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Lecture Structure
- Hasso Plattner (00:00:01)
- 20165 (00:02:26)
- W um mms nfo nt O1 Einfuehrung pdf am scnm ua nssz n K ausum mg e u mna (00:04:24)
- uma (00:04:33)
- wteg rierte (00:05:34)
- uma (00:06:15)
- Überblick (00:07:15)
- HE Hasso (00:07:55)
- HassoPlanner l 1SliIIJX (00:07:56)
- Other courses in this semester (00:10:24)
- PFOSE T1il 1EI (00:10:25)
- 1978 (00:10:25)
- Business Edsger W Dijkstra (00:10:25)
- zugestehen Beauty is our (00:10:25)
- Herausforderungen der (00:10:25)
- Durcheinander und (00:10:25)
- Beauty is our Business (00:10:25)
- every two days we createas much information as we didFfnm H10 A m nf i ili1= inn m (00:15:52)
- Data Mining (00:15:52)
- Pobabmstxc Reasc (00:15:52)
- Eric Schmidt (00:15:52)
- from the dawn of Civilization up (00:15:52)
- every two days we createas much information as we did (00:16:26)
- Natural Language Processing (00:18:39)
- wnxu mns r fulnt 01 Einfuehrung pdf am s=m m ass n mumm= = m a (00:19:08)
- In this lecture we will learn how to make a machine able to (00:19:08)
- J How a machine translator can translate a text from one (00:19:08)
- How search engines can find the most relevant pages for input (00:19:08)
- Überblick (00:21:03)
- HassuPlannerInstitut (00:21:09)
- Termine und Leistungserfassung (00:21:11)
- == uPlannerlnsmu (00:23:46)
- Feedback (00:23:47)
- In ommms nf m o1 AEinfuenru g paf mm s m numm (00:24:29)
- Oder per Email naur nann@hpi uni potsdam de (00:24:29)
- Infos im WWW (00:24:29)
- Anregungen zur Verbesserung (00:24:29)
- Fragen bitte jedemeit (00:24:29)
- Evaluation am Ende des Semesters (00:24:29)
- c == (00:24:30)
- Feedback (00:24:35)
- Weitere Literatur (00:26:55)
- ACM Digital Library Q cI3 S 5 (00:26:55)
- Alle genannten Artikel können von mir per Email angefragt werden Oder (00:26:55)
- Übung Integ rationsprojekt (00:29:24)
- HassoPlattnerInstitut (00:31:17)
- Vorstellung Hörer (00:31:18)
- Vorstellung Hörer (00:36:22)
- Code eingeben (00:36:31)
- Vorstellung Hörer (00:36:43)
- Überblick (00:38:31)
- HassoPlannerInstitut (00:39:34)
- Integrierte Informationssysteme (00:39:36)
- Hassu Planner (00:41:22)
- n wmmv am mw 1 w umucmvw mmm avm @ mf m@ SG qu M mg gm n = m am vu um nus ness (00:45:52)
- fsf = PN (00:45:53)
- uvm mswwe mw (00:46:11)
- nu osn n m a m ß sem (00:46:11)
- onna wwunme (00:46:11)
- 1wsr n 1eum1uv (00:46:11)
- Jem m egM=a ev 5 am 2 aweßp nn (00:46:11)
- Was ist Inform ationsinteg ration? (00:48:42)
- wnm mm Infolnt 01 E nfuehru g pdf (00:49:02)
- Quellen zu einer einheitlichen und Informationsmenge (00:49:02)
- Inhalt verschiedener Quellen zu einer einheitlichen (00:49:02)
- canm (00:49:03)
- Wo herrscht Informationsinteg ration? (00:51:10)
- wnnmmm nfo m 01 Einfuehrung pdf Eegration? (00:51:17)
- Illil Hasso (00:52:39)
- u m c n a imsan pm vom m n f uannn me sa Lux upa m v sm Daß rrra i ind lu u ia (00:52:40)
- mm pca naß G mmhvdf Free um auz iminn (00:55:15)
- U ham (00:55:15)
- mvpp w v nmw x v v 1 n uQrrm fqzr Tf l i (00:55:15)
- f fm g min (00:55:15)
- @bj i= 5w15 (00:55:15)
- X = GoA (00:55:15)
- naßake (00:55:15)
- wma =i@ i a s i swm nm2 1a= omamm (00:55:15)
- mil ll e Emre (00:56:01)
- l mf uni m LLLm @=== z = (00:57:46)
- Integrierte Informationssysteme (01:00:37)
- Integrierte Suchmaschinen (01:00:39)
- wnxumm lnfolnt 01 E nfuehrung pdf nas n musuwnm mmm m n m mma wmm (01:02:00)
- W Massa (01:03:19)
- E Hasso (01:03:20)
- 3S4 l i5 Anwendungsgebiet Business HalevyO4 (01:07:14)
- wnm mm Info nt 01 Einfuehnmg pdf (01:07:24)
- wnmnmm lnfolm 01 A nfuehn gpdf (01:08:43)
- fß r1ws f1 dungsgebiet 2 Wissenschaft (01:08:45)
- Anwendungsgeb et Das Web HalevyO4 (01:10:39)
- wnm mm Infolm 01 E nfuehn g pdf (01:10:46)
- i waSE (01:10:47)
- as Web BEI Hasso Informationsintegrat (01:12:10)
- canm Informationsinteg ration Ein altes (01:12:19)
- uvm (01:15:11)
- Überblick (01:19:26)
- Informationsintegration (01:19:33)
- Serv ceB (01:19:33)
- WebServ ce (01:19:33)
- WebSen ceB Autor Jäm ä Larson ALI(Of ÄUlÜfG l put pubI cat on t tIe Federated DatabaseSystems for Manag ngD stnbuted Heterogeneousand AutonomousDatabases t Je auth Scheth Larson aut (01:20:13)
- liiä (01:20:18)
- Beispiel Web Service A (01:20:26)
- w mw uml Infolm 01 infuehnmgpdf (01:20:28)
- Beispiel Web Service A (01:20:29)
- Beispiel Web Service A Output (01:21:05)
- ks comp e ype (01:21:05)
- lern l wirT = Äut0Y ( p = XS (Hr g m 1I = fä SE (01:21:05)
- fmfr t rvarfE= T uP ?= XS Strlng l r ib E = lru8 (01:21:05)
- HassuP a gnerFV lS1llL lI (01:21:16)
- Beispiel Web Service A (01:21:17)
- Xi eleme l Fw rr E= AutDf fwp = 3 S (Y ng mil lil E= f SE (01:21:23)
- ?mEr t rva FE= Tl 6 h I E= XS String rv l ib E = lru8 (01:21:23)
- HBSSUPraltnerInsmu (01:21:42)
- Beispiel Web Service B (01:21:43)
- wnm mmsl nfoInt 01 Einfuehrung pdf (01:21:45)
- Hassu Platine (01:22:11)
- 1 Hamam r ame= ea pe= s nung au e= va se (01:22:11)
- 3 etemerv r ame= Auth 1 e= xs str ng r ame= vaIse (01:22:11)
- aemem r ame= e e= s stnng lLau e= vue (01:22:11)
- Beispiel Web Service B Output (01:22:12)
- e anem arne= Year t pe= xs s1r ng m an e= Wa se (01:22:12)
- element amE= I1 Jlh Q 7?= XS Str ng r Iian e= YaISe (01:22:12)
- = vHim i n 2= Wille I = Ks Hng W I iii 3= 1ru (01:22:12)
- cum Integrati n von Web Services A B (01:22:24)
- Informationsintegration (01:24:00)
- Anfrage Umwandlung (01:26:32)
- Anfrageopt mierung (01:27:47)
- 490155 1 (01:28:09)
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with the marker function you'll be able to create your own digital time markers.
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