List of Facets of different topics of IR

 

List of Facets of different topics of IR




Group - 5

VOCABULARY CONTROL

(Pradipta Bandyopadhyay & Suchandra Biswas)


1. Definition and Purpose of Controlled Vocabulary

2. Vocabulary Control in LIS

3. Indexing Languages

                Ø Different types of Indexing Languages


4. Vocabulary Control Tools

                Ø Classification Schemes

·        Enumerative Classification


§  LCC


·        Analytico-Synthetic Classification


§  DDC


§  UDC


·        Faceted Classification


§  CC


Ø Subject Heading Lists


·        LCSH


·        Sears-List of Subject Headings


Ø Thesauri


·        Relationship of terms


·        Display of terms


Ø Thesaurofacet


Ø Classaurus


5. Application of Control Vocabulary

6. Impact of Vocabulary Control in IR.

7. Drawbacks in Vocabulary Control

8. New Developments

9. Conclusion




Group -2
  Facet sequence list                        
(DBMS)
                                     (Deep Das & Zainab Alam)
1. Historical development of DBMS
2. Introduction of DBMS
3. Element of DBMS 
4. Need for DBMS 
5. DBMS Architecture
6. Key features of DBMS
7. Different kind  Database  Language 
8. Several Types of DBMS 
9. Relation of DBMS and Information Retrieval system 
10. Recent trends of DBMS


Topic name: searching and browsing

         (Bhaskar Mondal,Mousumi Dam)

1. Introduction

2. Objectives

3. Feature

4. Literature Review:

5. Methodology

6. System Architecture:

7. Implementation Details:

8. User Interface Design:

9. Data Model:

10 . Conclusion




A brief overview of Information Retrieval Model 



Madhabi Rani Bijuli,09
(M.Lib.I.Sc.,day batch-2023-24)


  • Introduction
  • Concept of IRM
  • Characteristics of IRM
  • Need of IRM
  • Types of IRM
  • Components of information retrieval model
  • Application for information retrieval model
  • The importance of an information retrieval model
  • Disadvantage
  • Conclusion
  • Reference






Group: 6

Topic: Information Seeking Behaviour/Practice

(Bilkis Begam & Abdul Ejaj Gazi)

Sub-facet

1. Information need
2. Role of Libraries in Information Seeking Behavior
3. Concept of information seeking
4. Concept of information behaviour
5. Concept of information practice
6. Information seeking on the web
7. Different between behaviour and practice
8. Everyday life information seeking 

  • Model of ELIS

9. Model of information seeking behaviour
10. Recharge of recent topic




                     Group -1

Topic - Historical development /evolution in IR

                      (Subhashree Das, Abhisek Acher)


1. Concept of information.

2. Storage of information in early Times.

3. Concept of information retrieval.

4. Pre-computerise era (before 1940s)

5.Early computerisation times (1940s-1950s)

6. Cranfield experiment and Boolean retrieval(1950s to 1960s)

7. Introduction of online databases(1970s)

8. Full-text retrieval and hypertext(1980s).

9. Emergence of world wide web and search engines(1990s)

10. Diversification in search like personalized search semantic web, metadata.(2000s)

11. Machine learning and Natural Language Processing (NLP) in IR (2010 to Present)


Group - 9 

Recent Trends in Information Retrieval     

    (Ananya Ghosh , Supriya Baskey)

1. Concept of Information retrieval


2. Process of searching and retrieval


3. Issues in Information retrieval


4. Fundamental approaches and user modelling 


5. Discuss about user interface 

6. Standards and protocols 

 7. Context of web and digital libraries
 
8. Natural language processing system and Interface

9.Advance technique of recent trends in Information retrieval

 10. Software works on the recent trends in Information retrieval

11. Machine translation 


Group - 7

Sujan Dey & Ramij Raja Mondal

Topic- AI in IR

*Artificial intelligence in Information Retrieval*

1. What is AI & Role in Library science.
2. Natural Language Processing.
3. Content- Based Image Retrieval in digital Library.
4. Recommendation system to suggest relevant materials.
5. Enhance Search Algorithms by User Behaviours, context.
6. Augmented Reality Navigation to assist users in navigating the physical documents.
7. Smart Shelf Management in collaboration with RFID technology.
8. Preservation and Restoration Assistance.

Group - 8

Cognitive Information Retrieval 

(Penaki Sharma, Arnab Das)

1.Concept 

2.Process 

3.Techniques 

4.Holistic Cognitive view 

5.Information processing 

6.Information structure 

7.Information need 

8.Cognitive space and information retrieval interactions 

9.Converging models


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