Information Retrieval

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MLC – 101 Information Retrieval

Unit 1
- Information Retrieval Systems: Basic concepts, Definitions, Objectives,
Characteristics, Components and functions. Functional model of an IRS.
- Indexing Systems: Indexing - Meaning,Purpose and Need. An overview of
historical development in Indexing. Pre-coordinate Indexing Vs. Post-coordinate
Indexing. Pre-coordinate Indexing systems – Brief outline of Chain procedure,
POPSI, PRECIS and Keyword Indexing. Post-coordinate Indexing Systems –
Uniterm Indexing. Citation Indexing – Meaning and importance, Different citation
indexes: Shepard’s Citations, SCI, SSCI.Automatic Indexing – Techniques and
methods. Uncontrolled vocabularies.

 
Unit 2
- Vocabulary Control: Vocabulary control – Meaning and importance; Controlled Vs.
Free text Indexing; Vocabulary control tools – Subject heading Lists, Thesauri,
Thesaurofacet, Classarus. Thesaurus construction techniques. Case Study of
Controlled vocabularies/ Ontologies such, ERIC, MeSH, INSPEC, UNESCO-IB,
AgroVac, UMLS 

Unit 3
- IR models. Concept of Ranking. : Structural models – Boolean Model, Probabilistic
retrieval model, vector space model. (10 Hours)


Unit 4
- Evaluation of IRS: Purpose; Evaluation criteria; Design of evaluation
programmes; Steps of evaluation; Evaluation experiments: Overview of the
Cranfield test, MEDLARS, the SMART Retrieval Experiment, The STAIRS project,
TREC.
- Trends in IRS: Developments, Searching and retrieval, Full text retrieval, User interfaces,
IR standards and protocols.