Seminar: Seminar Data Engineering Master - Details

Seminar: Seminar Data Engineering Master - Details

Sie sind nicht in Stud.IP angemeldet.

Allgemeine Informationen

Veranstaltungsname Seminar: Seminar Data Engineering Master
Veranstaltungsnummer INF-3019
Semester SS 2026
Aktuelle Anzahl der Teilnehmenden 0
erwartete Teilnehmendenanzahl 8
Heimat-Einrichtung Data Management und Engineering
Veranstaltungstyp Seminar in der Kategorie Lehre
Teilnehmende The seminar is exclusively aimed at master's students from the computer science and data science programs or related programs.
Voraussetzungen Prerequisites for participation are enrollment in the master's program, attendance at the introductory event, and successful assignment of a topic.
Lernorganisation Basic materials for the seminar are written in English and will be provided by the instructor. These materials should be supplemented by independent research as part of the course assessment.
Leistungsnachweis The performance assessment consists of a presentation during the seminar's attendance dates and a paper to be submitted in advance. Details regarding both parts will be explained during the introductory session.
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile Ja
Hauptunterrichtssprache englisch
Weitere Unterrichtssprache(n) deutsch
Literaturhinweise Literature will be provided by the instructor on Digicampus. In addition, participants are expected to independently research additional literature.
ECTS-Punkte 4

Räume und Zeiten

https://uni-augsburg.zoom-x.de/j/68054089786?pwd=4wLTdvLmw8HzY8DPfMpwp7qRm9FqXj.1 Meeting-ID: 680 5408 9786 Kenncode: U$8n4M

Modulzuordnungen

Kommentar/Beschreibung

In this seminar, three scientific papers will first be jointly reviewed and discussed at two-week intervals. Each participant will then focus on the topic assigned to them at the beginning. These topics will be presented and discussed at the end of the lecture period.

Die gemeinsamen wissenschaftlichen Beiträge sind:

- MatchCatcher: A Debugger for Blocking in Entity Matching; Han Li, Pradap Konda, Paul Suganthan G. C., AnHai Doan, Benjamin Snyder, Youngchoon Park, Ganesh Krishnan, Rohit Deep, Vijay Raghavendra, EDBT 2018, https://openproceedings.org/2018/conf/edbt/paper-82.pdf

- Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration; Jianhong Tu, Ju Fan, Nan Tang, Peng Wang, Guoliang Li, Xiaoyong Du, Xiaofeng Jia, Song Gao, SIGMOD 2023, https://dl.acm.org/doi/abs/10.1145/3588938

- Schema Mapping Generation in the Wild; Lacramioara Mazilu, Norman W. Paton, Alvaro Fernandes, Martin Koehler, Information Systems 2022, https://www.sciencedirect.com/science/article/pii/S0306437921001186?via%3Dihub

Die möglichen Themen für die eigene Bearbeitung sind in einer hochgeladenen Datei aufgelistet.