JNTU
JNTU MCA 2017 INFORMATION RETRIEVAL SYSTEMS Previous Question Paper (August - 2017 - R09)
Answer any five questions. All questions carry equal marks.
Main
What is Information Retrieval System? Distinguish between IRS and DBMS.
Answer
An Information Retrieval System (IRS) is a software system designed to store, organize, and provide access to large collections of unstructured or semi-structured data, typically text, by matching user queries against the stored information to retrieve relevant documents.
| Feature | Information Retrieval System (IRS) | Database Management System (DBMS) |
|---|---|---|
| Data Structure | Unstructured/Semi-structured | Highly structured |
| Query Type | Keyword-based, approximate matching | Formal query languages (e.g., SQL) |
| Result Set | Ranked list based on relevance | Exact match based on criteria |
| Error Tolerance | High (handles fuzzy queries) | Low (requires precise syntax) |
| Primary Goal | Information discovery | Data integrity and transaction management |
Explain in detail about Digital Libraries and Data Warehouses.
Answer
Digital Libraries are managed collections of information, with associated services, where the information is stored in digital formats and accessible over a network. They provide organized access to diverse media types, including electronic books, journals, images, and multimedia, often incorporating metadata standards to facilitate discovery and long-term preservation of scholarly or cultural assets.
Data Warehouses are centralized repositories designed for integrated data analysis and reporting. They collect data from multiple disparate operational sources (OLTP systems) through an ETL (Extract, Transform, Load) process. Data in a warehouse is typically historical, non-volatile, and subject-oriented, optimized for complex analytical queries and decision-making processes rather than daily transaction processing.
What is concept indexing approach? Explain in detail with a suitable example.
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Explain the data flow in an information processing system with a neat sketch.
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Explain in detail the Porter stemming algorithm.
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Describe how the PAT Data structure is different from N-gram data structure.
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What is automatic indexing? Give the various classes of automatic Indexing?
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What are the benefits of a weighted index system over a Binary Index system?
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Compare and contrast manual clustering and Automatic Term Clustering.
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Define clustering and explain how clustering effects precision and recall.
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Explain in detail about the following:
Bayesian Model.
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Simple Term Frequency Algorithm.
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Explain in detail about Cone-Tree visualization technique. List out its advantages compared with other hierarchical representations.
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Explain in detail about text streaming architecture with a neat example.
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Discuss about selective dissemination information search techniques with examples.
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