JNTUK B.Tech Information Retrieval Systems (Elective – I) gives you detail information of Information Retrieval Systems (Elective – I) R13 syllabus It will be help full to understand you complete curriculum of the year.
COURSE OBJECTIVES
- To provide the foundation knowledge in information retrieval.
- To equip students with sound skills to solve computational search problems.
- To appreciate how to evaluate search engines.
- To appreciate the different applications of information retrieval techniques in the Internet or Web environment.
- To provide hands-on experience in building search engines and/or hands-on experience in evaluating search engines.
COURSE OUTCOMES
After completing the course student will be able to:
- Identify basic theories in information retrieval systems
- Identify the analysis tools as they apply to information retrieval systems
- Understands the problems solved in current IR systems
- Describes the advantages of current IR systems
- Understand the difficulty of representing and retrieving documents.
- Understand the latest technologies for linking, describing and searching the web.
- Explain the concepts of indexing, vocabulary, normalization and dictionary in information
retrieval. - Evaluate information retrieval algorithms, and give an account of the difficulties of evaluation
- Use different information retrieval techniques in various application areas
- Apply IR principles to locate relevant information large collections of data
- Analyze performance of retrieval systems when dealing with unmanaged data sources
- Implement retrieval systems for web search tasks.
- Understand and apply the basic concepts of information retrieval;
- Appreciate the limitations of different information retrieval techniques;
- Write programs to implement search engines;
- Evaluate search engines;
- Develop skills in problem solving using systematic approaches;
- Solve complex problems in groups and develop group work.
SYLLABUS
Unit I
Introduction to Information Storage and Retrieval System: Introduction, Domain Analysis of IR systems and other types of Information Systems, IR System Evaluation. Introduction to Data Structures and Algorithms related to Information Retrieval: Basic Concepts, Data structures, Algorithms
Unit II
Inverted files: Introduction, Structures used in Inverted Files, Building Inverted file using a sorted array, Modifications to Basic Techniques.
Unit III
Signature Files: Introduction, Concepts of Signature Files, Compression, Vertical Partitioning, Horizontal Partitioning.
Unit IV
New Indices for Text: PAT Trees and PAT Arrays: Introduction, PAT Tree structure, algorithms on the PAT Trees, Building PAT trees as PATRICA Trees, PAT representation as arrays.
Unit V
Stemming Algorithms: Introduction, Types of Stemming Algorithms, Experimental Evaluations of Stemming to Compress Inverted Files
Unit VI
Thesaurus Construction: Introduction, Features of Thesauri, Thesaurus Construction, Thesaurus construction from Texts, Merging existing Thesauri
TEXT BOOK
- Frakes, W.B., Ricardo Baeza-Yates: Information Retrieval Data Structures and Algorithms, Prentice Hall, 1992.
- Modern Information Retrival By Yates Pearson Education.
- Information Storage & Retieval By Robert Korfhage – John Wiley & Sons.
REFERENCES
- Kowalski, Gerald, Mark T Maybury: Information Retrieval Systems: Theory and Implementation, Kluwer Academic Press, 1997.
- Information retrieval Algorithms and Heuristics, 2ed, Springer.
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