Table of Contents

1. Introduction.- 2. Retrieval Strategies.- 2.1 Vector Space Model.- 2.2 Probabilistic Retrieval Strategies.- 2.3 Language Models.- 2.4 Inference Networks.- 2.5 Extended Boolean Retrieval.- 2.6 Latent Semantic Indexing.- 2.7 Neural Networks.- 2.8 Genetic Algorithms.- 2.9 Fuzzy Set Retrieval.- 2.10 Summary.- 2.11 Exercises.- 3. Retrieval Utilities.- 3.1 Relevance Feedback.- 3.2 Clustering.- 3.3 Passage-based Retrieval.- 3.4 N-grams.- 3.5 Regression Analysis.- 3.6 Thesauri.- 3.7 Semantic Networks.- 3.8 Parsing.- 3.9 Summary.- 3.10 Exercises.- 4. Cross-Language Information Retrieval.- 4.1 Introduction.- 4.2 Crossing the Language Barrier.- 4.3 Cross-Language Retrieval Strategies.- 4.4 Cross Language Utilities.- 4.5 Summary.- 4.6 Exercises.- 5. Efficiency.- 5.1 Inverted Index.- 5.2 Query Processing.- 5.3 Signature Files.- 5.4 Duplicate Document Detection.- 5.5 Summary.- 5.6 Exercises.- 6. Integrating Structured Data and Text.- 6.1 Review of the Relational Model.- 6.2 A Historical Progression.- 6.3 Information Retrieval as a Relational Application.- 6.4 Semi-Structured Search using a Relational Schema.- 6.5 Multi-dimensional Data Model.- 6.6 Mediators.- 6.7 Summary.- 6.8 Exercises.- 7. Parallel Information Retrieval.- 7.1 Parallel Text Scanning.- 7.2 Parallel Indexing.- 7.3 Clustering and Classification.- 7.4 Large Parallel Systems.- 7.5 Summary.- 7.6 Exercises.- 8. Distributed Information Retrieval.- 8.1 A Theoretical Model of Distributed Retrieval.- 8.2 Web Search.- 8.3 Result Fusion.- 8.4 Peer-to-Peer Information Systems.- 8.5 Other Architectures.- 8.6 Summary.- 8.7 Exercises.- 9. Summary and Future Directions.- References.

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