Searching Web and Multimedia Databases

Přednášející:

Tomáš Skopal (gar.)

Cvičící:

Tomáš Skopal (gar.)

Předmět zajišťuje:

katedra softwarového inženýrství

Anotace:

Students gain basic knowledge concerning retrieval techniques on the web, where the web environment is viewed as a large distributed and heterogenous data repository. In particular, the students will understand the techniques for retrieving text and hypertext documents (the web pages). Moreover, they will be aware of similarity retrieval methods focused on heterogenous multimedia databases (unstructured data collections, respectively).

Požadavky:

Basic knowledge and skills in algorithmics, programming, data structures and database technologies.

Osnova přednášek:

1. Web space, search engines, web retrieval modalities.

2. Boolean model of information retrieval.

3. Vector model of information retrieval.

4. Link analysis and the web page ranking.

5. Search engine optimization.

6. Semantic web.

7. Introduction to the similarity search in multimedia databases.

8. Similarity queries, aggregation operators.

9. Indexing metric similarity for efficient multimedia retrieval.

10. Approximate similarity retrieval.

11. Advanced similarity search models.

Osnova cvičení:

1. Project topic presentation.

2. Group consultations.

3. Group consultations.

4. Individual consultations.

5. Individual consultations.

6. Project presentation.

7. Project presentation.

Cíle studia:

This module is recommended for students that are interested in deeper understanding of web search engines. In particular, text, hypertext, and multimedia retrieval techniques are explored. The retrieval techniques are described in three layers: theoretical (model), algorithmical, and application. Then, in experimental projects, the students can implement the methods and employ them in various web applications.

Studijní materiály:

1. Berry, M., Browne, M., Understanding Search Engines: Mathematical Modeling and Text Retrieval. SIAM, 2005, ISBN 0898715814.

2. Langville, A., Meyer, C., Googles PageRank and Beyond: The Science of Search Engine Rankings. Princeton University Press, 2006, ISBN 0691122024.

3. Jones, K., Search Engine Optimization: Your visual blueprint for effective Internet marketing. Visual, 2008, ISBN 0470224487.

4. Uchyigit, G., Ma, M., Personalization Techniques And Recommender Systems. World Scientific Publishing Company, 2008, ISBN 9812797017.

5. Castelli, V., Bergman, L., Image Databases: Search and Retrieval of Digital Imagery. Wiley-Interscience, 2002, ISBN 0471321168.

6. Deb, S., Multimedia Systems and Content-Based Image Retrieval. Information Science Publishing, 2003, ISBN 1591401569.

7. Zezula, P., Amato, G., Dohnal, V., Batko, M.: Similarity Search - The Metric Space Approach. Springer, New York, 2005, ISBN 0387291466.

Poznámka:

Rozvrh na zimní semestr 2011/2012:

Rozvrh není připraven

Rozvrh na letní semestr 2011/2012:

Rozvrh není připraven

Předmět je součástí následujících studijních plánů:

• Web and Multimedia (povinný předmět oboru)
• Informatics (VO)