As the Internet continues to become part of our lives, there now exists an overabundance of reliable information sources on this medium. The temporal and cognitive resources of human beings, however, do not change. "Information Extraction from the Internet" provides methods and tools for Web information extraction and retrieval. Success in this area will greatly enhance business processes and provide information seekers new tools that allow them to reduce their searching time and cost involvement. This book focuses on the latest approaches for Web content extraction, and analyzes the limitations of existing technology and solutions. "Information Extraction from the Internet" includes several interesting and popular topics that are being widely discussed in the area of information extraction: data spasity and field-associated knowledge (Chapters 1-2), Web agent design and mining components (Chapters 3-4), extraction skills on various documents (Chapters 5-7), duplicate detection for music documents (Chapter 8), name disambiguation in digital libraries using Web information (Chapter 9), Web personalization and user-behavior issues (Chapters 10-11), and information retrieval case studies (Chapters 12-14). "Information Extraction from the Internet" is suitable for advanced undergraduate students and postgraduate students. It takes a practical approach rather than a conceptual approach. Moreover, it offers a truly reader-friendly way to get to the subject related to information extraction, making it the ideal resource for any student new to this subject, and providing a definitive guide to anyone in this vibrant and evolving discipline. This book is an invaluable companion for students, from their first encounter with the subject to more advanced studies, while the full-color artworks are designed to present the key concepts with simplicity, clarity, and consistency.