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| Detailed information |
| Original study plan |
Master's programme Computer Science 2013W |
| Objectives |
Students have competence in fundamentals and technologies of (1) information retrieval, comprising representation, storage and retrieval of textual unstructured information and of (2) information extraction, i.e. Structuring of textual data. They are able to implement and evaluate applications in these fields and have knowledge about related fields and current research topics.
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| Subject |
Fundamentals and concepts of traditional information retrieval (IR): document representation (indexing), weighting, IR models (boolsch, vector space etc.), architectures and user interfaces, evaluation of IR systems (recal, precision), advanced concepts: sting similarity, thesaurus, classification, relevance feedback, query expansion, context-based IR, IR tools and applications
Fundamentals and concepts of information extraction (IE): IE types, IE approaches (knowledge engineering etc.); natural language processing, architecture and user interfaces, evaluation of IE systems, IE tools and applications
Related areas and current topics in IR and IE: information filtering, recommender systems, multilingual IR, content based image retrieval, digital libraries, natural language user interfaces, Web search / Web mining, etc.
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| Criteria for evaluation |
exercises (45%), exam (45%), in-class contribution (10%)
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| Methods |
presentation, exercises
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| Language |
English |
| Study material |
Modern Information Retrieval (R. Baeza-Yates, B. Ribeiro-Neto; Addison Wesley 1999
Introduction to Information Retrieval (Ch. Manning, P. Raghavan, H. Schütze; Cambridge University Press 2008)
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| Changing subject? |
No |
| Corresponding lecture |
(*)in collaboration with 921INSYASWK13: KV Accessible Software and Web Design (1,5 ECTS) equivalent to
INMIPKVKCSY: KV Knowledge-centered Systems (4,5 ECTS)
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