Tagging: People-powered Metadata for the Social Web Review

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Tagging: People-powered Metadata for the Social Web Review
This was a really good book. It wasn't what I expected it to be. But it was a worthwhile read. I picked it up because I do a fair amount of work writing book reviews and making guides and booklists on Amazon. And Amazon now lets guys like me create tags for the books I review and include in guides and lists. I kind of expected this book would have talked a little bit about the Amazon system of tagging. Nope. But that's OK. It's still a good book. It includes seven chapters and three appendices:
1. What is tagging?
2. The value of tagging
3. Tagging system architecture
4. Tags, metadata, and classical systems
5. Navigation and visualization
6. Interfaces
7. Technical design
A. Case study: social bookmarking
B. Case study: media sharing
C. Case study: personal information management
Tagging is a form of information that is really starting to take root in our computer systems and online systems. I first experienced it back in 1998 when I purchased a copy of Lotus Organizer to use as my Personal Information Manager (PIM) when practicing law. The program allowed me to cross-reference the many lists I had created in its database. I thought it was really cool back then.
I was just getting into creating Web sites in 1998, too. And I found the tagging features in Lotus Organizer enabled me to do with the data in my database what I was doing with my Web pages in my Web sites. Basically tagging is another name for hyperlinking. Nothing more and nothing less. A tag will take you to a new idea, concept, data item, data page, or database. It's a springboard that will take you to information.
This book points out that tagging is a new form of information management as it relates to personal organization, information architecture, and online communities. I suppose my Lotus Organizer program is an example of the first, and Amazon's system is an example of the last. So is it really all that new?
All in all, this book explains the value of tagging. It's a guide to what, how and why to tag. Each chapter ended in a list of bullet points called a Summary. I liked this feature very much since it helped me skim through the book quickly. 5 stars!Tagging: People-powered Metadata for the Social Web OverviewTagging is fast becoming one of the primary ways people organize and manage digital information. Tagging complements traditional organizational tools like folders and search on users desktops as well as on the web. These developments mean that tagging has broad implications for information management, information architecture and interface design. And its reach extends beyond these technical domains to our culture at large. We can imagine, for example, the scrapbookers of the future curating their digital photos, emails, ticket stubs and other mementos with tags. This book explains the value of tagging, explores why people tag, how tagging works and when it can be used to improve the user experience. It exposes tagging's superficial simplicity to reveal interesting issues related to usability, information architecture, online community and collective intelligence.

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Information Modeling and Relational Databases, Second Edition (The Morgan Kaufmann Series in Data Management Systems) Review

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Information Modeling and Relational Databases, Second Edition (The Morgan Kaufmann Series in Data Management Systems) ReviewEveryone needs this book. Read more to find out why:
If you intend to create genuinely useful business applications without first creating an accurate conceptual data model and deriving the database schema from the model, then I hope your projects have very large budgets and flexible deadlines, because you'll need both. Accurate conceptual data models are not an academic curiousity, they are a practical necessity. Well designed databases are the heart of every business application, and accurate conceptual data models are the foundation of every well designed database.
This book presents a method for data modeling called Object Role Modeling (ORM). If you've never created a data model before, you might as well learn the best method from the start. If you've used E-R (Entity Relationship) modeling before, this is your chance to learn a method that overcomes the limitations of E-R, while building on the knowledge you already have.
ORM is based on facts (assertions about the business sphere you are modeling), not entities and attributes. Business users understand facts much better than they understand data modeling abstractions. By using ORM facts, you create your data model in a language that business users can understand and validate. Poor communication with business users and inadequate understanding of requirements are major causes of design deficiencies. ORM solves these issues through its fact based approach.
ORM is also much more expressive than any other popular data modeling notation, ncluding UML and all major flavors of E-R. Many business rules should be expressed as data constraints, but traditional data modeling languages don't do well at capturing these constraints. By capturing the constraints in an ORM model and validating with the users, you make the construction of a good application much easier.
Halpin is an excellent writer, and this book is very easy to read. The many examples and crisp writing style mean that you'll actually understand what the author intends, a refreshing change from most computer books. If you've read the previous edition of this book, this update is very worthwhile. There is a lot of expanded and new material, and you'll be happy you purchased the new edition.Information Modeling and Relational Databases, Second Edition (The Morgan Kaufmann Series in Data Management Systems) OverviewInformation Modeling and Relational Databases, second edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Terry Halpin, a pioneer in the development of ORM, blends conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. Supported by examples, exercises, and useful background information, his step-by-step approach teaches you to develop a natural-language-based ORM model, and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives. *Presents the most indepth coverage of Object-Role Modeling available anywhere, including a thorough update of the book for ORM2, as well as UML2 and E-R (Entity-Relationship) modeling. *Includes clear coverage of relational database concepts, and the latest developments in SQL and XML, including a new chapter on the impact of XML on information modeling, exchange and transformation. * New and improved case studies and exercises are provided for many topics. * The book's associated web site provides answers to exercises, appendices, advanced SQL queries, and links to downloadable ORM tools.

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