Next Generation Search Engines: Advanced Models for Information Retrieval

Recent technological progress in computer science, Web technologies, and the constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Current search engines employ advanced techniques involving machine learning, social networks, and semantic analysis. Next Generation Search Engines: Advanced Models for Information Retrieval is intended for scientists and decision-makers who wish to gain working knowledge about search in order to evaluate available solutions and to dialogue with software and data providers. The book aims to provide readers with a better idea of the new trends in applied research.

Table of Contents

Section 1 Indexation
Chapter 1. Indexing the World Wide Web
Chapter 2. Decentralized Search and the Clustering Paradox in Large Scale Information Networks
Chapter 3. Metadata for Search Engines
Chapter 4. Crosslingual Access to Photo Databases
Chapter 5. Fuzzy Ontologies Building Platform for Semantic Web

Section 2 Data Mining for Information Retrieval
Chapter 6. Searching and Mining with Semantic Categories
Chapter 7. Semantic Models in Information Retrieval
Chapter 8. The Use of Text Mining Techniques in Electronic Discovery for Legal Matters
Chapter 9. Intelligent Semantic Search Engines for Opinion and Sentiment Mining

Section 3 Interface
Chapter 10. Human-Centred Web Search
Chapter 11. Extensions of Web Browsers useful to Knowledge Workers
Chapter 12. Next Generation Search Engine for the Result Clustering Technology
Chapter 13. Using Association Rules for Query Reformulation
Chapter 14. Question Answering
Chapter 15. Finding Answers to Questions, in Text Collections or Web, in Open Domain or Specialty Domains
Chapter 16. Context-Aware Mobile Search Engine
Chapter 17. Spatio-Temporal Based Personalization for Mobile Search

Section 4 Evaluation
Chapter 18. Studying Web Search Engines from a User Perspective
Chapter 19. Artificial Intelligence Enabled Search Engines (AIESE) and the Implications
Chapter 20. A Framework for Evaluating the Retrieval Effectiveness of Search Engines