Books by Toby Segaran

Demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. This book explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general - from information collected every day.

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.With Beautiful Data, you will:Explore the opportunities and challenges involved in working with the vast number of datasets made available by the WebLearn how to visualize trends in urban crime, using maps and data mashupsDiscover the challenges of designing a data processing system that works within the constraints of space travelLearn how crowdsourcing and transparency have combined to advance the state of drug researchUnderstand how new data can automatically trigger alerts when it matches or overlaps pre-existing dataLearn about the massive infrastructure required to create, capture, and process DNA dataThat's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include:Nathan YauJonathan Follett and Matt HolmJ.M. HughesRaghu Ramakrishnan, Brian Cooper, and Utkarsh SrivastavaJeff HammerbacherJason Dykes and Jo WoodJeff Jonas and Lisa SokolJud ValeskiAlon Halevy and Jayant MadhavanAaron Koblin with Valdean KlumpMichal MigurskiJeff HeerCoco KrummePeter NorvigMatt Wood and Ben BlackburneJean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon WillighagenLukas Biewald and Brendan O'ConnorHadley Wickham, Deborah Swayne, and David PooleAndrew Gelman, Jonathan P. Kastellec, and Yair GhitzaToby Segaran

With this book, the promise of the Semantic Web -- in which machines can find, share, and combine data on the Web -- is not just a technical possibility, but a practical reality Programming the Semantic Web demonstrates several ways to implement semantic web applications, using current and emerging standards and technologies. You'll learn how to incorporate existing data sources into semantically aware applications and publish rich semantic data.Each chapter walks you through a single piece of semantic technology and explains how you can use it to solve real problems. Whether you're writing a simple mashup or maintaining a high-performance enterprise solution,Programming the Semantic Web provides a standard, flexible approach for integrating and future-proofing systems and data.This book will help you:Learn how the Semantic Web allows new and unexpected uses of data to emergeUnderstand how semantic technologies promote data portability with a simple, abstract model for knowledge representationBecome familiar with semantic standards, such as the Resource Description Framework (RDF) and the Web Ontology Language (OWL)Make use of semantic programming techniques to both enrich and simplify current web applications