..::181.081 SS 2006::..
ProSeminar Web Information Extraction
Wissenschaftliches Arbeiten
Course Overview
Goal:
The goal of this course is to introduce students to scientific investigation; to read papers, think critically, present results and participate in discussions. The literature in this proseminar will also provide students with an introduction to selected topics in the domain of Web Information Extraction.
Subject:
Web Information Extraction is a broad topic that is concerned with the extraction of relevant information from Web pages and transforming it into a form suitable for computerized data-processing applications. Example applications of WIE include: price monitoring, market analysis and portal integration.
The process of WIE makes use of a number of techniques from various disciplines and research areas in computer science, such as artificial intelligence, information retrieval, natural language processing, wrapper learning, ontology modelling, supervised and unsupervised machine learning, statistics and data mining.
The course introduces students to current research through individual reading, analysis and comparison of selected publications. Students will present their insights in-class and will engage in a collective discussion of the specific topics that have been addressed in the session.
News
All students now have their presentation slots allocated to them. You can find them on the schedule page. We recommend that students that could not make it to the last session take a look at the slides, as they contain information about what we are looking for in your presentations.
Graphics Feedback
Feedback on the second coursework (the graphics) is given on an individual basis via email.
Seminar room 184/2 (Favoritenstr. 9-11/3rd floor)
Content:
Presentation Slot 5:
Administrative issues
Subtitle: Proseminar Scientific Research (181.081, PS 2.0h)
Location: Seminar room 184/2 (Favoritenstr. 9-11/3rd floor)
Supervisors: Georg Gottlob, Marcus Herzog
Presenters: Max Göbel, Tamir Hassan
First introductory session: Thursday 9 March, 12noon-1pm
Subsequent sessions: Thursdays, 12noon-2pm
Registration: At first session
Contact: goebel (at) dbai.tuwien.ac.at
Grading
- Preliminary graphic on paper, conceptualising main ideas (40%)
- Report on paper as part of overall research field (60%)
Presentation: 25 min presentation at end of course (40%)
Participation:
Participation in class (30%)
Useful Links
ACM Portal Scientific publication of the Associaton of Computing Machinery>
CiteSeer Relations between publications
DBLP Library (Uni Trier): Relations between authors
Google Scholar Google for scientific publications
Scopus The world's largest abstract database of scientific literature