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These are some books and resources that are useful for the development of lean semantic web application. It covers both RDF/SPARQL/OWL and many other mature industrial pratices on how to leverage the power of structured data in the Web age.

What are the inclusion criteria?

  • state of the art
  • practice over theories
  • actable, distalled practice over encyclopedia
  • proven technologies

Also see: Syllabus

[Work in progress]

Section 1 Data Representation

  • Dean Allemang, James Hendler. Semantic Web for the Working Ontologist, Second Edition: Effective Modeling in RDFS and OWL. Morgan Kaufmann. 2011 http://workingontologist.org/
  • Toby Segaran, Colin Evans, Jamie Taylor. Programming the Semantic Web. O'Reilly 2009

Section 2 Databases

  • Niall O'Higgins. MongoDB and Python: Patterns and processes for the popular document-oriented database. O'Reilly. 2011
  • Kyle Banker. MongoDB in Action. Manning 2011
  • Alessandro Nadalin. OrientDB in Action. 2013 (to be published)
  • The Neo4j Manual http://docs.neo4j.org/ (in pdf and html)
  • TinkerPop stack http://www.tinkerpop.com/

Section 3 Search

  • Elastic Search Guide http://www.elasticsearch.org/guide/
  • Trey Grainger and Timothy Potter. Solr in Action. Manning, 2013 (to be published)
  • Maksim Tsvetovat; Alexander Kouznetsov. Social Network Analysis for Startups O'Reilly. 2011. (for graph search and NetworkX reference)

Section 4 Data Exchange and Integration

Section 5 Inference

Section 6 Knowledge Extraction

  • Steven Bird, Ewan Klein, and Edward Loper. Natural Language Processing with Python. O'Reilly, 2009. http://nltk.org/book/
  • Matthew A. Russell. Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites. O'Reilly, 2011 https://github.com/ptwobrussell/Mining-the-Social-Web
  • Q. Ethan McCallum. Bad Data Handbook: Cleaning Up The Data So You Can Get Back To Work. O'Reilly 2012
  • Drew Conway, John Myles White. Machine Learning for Hackers. O'Reilly 2012
  • Jacob Perkins. Python Text Processing with NLTK 2.0 Cookbook, Packt Publishing, 2010

Section 7 Visualization

  • Nathan Yau. Visualize This: The FlowingData Guide to Design, Visualization, and Statistics. Wiley. 2011. http://book.flowingdata.com/
  • Mike Dewar. Getting Started with D3. O'Reilly 2012
  • Scott Murray. Interactive Data Visualization for the Web. O'Reilly 2012

Section 8 User Interaction

Section 9: Big Data and Lean Data

  • Tom Heath, Christian Bizer. Linked Data: Evolving the Web into a Global Data Space Synthesis Lectures on the Semantic Web: Theory and Technology, 1:1, 1-136. Morgan & Claypool. http://linkeddatabook.com/editions/1.0/
  • Pete Warden. Big Data Glossary. O'Reilly 2011

Section 10 Lean Application Development

At large

  • Tim Berners-Lee. Weaving the Web. Harper Business 2000