Inhalt

[ 921INFWWIRK12 ] KV (*)Web Information Retrieval and Extraction

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M2 - Master's programme 2. year Computer Science Birgit Pröll 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Computer Science (discontinuing) 2012W
Objectives (*)Die Studierenden beherrschen Grundlagen und Techniken des Web Information Retrieval und deren Einsatz in Suchmaschinen sowie Grundlagen und Techniken der Web Informationsextraktion.
Subject (*)Information Retrieval „in a nutshell“, Konzepte des Web Information Retrieval (z.B. Web-Crawler), Search Engines und Web Site Search (z.B. Lucene), Search Engine Optimization, Web Information Extraction, aktuelle Themen; Opinion Mining/Sentiment Analysis, Deep Web Search, Spam Detection, Question Answering, Focused Crawling, Search User Interfaces, Crowd Knowledge (User Generated Content) Extraction
Criteria for evaluation (*)Übungen (45%), Klausur (45%), Mitarbeit (10%)
Language German
Study material (*)Basisliteratur:
 Baeza-Yates, R.; Ribeiro-Neto, B.: Modern Information Retrieval. ACM Press, New York, in der aktuellen Auflage.
 Croft, B.; Metzler, D.; Strohman, T.: Search Engines: Information Retrieval in Practice. Addison Wesley, 2009.

Ergänzungsliteratur wird in jedem Semester bekannt gegeben.

Changing subject? No
Corresponding lecture (*)INMAWKVWEIR: KV Web Information Retrieval (3 ECTS)
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment