            • “remembering” mapping chains = introducing
                        an application-specific model
                 • why not use this model instead of the CRM?

Bernhard Haslhofer & Philipp Nussbaumer, November 2009
Discussion
       • Why not map directly in a P2P manner?
                                                                                                equivalent            equivalent



                                                      !&,?@;                   A&589-                          !"#$%&'&(                7&589-
                         .!#$%&'()*$+(*,-,*,




                                                                                                                                                    !"#$%&'()*$+(*,-,*,
                                                    )*+&,-./$&                  'B%&1                          )*+&,-./$&              :#$&121

                                                   012"34&1523              ;&<2#5<"-52<                      012"34&1523            ;&<2#5<"-52<

                                                  415#"1/6"-&15"%               65<-                         415#"1/6"-&15"%             65<-

                                                )*=&1>&C3&>,15$-52<      '&=&1>&C3&>,15$-52<                     )*=&1>&               '&=&1>&

                                               6&-923)(6"<B(",-B1&               DDD                             ;2<21                 ;2<21'&(



                                                               !/<-",-5,"%%/E"<3E>&#"<-5,"%%/E&FB5="%&<-              !&#"<-5,"%%/E&FB5="%&<-

                                                                                               G2E&FB5="%&<,&>


Bernhard Haslhofer & Philipp Nussbaumer, November 2009

More Related Content

Viewers also liked

601 l5-encycs-100902165613-phpapp01
601 l5-encycs-100902165613-phpapp01601 l5-encycs-100902165613-phpapp01
601 l5-encycs-100902165613-phpapp01
bellhawaii
 
Big data - The beauty or the Beast
Big data  - The beauty or the BeastBig data  - The beauty or the Beast
Big data - The beauty or the Beast
Steliana Moraru
 
DH101 2013/2014 course 3 - Panoramic intensifcation, narrative crise and intr...
DH101 2013/2014 course 3 - Panoramic intensifcation, narrative crise and intr...DH101 2013/2014 course 3 - Panoramic intensifcation, narrative crise and intr...
DH101 2013/2014 course 3 - Panoramic intensifcation, narrative crise and intr...
Frederic Kaplan
 
DH101 2013/2014 course 8 - Historical Geographical Information Systems (HGIS)...
DH101 2013/2014 course 8 - Historical Geographical Information Systems (HGIS)...DH101 2013/2014 course 8 - Historical Geographical Information Systems (HGIS)...
DH101 2013/2014 course 8 - Historical Geographical Information Systems (HGIS)...
Frederic Kaplan
 
DH101 2013/2014 course 2
DH101 2013/2014 course 2DH101 2013/2014 course 2
DH101 2013/2014 course 2
Frederic Kaplan
 

Viewers also liked (20)

Mapping VRA Core 4.0 to the CIDOC/CRM ontology
Mapping VRA Core 4.0 to the CIDOC/CRM ontologyMapping VRA Core 4.0 to the CIDOC/CRM ontology
Mapping VRA Core 4.0 to the CIDOC/CRM ontology
 
Mapping Encoded Archival Description to CIDOC CRM
Mapping Encoded Archival Description to CIDOC CRMMapping Encoded Archival Description to CIDOC CRM
Mapping Encoded Archival Description to CIDOC CRM
 
Large-scale Reasoning with a Complex Cultural Heritage Ontology (CIDOC CRM) ...
 Large-scale Reasoning with a Complex Cultural Heritage Ontology (CIDOC CRM) ... Large-scale Reasoning with a Complex Cultural Heritage Ontology (CIDOC CRM) ...
Large-scale Reasoning with a Complex Cultural Heritage Ontology (CIDOC CRM) ...
 
Metadata for 3D models, Sheena Bassett
Metadata for 3D models, Sheena BassettMetadata for 3D models, Sheena Bassett
Metadata for 3D models, Sheena Bassett
 
The CIDOC CRM Family and LOD
The CIDOC CRM Family and LODThe CIDOC CRM Family and LOD
The CIDOC CRM Family and LOD
 
The Future of Museum Documentation
The Future of Museum DocumentationThe Future of Museum Documentation
The Future of Museum Documentation
 
601 Session5-Encyclopedias
601 Session5-Encyclopedias601 Session5-Encyclopedias
601 Session5-Encyclopedias
 
601 l5-encycs-100902165613-phpapp01
601 l5-encycs-100902165613-phpapp01601 l5-encycs-100902165613-phpapp01
601 l5-encycs-100902165613-phpapp01
 
Big data - The beauty or the Beast
Big data  - The beauty or the BeastBig data  - The beauty or the Beast
Big data - The beauty or the Beast
 
Searching beyond google
Searching beyond googleSearching beyond google
Searching beyond google
 
DH101 2013/2014 course 3 - Panoramic intensifcation, narrative crise and intr...
DH101 2013/2014 course 3 - Panoramic intensifcation, narrative crise and intr...DH101 2013/2014 course 3 - Panoramic intensifcation, narrative crise and intr...
DH101 2013/2014 course 3 - Panoramic intensifcation, narrative crise and intr...
 
UN’ESPERIENZA DI RAPPRESENTAZIONE DI DATI DI CATALOGHI DIGITALI IN LINKED OPE...
UN’ESPERIENZA DI RAPPRESENTAZIONE DI DATI DI CATALOGHI DIGITALI IN LINKED OPE...UN’ESPERIENZA DI RAPPRESENTAZIONE DI DATI DI CATALOGHI DIGITALI IN LINKED OPE...
UN’ESPERIENZA DI RAPPRESENTAZIONE DI DATI DI CATALOGHI DIGITALI IN LINKED OPE...
 
ARIADNE: Final report on standards and project registry
ARIADNE: Final report on standards and project registryARIADNE: Final report on standards and project registry
ARIADNE: Final report on standards and project registry
 
The Story behind Maphub
The Story behind MaphubThe Story behind Maphub
The Story behind Maphub
 
Cidoc2009 H20
Cidoc2009 H20Cidoc2009 H20
Cidoc2009 H20
 
DH101 2013/2014 course 8 - Historical Geographical Information Systems (HGIS)...
DH101 2013/2014 course 8 - Historical Geographical Information Systems (HGIS)...DH101 2013/2014 course 8 - Historical Geographical Information Systems (HGIS)...
DH101 2013/2014 course 8 - Historical Geographical Information Systems (HGIS)...
 
Using SKOS Vocabularies for Improving Web Search
Using SKOS Vocabularies for Improving Web SearchUsing SKOS Vocabularies for Improving Web Search
Using SKOS Vocabularies for Improving Web Search
 
DH101 2013/2014 course 2
DH101 2013/2014 course 2DH101 2013/2014 course 2
DH101 2013/2014 course 2
 
GraphSense - Real-time Insight into Virtual Currency Ecosystems
GraphSense - Real-time Insight into Virtual Currency EcosystemsGraphSense - Real-time Insight into Virtual Currency Ecosystems
GraphSense - Real-time Insight into Virtual Currency Ecosystems
 
Web server
Web serverWeb server
Web server
 

Similar to CIDOC CRM in Practice

9t rainforest menus
9t rainforest menus9t rainforest menus
9t rainforest menus
Ashleigh100
 
分光光度法快速测定玉米叶片中的叶绿素
分光光度法快速测定玉米叶片中的叶绿素分光光度法快速测定玉米叶片中的叶绿素
分光光度法快速测定玉米叶片中的叶绿素
sugeladi
 
Grad survey results presentation
Grad survey results presentationGrad survey results presentation
Grad survey results presentation
Carissa Caloud
 
Grad survey results presentation
Grad survey results presentationGrad survey results presentation
Grad survey results presentation
guyvonh
 
Grad survey results presentation
Grad survey results presentationGrad survey results presentation
Grad survey results presentation
Carissa Caloud
 
[Harvard CS264] 04 - Intermediate-level CUDA Programming
[Harvard CS264] 04 - Intermediate-level CUDA Programming[Harvard CS264] 04 - Intermediate-level CUDA Programming
[Harvard CS264] 04 - Intermediate-level CUDA Programming
npinto
 
SEO - It Works Even if You Don’t Know How or Why
SEO - It Works Even if You Don’t Know How or Why SEO - It Works Even if You Don’t Know How or Why
SEO - It Works Even if You Don’t Know How or Why
Wolfgang Weicht
 

Similar to CIDOC CRM in Practice (20)

Chinese
ChineseChinese
Chinese
 
OSGi - beyond the myth
OSGi -  beyond the mythOSGi -  beyond the myth
OSGi - beyond the myth
 
The Lean Startup - simplified
The Lean Startup - simplifiedThe Lean Startup - simplified
The Lean Startup - simplified
 
referente
referentereferente
referente
 
2012 Report to the Council on Postsecondary Education by Kentucky's private c...
2012 Report to the Council on Postsecondary Education by Kentucky's private c...2012 Report to the Council on Postsecondary Education by Kentucky's private c...
2012 Report to the Council on Postsecondary Education by Kentucky's private c...
 
9t rainforest menus
9t rainforest menus9t rainforest menus
9t rainforest menus
 
Overview of APEC Region Wine Trade 2011
Overview of APEC Region Wine Trade 2011Overview of APEC Region Wine Trade 2011
Overview of APEC Region Wine Trade 2011
 
Google Talk: DOs and DON'Ts of Mobile Strategy
Google Talk: DOs and DON'Ts of Mobile StrategyGoogle Talk: DOs and DON'Ts of Mobile Strategy
Google Talk: DOs and DON'Ts of Mobile Strategy
 
分光光度法快速测定玉米叶片中的叶绿素
分光光度法快速测定玉米叶片中的叶绿素分光光度法快速测定玉米叶片中的叶绿素
分光光度法快速测定玉米叶片中的叶绿素
 
Company Resume
Company ResumeCompany Resume
Company Resume
 
Entrepreneurship 101 - The Nuts and Bolts of Starting a Business
Entrepreneurship 101 -  The Nuts and Bolts of Starting a BusinessEntrepreneurship 101 -  The Nuts and Bolts of Starting a Business
Entrepreneurship 101 - The Nuts and Bolts of Starting a Business
 
Get me a mobile strategy or you're fired web 2
Get me a mobile strategy or you're fired   web 2Get me a mobile strategy or you're fired   web 2
Get me a mobile strategy or you're fired web 2
 
Innotech - Get Me a Mobile Strategy or You’re Fired!
Innotech - Get Me a Mobile Strategy or You’re Fired!Innotech - Get Me a Mobile Strategy or You’re Fired!
Innotech - Get Me a Mobile Strategy or You’re Fired!
 
Grad survey results presentation
Grad survey results presentationGrad survey results presentation
Grad survey results presentation
 
Grad survey results presentation
Grad survey results presentationGrad survey results presentation
Grad survey results presentation
 
Grad survey results presentation
Grad survey results presentationGrad survey results presentation
Grad survey results presentation
 
Nota 041109
Nota 041109Nota 041109
Nota 041109
 
[Harvard CS264] 04 - Intermediate-level CUDA Programming
[Harvard CS264] 04 - Intermediate-level CUDA Programming[Harvard CS264] 04 - Intermediate-level CUDA Programming
[Harvard CS264] 04 - Intermediate-level CUDA Programming
 
PQ Issue 4_2015
PQ Issue 4_2015PQ Issue 4_2015
PQ Issue 4_2015
 
SEO - It Works Even if You Don’t Know How or Why
SEO - It Works Even if You Don’t Know How or Why SEO - It Works Even if You Don’t Know How or Why
SEO - It Works Even if You Don’t Know How or Why
 

More from Bernhard Haslhofer

Post-Bitcoin Cryptocurrencies, Off-Chain Transaction Channels, and Cryptocur...
 Post-Bitcoin Cryptocurrencies, Off-Chain Transaction Channels, and Cryptocur... Post-Bitcoin Cryptocurrencies, Off-Chain Transaction Channels, and Cryptocur...
Post-Bitcoin Cryptocurrencies, Off-Chain Transaction Channels, and Cryptocur...
Bernhard Haslhofer
 
The value of open data and the OpenGLAM network
The value of open data and the OpenGLAM networkThe value of open data and the OpenGLAM network
The value of open data and the OpenGLAM network
Bernhard Haslhofer
 
Offene Daten im Kulturbereich - Die pragmatische Perspektive
Offene Daten im Kulturbereich - Die pragmatische PerspektiveOffene Daten im Kulturbereich - Die pragmatische Perspektive
Offene Daten im Kulturbereich - Die pragmatische Perspektive
Bernhard Haslhofer
 
Open Data - Principles and Techniques
Open Data - Principles and TechniquesOpen Data - Principles and Techniques
Open Data - Principles and Techniques
Bernhard Haslhofer
 
OpenGLAM Intro @ OKFN.AT Meetup Graz
OpenGLAM Intro @ OKFN.AT Meetup GrazOpenGLAM Intro @ OKFN.AT Meetup Graz
OpenGLAM Intro @ OKFN.AT Meetup Graz
Bernhard Haslhofer
 
ResourceSync: Leveraging Sitemaps for Resource Synchronization
ResourceSync: Leveraging Sitemaps for Resource SynchronizationResourceSync: Leveraging Sitemaps for Resource Synchronization
ResourceSync: Leveraging Sitemaps for Resource Synchronization
Bernhard Haslhofer
 

More from Bernhard Haslhofer (20)

Decentralized Finance (DeFi) - Understanding Risks in an Emerging Financial P...
Decentralized Finance (DeFi) - Understanding Risks in an Emerging Financial P...Decentralized Finance (DeFi) - Understanding Risks in an Emerging Financial P...
Decentralized Finance (DeFi) - Understanding Risks in an Emerging Financial P...
 
Token Systems, Payment Channels, and Corporate Currencies
Token Systems, Payment Channels, and Corporate CurrenciesToken Systems, Payment Channels, and Corporate Currencies
Token Systems, Payment Channels, and Corporate Currencies
 
Can a blockchain solve the trust problem?
Can a blockchain solve the trust problem?Can a blockchain solve the trust problem?
Can a blockchain solve the trust problem?
 
Measurements in Cryptocurrency Networks
Measurements in Cryptocurrency NetworksMeasurements in Cryptocurrency Networks
Measurements in Cryptocurrency Networks
 
Post-Bitcoin Cryptocurrencies, Off-Chain Transaction Channels, and Cryptocur...
 Post-Bitcoin Cryptocurrencies, Off-Chain Transaction Channels, and Cryptocur... Post-Bitcoin Cryptocurrencies, Off-Chain Transaction Channels, and Cryptocur...
Post-Bitcoin Cryptocurrencies, Off-Chain Transaction Channels, and Cryptocur...
 
Insight Into Cryptocurrencies - Methods and Tools for Analyzing Blockchain-ba...
Insight Into Cryptocurrencies - Methods and Tools for Analyzing Blockchain-ba...Insight Into Cryptocurrencies - Methods and Tools for Analyzing Blockchain-ba...
Insight Into Cryptocurrencies - Methods and Tools for Analyzing Blockchain-ba...
 
O Bitcoin Where Art Thou? An Introduction to Cryptocurrency Analytics
O Bitcoin Where Art Thou? An Introduction to Cryptocurrency AnalyticsO Bitcoin Where Art Thou? An Introduction to Cryptocurrency Analytics
O Bitcoin Where Art Thou? An Introduction to Cryptocurrency Analytics
 
Mind the Gap - Data Science Meets Software Engineering
Mind the Gap - Data Science Meets Software EngineeringMind the Gap - Data Science Meets Software Engineering
Mind the Gap - Data Science Meets Software Engineering
 
BITCOIN - De-anonymization and Money Laundering Detection Strategies
BITCOIN - De-anonymization and Money Laundering Detection StrategiesBITCOIN - De-anonymization and Money Laundering Detection Strategies
BITCOIN - De-anonymization and Money Laundering Detection Strategies
 
Bitcoin - Introduction, Technical Aspects and Ongoing Developments
Bitcoin - Introduction, Technical Aspects and Ongoing DevelopmentsBitcoin - Introduction, Technical Aspects and Ongoing Developments
Bitcoin - Introduction, Technical Aspects and Ongoing Developments
 
Maphub und Pelagios: Anwendung von Linked Data in den Digitalen Geisteswissen...
Maphub und Pelagios: Anwendung von Linked Data in den Digitalen Geisteswissen...Maphub und Pelagios: Anwendung von Linked Data in den Digitalen Geisteswissen...
Maphub und Pelagios: Anwendung von Linked Data in den Digitalen Geisteswissen...
 
The value of open data and the OpenGLAM network
The value of open data and the OpenGLAM networkThe value of open data and the OpenGLAM network
The value of open data and the OpenGLAM network
 
Things, not Strings
Things, not StringsThings, not Strings
Things, not Strings
 
Offene Daten im Kulturbereich - Die pragmatische Perspektive
Offene Daten im Kulturbereich - Die pragmatische PerspektiveOffene Daten im Kulturbereich - Die pragmatische Perspektive
Offene Daten im Kulturbereich - Die pragmatische Perspektive
 
Open Data - Principles and Techniques
Open Data - Principles and TechniquesOpen Data - Principles and Techniques
Open Data - Principles and Techniques
 
Semantic Tagging on Historical Maps
Semantic Tagging on Historical MapsSemantic Tagging on Historical Maps
Semantic Tagging on Historical Maps
 
OpenGLAM Intro @ OKFN.AT Meetup Graz
OpenGLAM Intro @ OKFN.AT Meetup GrazOpenGLAM Intro @ OKFN.AT Meetup Graz
OpenGLAM Intro @ OKFN.AT Meetup Graz
 
Semantic Tagging for old maps...and other things on the Web
Semantic Tagging for old maps...and other things on the WebSemantic Tagging for old maps...and other things on the Web
Semantic Tagging for old maps...and other things on the Web
 
Linked (Open) Data
Linked (Open) DataLinked (Open) Data
Linked (Open) Data
 
ResourceSync: Leveraging Sitemaps for Resource Synchronization
ResourceSync: Leveraging Sitemaps for Resource SynchronizationResourceSync: Leveraging Sitemaps for Resource Synchronization
ResourceSync: Leveraging Sitemaps for Resource Synchronization
 

Recently uploaded

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 

Recently uploaded (20)

Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Quantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation ComputingQuantum Leap in Next-Generation Computing
Quantum Leap in Next-Generation Computing
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 

CIDOC CRM in Practice

  • 1. CIDOC CRM in Practice - Experiences, Problems, and Possible Solutions - Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 2. Background • BRICKS Project (2003 - 2007) • Goal • build an infrastructure for integrating contents and metadata from heterogeneous sources • build value added services on top Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 3. Background • Build an application that provides access to archaeological findings from two distinct institutions • Provided advanced search (e.g. faceted search) • Use the CIDOC-CRM to deal with metadata heterogeneities Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 4. Background Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 5. CIDOC CRM Mapping • Metadata Schemes: !&,?@; A&589- !"#$%&'&( 7&589- .!#$%&'()*$+(*,-,*, !"#$%&'()*$+(*,-,*, )*+&,-./$& 'B%&1 )*+&,-./$& :#$&121 012"34&1523 ;&<2#5<"-52< 012"34&1523 ;&<2#5<"-52< 415#"1/6"-&15"% 65<- 415#"1/6"-&15"% 65<- )*=&1>&C3&>,15$-52< '&=&1>&C3&>,15$-52< )*=&1>& '&=&1>& 6&-923)(6"<B(",-B1& DDD ;2<21 ;2<21'&( !/<-",-5,"%%/E"<3E>&#"<-5,"%%/E&FB5="%&<- !&#"<-5,"%%/E&FB5="%&<- G2E&FB5="%&<,&> Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 6. CIDOC CRM Mapping • Sample Metadata Instance: !"#$%&'( !"#$%& !""#$%&'()*+"#,"% '()"#*+,-" '-./ '()"#*&".#/0-*012 0-12/34-563789 3"045* (:#%34 6/078/,98*"/08: ;-56 9"*51;'<982=<> <=>?@A3->3789 >>> ::: Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 7. CIDOC CRM Mapping • The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ernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 8. CIDOC CRM Mapping • Source Metadata Expressed in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ernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 9. CIDOC CRM Mapping • Mappings expressed as mapping chains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ernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 10. Problems encountered Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 11. Problem 1: Lifting and Normalisation • How to technically represent metadata in terms of the CRM? • RDFS / OWL model exists • lack essential features (e.g. properties for literals) • require application-specific extensions Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 12. Problem 2: Mapping Ambiguity • Different valid representations for the same attributes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ernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 13. Problem 3: Processing and Visualisation • The human / machine must “remember” the meaning of mapping chains in order to retrieve information • E22-P2-E55 = the object type • E22-invP108-P16-E29-P1-E41 = manufacture method Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 14. Possible solutions Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 15. A Simple Approach to (partially) solve Problem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ernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 16. Generic Approach to solve Problems I+II+III • Methodology to create consistent mappings to the CRM • Step 1: Lifting the data source-specific data model (e.g., relational model, XML) to the level of CIDOC CRM • Step 2: Map the lifted model to the CRM using specific mapping guidelines (mapping “algorithm”) Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 17. (1) Lifting & Normalisation • Lift a relational model to the CRM via an intermediate semantic model "'4C"0"?A /*$-&/'(")*+, /*$-&/'0*/1 /*$-&/'$*,-& !LMM0A.% A.()0CDE)2*& !L8M0CDE)2*0'()%*$+$),& G8;0$/0$()%*$+$)(0 5'&( DN0!$()%*$+$)/& 566789:";<4=67>69 1)B.%*$20A#()@ !"#$%&'(")*+, !"#$%&'0*/1 !"#$%&'$*,-& !"#$%& !'()%*$+$),& -./01)23'4 566789:";<4=67>69 0%%+&12%")($3") 0%%+&12%")4$#2")$,) $,)-+'-"+%/ "(%&%/)&(,%$(*" !"#$%&'()*'++",-'(.,) !"#$ ?)@.*$#%.@0A#()@ %')"(%&%/ 1)23'4 566789:";<4=67>69 CDE)2*4)/2,$F*$#% ?#B.%0I#@(0.J,)J/ G),$#(H,#B ?#B.% >,#.(G),$#( ?#B.% ... KKK Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 18. (2) Reducing Mapping Ambiguity • Mapping Methodology (Principles): • start from the lifted semantic model • find most specific CRM entities for source domain and target range • determine the shortest possible path between these entities Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 19. Mapping Start p := next property of P “Algorithm” E := set of source domain entities mapping chain c := ∅ eend = findTargetRange(p) all entities of End yes E iterated? add eend to c no e := next entity of E x := eend estart := findTarget Domain(e) no isA(estart, x)? yes e := instanceOf(estart) invert c no P : = Set of cl = findChainLink properties p where yes (estart, x) estart := x getDomain(p) = e add cl to c all properties of P iterated? x := first element of cl Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 20. Mapping Example @"8A&B$96:&;$<1)*C1$1D9? %" #" EFF$9"G 9":&$CHI&'B E.F$):&GBJKJ&8 $" =.2$J#$J:&GBJKJ&:$HL$ <J:&GBJKJ&#? !"#$%&'()* !"#$ +,,-./0123*4,-5,/ %678'&$96:&;$<=>%? !" Comments: ad 1.: define the source path (table as source domain, field name Bernhard Haslhofer & Philipp Nussbaumer, November 2009 as relationship, field value as instance)
  • 21. Limitations • Problem: • mapping might fail because there is no “obvious” entity to map to • unclear how to close mapping chain • Solution: • application context specific functions with hardwired chains for given entities Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 22. Discussion Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 23. Discussion • Problem 1: • could be resolved by providing precise technical specifications • Problem 2: • users will always map differently against a global ontology; guidelines can only reduce but not completely resolve ambiguities Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 24. Discussion • Problem 3: • “remembering” mapping chains = introducing an application-specific model • why not use this model instead of the CRM? Bernhard Haslhofer & Philipp Nussbaumer, November 2009
  • 25. Discussion • Why not map directly in a P2P manner? equivalent equivalent !&,?@; A&589- !"#$%&'&( 7&589- .!#$%&'()*$+(*,-,*, !"#$%&'()*$+(*,-,*, )*+&,-./$& 'B%&1 )*+&,-./$& :#$&121 012"34&1523 ;&<2#5<"-52< 012"34&1523 ;&<2#5<"-52< 415#"1/6"-&15"% 65<- 415#"1/6"-&15"% 65<- )*=&1>&C3&>,15$-52< '&=&1>&C3&>,15$-52< )*=&1>& '&=&1>& 6&-923)(6"<B(",-B1& DDD ;2<21 ;2<21'&( !/<-",-5,"%%/E"<3E>&#"<-5,"%%/E&FB5="%&<- !&#"<-5,"%%/E&FB5="%&<- G2E&FB5="%&<,&> Bernhard Haslhofer & Philipp Nussbaumer, November 2009