052512 VU Interoperability (2022S)
Continuous assessment of course work
Labels
MIXED
Summary
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 14.02.2022 09:00 to Th 24.02.2022 10:00
- Deregistration possible until Mo 14.03.2022 23:59
Registration information is available for each group.
Groups
Group 1
max. 25 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Kickoff meeting (online): 03.03. 09:45
Link: https://bbb.cs.univie.ac.at/b/mar-xl9-tda-9v1
Thursday
03.03.
09:45 - 11:15
Digital
Thursday
10.03.
09:45 - 11:15
Digital
Thursday
17.03.
09:45 - 11:15
Digital
Thursday
24.03.
09:45 - 11:15
Digital
Thursday
31.03.
09:45 - 11:15
Digital
Thursday
07.04.
09:45 - 11:15
Digital
Thursday
28.04.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
05.05.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
12.05.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
19.05.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
02.06.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
09.06.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
23.06.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
30.06.
09:45 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Seminarraum 3, Währinger Straße 29 1.UG
Seminarraum 3, Währinger Straße 29 1.UG
Group 2
max. 25 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Kickoff meeting (online): 03.03. 09:45
Link: https://bbb.cs.univie.ac.at/b/mar-xl9-tda-9v1
Thursday
03.03.
09:45 - 11:15
Digital
Thursday
10.03.
09:45 - 11:15
Digital
Thursday
17.03.
09:45 - 11:15
Digital
Thursday
24.03.
09:45 - 11:15
Digital
Thursday
31.03.
09:45 - 11:15
Digital
Thursday
07.04.
09:45 - 11:15
Digital
Thursday
28.04.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
05.05.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
12.05.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
19.05.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
02.06.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
09.06.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
23.06.
09:45 - 11:15
Hörsaal 3, Währinger Straße 29 3.OG
Thursday
30.06.
09:45 - 13:00
Hörsaal 3, Währinger Straße 29 3.OG
Seminarraum 3, Währinger Straße 29 1.UG
Seminarraum 3, Währinger Straße 29 1.UG
Information
Aims, contents and method of the course
Assessment and permitted materials
‣ literature study and theoretical exercises
‣ practical exercises (implementation, application of tools)
‣ written exam - The exam at the end of the semester will take place at the university (not online).
‣ practical exercises (implementation, application of tools)
‣ written exam - The exam at the end of the semester will take place at the university (not online).
Minimum requirements and assessment criteria
‣ Part A: 60% exercises (theoretical and practical)
‣ Part B: 40% written examOverall at least 50% of points need to be achieved.The grade is calculated from the total points as follows:
>= 87,5% very good (1)
>= 75% good (2)
>= 62,5% satisfactory (3)
>= 50% sufficient (4)
< 50% not sufficient (5)
‣ Part B: 40% written examOverall at least 50% of points need to be achieved.The grade is calculated from the total points as follows:
>= 87,5% very good (1)
>= 75% good (2)
>= 62,5% satisfactory (3)
>= 50% sufficient (4)
< 50% not sufficient (5)
Examination topics
‣ slides
‣ exercise material
‣ exercise material
Reading list
‣ A. Moos: XQuery und SQL/XML in DB2-Datenbanken. Vieweg+Teubner (2008)
‣ M. Klettke, H. Meyer: XML & Datenbanken. Konzepte, Sprachen und Systeme. dpunkt.verlag (2003)
‣ Ulf Leser, Felix Naumann: Informationsintegration. dpunkt.verlag (2006)
‣ D. Florescu, D. Kossmann: Storing and Querying XML Data using an RDMBS. IEEE Data Engineering Bulletin 22:27-34 (1999)
‣ K. Staken: Introduction to Native XML Databases. XML.com (2001)
‣ A. Holupirek, C. Grün, M.H. Scholl: BaseX & DeepFS joint storage for filesystem and database. EDBT 2009: 1108-1111
‣ Rahm, Erhard, and Philip A. Bernstein. A survey of approaches to automatic schema matching. the VLDB Journal 10, no. 4 (2001): 334-350
‣ Z. Bellahsene, A. Bonifati, E. Rahm: Schema Matching and Mapping. Springer (2011)
‣ P. A. Bernstein, L. M. Haas, Information integration in the enterprise, Commun. ACM 51(9): 72–79 (2008)
‣ M. Papazoglou: Web Services: Principles and Technology, Pearson Education (2008)
‣ G. Alonso, F. Casati, H. Kuno, V. Machiraju: Web Services - Concepts, Architectures and Applications. Springer-Verlag Berlin Heidelberg (2004)
‣ M. Klettke, H. Meyer: XML & Datenbanken. Konzepte, Sprachen und Systeme. dpunkt.verlag (2003)
‣ Ulf Leser, Felix Naumann: Informationsintegration. dpunkt.verlag (2006)
‣ D. Florescu, D. Kossmann: Storing and Querying XML Data using an RDMBS. IEEE Data Engineering Bulletin 22:27-34 (1999)
‣ K. Staken: Introduction to Native XML Databases. XML.com (2001)
‣ A. Holupirek, C. Grün, M.H. Scholl: BaseX & DeepFS joint storage for filesystem and database. EDBT 2009: 1108-1111
‣ Rahm, Erhard, and Philip A. Bernstein. A survey of approaches to automatic schema matching. the VLDB Journal 10, no. 4 (2001): 334-350
‣ Z. Bellahsene, A. Bonifati, E. Rahm: Schema Matching and Mapping. Springer (2011)
‣ P. A. Bernstein, L. M. Haas, Information integration in the enterprise, Commun. ACM 51(9): 72–79 (2008)
‣ M. Papazoglou: Web Services: Principles and Technology, Pearson Education (2008)
‣ G. Alonso, F. Casati, H. Kuno, V. Machiraju: Web Services - Concepts, Architectures and Applications. Springer-Verlag Berlin Heidelberg (2004)
Association in the course directory
Module: IOP AWI
Last modified: Th 11.05.2023 11:27
‣ XML and databases
‣ information integration
‣ web services and applications
‣ service orchestrations
‣ service choreographiesLearning goals:
‣ understanding the basic challenges of interoperability
‣ understanding basic concepts
‣ getting hands-on practice by implementation and by application of selected systemsStudents, attending the course, are expected to have knowledge in the following topics:
* Basic knowledge of XML, JSON
* Basic knowledge on data modeling (e.g., ER or UML Class diagrams)
* Advanced knowledge in at least one programming language of your choice (e.g. Javascript, Ruby, Python, ...) recommended