JNTUH Informational Retrieval Systems syllabus CS 3-1 Sem R18 CS523PE

Unit-1 Introduction to Information Retrieval Systems

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-2 Cataloging and Indexing

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-3 Automatic Indexing

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-4 User Search Techniques

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-5 Text Search Algorithms

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

 

REFERENCES

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.

 

Course Outcomes:

1. Ability to apply IR principles to locate relevant information large collections of data

2. Ability to design different document clustering algorithms

3. Implement retrieval systems for web search tasks.

4. Design an Information Retrieval System for web search tasks.