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. Language: English