JNTUH CSE-AIML INFORMATION RETRIEVAL SYSTEMS SYLLABUS

Prerequisites: Data Structures
Course Objectives:
 To learn the important concepts and algorithms in IRS
 To understand the data/file structures that are necessary to design, and implement information
retrieval (IR) systems.
Course Outcomes:
 Ability to apply IR principles to locate relevant information large collections of data
 Ability to design different document clustering algorithms
 Implement retrieval systems for web search tasks.
 Design an Information Retrieval System for web search tasks.
UNIT – I
Introduction to Information Retrieval Systems: Definition of Information Retrieval System, Objectives of
Information Retrieval Systems, Functional Overview, Relationship to Database Management Systems,
Digital Libraries and Data Warehouses.Information Retrieval System Capabilities: Search Capabilities, Browse Capabilities, Miscellaneous
Capabilities.
UNIT – II
Cataloging and Indexing: History and Objectives of Indexing, Indexing Process, Automatic Indexing,
Information Extraction.Data Structure: Introduction to Data Structure, Stemming Algorithms, Inverted File Structure, N-Gram Data Structures, PAT Data Structure, Signature File Structure, Hypertext and XML Data Structures,Hidden Markov Models.
UNIT – III
Automatic Indexing: Classes of Automatic Indexing, Statistical Indexing, Natural Language, Concept
Indexing, Hypertext Linkages.Document and Term Clustering: Introduction to Clustering, Thesaurus Generation, Item Clustering,Hierarchy of Clusters.
UNIT – IV
User Search Techniques: Search Statements and Binding, Similarity Measures and Ranking, Relevance Feedback, Selective Dissemination of Information Search, Weighted Searches of Boolean Systems, Searching the INTERNET and Hypertext.Information Visualization: Introduction to Information Visualization, Cognition and Perception, Information Visualization Technologies.
UNIT – V
Text Search Algorithms: Introduction to Text Search Techniques, Software Text Search Algorithms,Hardware Text Search Systems.Multimedia Information Retrieval: Spoken Language Audio Retrieval, Non-Speech Audio Retrieval,Graph Retrieval, Imagery Retrieval, Video Retrieval.
TEXT BOOK:
1. Information Storage and Retrieval Systems – Theory and Implementation, Second Edition,
Gerald J. Kowalski, Mark T. Maybury, Springer
REFERENCE BOOKS:
1. Frakes, W.B., Ricardo Baeza-Yates: Information Retrieval Data Structures and Algorithms,
Prentice Hall, 1992.
2. Information Storage & Retrieval By Robert Korfhage – John Wiley & Sons.
3. Modern Information Retrieval By Yates and Neto Pearson Education.

CSE-AIML