The capability to retrieve information from the World Wide Web has become an integral part of most information systems for personal and business use alike. Many smartphone applications depend just as heavily on World Wide Web information as most business management systems.
The need to organize vast amounts of information for effective retrieval long predates the World Wide Web and even computers. Traditional libraries were the birthplace for many of the techniques to organize and retrieve information still used by modern information systems. The evolution of computers changed many of the concepts to store, access and search information and gave birth to a new research field – Information Retrieval.
The amount and heterogeneity of information on the World Wide Web introduced new retrieval tasks, which triggered the advancement of traditional and the creation of new information retrieval technologies.
- S. Ceri, A. Bozzon, M. Brambilla, E. Della Valle, P. Fraternali and S. Quarteroni. Web Information Retrieval. Springer, 2013. ISBN 3642393136.
- C. D. Manning, P. Raghavan and H. Schütze. An Introduction to Information Retrieval. Cambridge University Press, Cambridge, England 2009. (free online edition: http://www-nlp.stanford.edu/IR-book/).
- B. Ribeiro-Neto and R. Baeza-Yates. Modern Information Retrieval: The Concepts and Technology Behind Search. Pearson Education, Ltd., Harlow, England, Addison-Wesley, 2 edition, 2011. ISBN 9780321416919.
Topic-specific literature will be provided during the first session.
The seminar can serve as a starting point for a topically related bachelor's or master's project and thesis. For current project and theses proposals visit:http://www.isg.uni-konstanz.de/students-corner/
1. presentation (30 min)
2. term paper (8-10 pages per person, ACM style)
Group work is possible.
Seminar participants will explore current research approaches that seek to advance the technologies for Information Retrieval or tackle challenging retrieval tasks on the Web.
Seminar participants will pick a research topic from a pool of suggestions that will be provided or will pick a topic according to their own interests.
Topic suggestions include:
- Web Information Retrieval Technologies
- Web Crawling
- Web Indexing
- Link Analysis
- Semantic Analysis
- Advanced Web Search Systems
- Semantic Search
- Multi-Domain Search
- Meta Search
- Multimedia Search
- Recommender Systems for the Web
- Human Involvement in Web Information Retrieval
- Human Computer Interaction
- Human Computation
For their topic, the participants will give an overview of research relevant to the topic in a presentation during the seminar (30 min) and an essay (8 - 10 pages per person, ACM style) due at the end of the seminar. Topic-specific literature suggestions will be provided during the initial meeting. Additional independent literature research and independent working by seminar participants is expected.
Seminar participants will gain an overview of the state-of-the-art technologies for different information retrieval tasks on the Web. They will be able to describe the current research trends, research challenges, and the predominant approaches for tackling these research challenges.
Each participant will perform an in-depth literature review on current research approaches that address a particular retrieval task on the Web. The participants will present their findings in an academic paper and a 30 minute long presentation during one of the seminar sessions. Through this process, which the lecturers supervise and guide, the participants will train their ability to:
- find, organize, and systematically read relevant research papers;
- analyze, compare, and contrast research approaches and findings;
- structure, write, and format an academic paper;
- present their work using appropriate presentation techniques and presentation aids;
- answer questions and discuss their work with peers.
By successfully completing the seminar, participants will achieve valuable preparation in terms of the knowledge and methodological skills required to successfully complete a bachelor’s or master’s project related to information retrieval tasks on the Web and in other domains.
Total workload: 4 ECTS = 120 hours