Data and Knowledge Engineering - Seminar and Project
Deutsch: Auf dieser Seite finden Sie Informationen zum wissenschaftlichen Seminar und Projekt "Data and Knowledge Engineering", welches im Wintersemester 2014/2015 stattfindet. Das Seminar und Projekt wird von den Dozenten und Master Studenten bei Bedarf auch auf Englisch gehalten. Den Bachelor Studenten ist es aber möglich, ihre Diskussionen, Präsentationen und Ausarbeitungen in deutscher Sprache zu halten bzw. abzugeben. Der Einfachheit halber sind alle folgenden Informationen in Englisch angegeben.
English: On this page you can find information about the scientific seminar and project/practical course "Data and Knowledge Engineering", which takes place during the winter term 2014/2015. On demand the seminar and project will be in English. The Bachelor students can discuss, present and write their work in German. For simplicity the following information is provided in English.
During the course this page will be updated continuously.
Content and Topics
This course deals with selected topics and subdomains of the research area "Data and Knowledge Engineering". With an emphasis on "Intelligent Interactive Information Systems" students acquire insight in methods of user behavior analysis and modeling, knowledge discovery and visualization, data mining, adaptive retrieval systems etc. Below the topics for the winter term 2014/2015 are listed:
| Domain: User Behaviour Modeling and Analysis in (Online) Search | ||
| Nr | Topic | Comment |
| 1 | Visual Attention Modelling in Online-Search | Analysis and Modelling of the Human Visual Attention during the Search Process |
| 2 | Affective Information Retrieval | How do Emotions influence the Search Process? |
| 3 | Differences between Inexperienced and Experienced Users during the Search Process | Identification of relevant User Groups; Analysis of Differences between the individual User Groups |
| 4 | General Search Topic Identification | How to identify the Domain that covers the Users Information Need? |
| 5 | Information Seeking Process and Search Models | Lookup vs. Exploratory Search; Definitions and Models on Information Behavior, Information Seeking and Information Search Behavior |
| 6 | How to measure the Search Success? | Evaluation of IR-Systems based on: User Perspective, Retrieval Metrics and Usability |
| 7 | Structure of the WWW | Analysis and Description of the Web Structure as Graph using: Web Link Analysis and Visualization |
Domain: Targeted Search Services |
||
| Nr | Topic | Comment |
| 8 | Recommender-Systems | Challenges and Approaches |
| 9 | Question Answering Systems | How to answer to natural language queries? |
Domain: Image Search |
||
| Nr | Topic | Comment |
| 10 | Methods to Visualize many Objects with High Dimensional Features | Application Area: Image Retrieval |
| 11 | Image Feature Extraction | How to extract Low and High Level Features from Images? |
| 12 | How to find Image Duplicates? | Image Comparison, Similarity Measures, etc. |
| 13 | Data Structures to Search for High Dimensional Objects | Identification and Description of relevant Data Structures like Trees or Hashing |
At the beginning of the course we will present the suggested topics but own ideas or suggestions are also welcome.
Course and Relation between Seminar and Project
The seminar is offered for Bachelor students to achieve an insight into selected topics and subdomains of the research area "Data and Knowledge Engineering" with an emphasis on "Intelligent Interactive Information Systems". The assignment is to become acquainted with a chosen subdomain, hold a presentation and write a paper about this topic. In the end the Bachelor students receive 2SWS/3ECTS. The project is offered for the Master students and consists of the seminar and a practical work. Hence the Master students also need to participate in the seminar, process the seminar assignment and additionally solve a practical work to receive altogether 2+4=6SWS/3+3=6ECTS.
Interested Persons
Please register yourself via E-Mail to Michael Kotzyba. The seminar and project is limited to 10 participants (usually 5 Bachelor and 5 Master students). We apply the scheme: "First Come, First Serve" (FCFS).
Dates and Rooms
16.10.2014: 11:15 - 12:45, Building 23, Room K12, First meeting to introduce the course, present and preselect the topics and register for the course
23.10.2014: Meeting to introduce scientific working, select the topics and assign some homework
30.10.2014: Meeting to discuss the homework, Deadline for unsubscribing from the course
06.11.2014: Work @ Home (read paper, write own paper, implement project)
12.11.2014: Submission for the concept presentations via E-Mail
13.11.2014: Meeting: Concept presentations
20.11.2014: Work @ Home (read paper, write own paper, implement project)
27.11.2014: Pre- paper draft submission via E-Mail
04.12.2014: Paper draft submission (10 pages for Bachelor / 15 pages for Master in LNCS-Style) via E-Mail
11.12.2014: Review the assigned submissions @ Home
18.12.2014: Review submission (2 reviews, each 1 page) via E-Mail [optional Meeting]
08.01.2015: Finalize the Paper @ Home
15.01.2015: Final Version submission (10 pages for Bachelor / 15 pages for Master in LNCS-Style) via E-Mail
21.01.2015: Submission for the paper presentation slides via E-Mail
22.01.2015: Meeting - "Blockseminar"/Paper presentation
29.01.2015: Meeting - "Blockseminar"/Paper presentation (if needed)
Further information about the course can be found in the LSF portal here (Seminar) and here (Project).
Teaching Staff
If you have any questions about the course, please contact us via E-Mail:
- Michael Kotzyba
E-Mail: michael.kotzyba@ovgu.de - Andreas Nürnberger
E-Mail: andreas.nuernberger@ovgu.de
Materials
- Springer LNCS-Style
- Slides from the first Meeting (available after first meeting)
- Presentation Template (Open Office)