SPARQL2XQuery: Utilizing Schema Mapping, Schema Transformation and Query Translation to Integrate XML and the Semantic Web
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graphVizdb :: A Scalable Tool for Interactive Large (RDF) Graph Visualization

graphVizdb :: A Scalable Tool for Interactive Large (RDF) Graph Visualization | SPARQL2XQuery: Utilizing Schema Mapping, Schema Transformation and Query Translation to Integrate XML and the Semantic Web | Scoop.it

graphVizdb :: A scalable platform for interactive large (RDF) graph visualization.


> home: www.graphvizdb.com

> vimeo: https://vimeo.com/117547871

> facebook: www.facebook.com/graphVizdb


#Graph #Visualization #Tool #Visual #Exploration #graphVizdb #LargeGraph #GraphData


-- Info: Bikakis et al. "graphVizdb: A Scalable Platform for Interactive Large Graph Visualization" IEEE ICDE 2016

 

 w: www.graphvizdb.com

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SPARQL2XQuery Framework - New Article - to appear in World Wide Web Journal (WWWJ), Springer 2013.

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New World Wide Web Journal (WWWJ) Article 

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10 intriguing real-world uses for big data

10 intriguing real-world uses for big data | SPARQL2XQuery: Utilizing Schema Mapping, Schema Transformation and Query Translation to Integrate XML and the Semantic Web | Scoop.it
The amount of data in the world is increasing exponentially, doubling every 18 months. It's starting to touch nearly every aspect of our lives, sometimes in unexpected ways.

Via Pekka Puhakka
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Learning SPARQL, 2nd Edition - Free eBook Share

Learning SPARQL, 2nd Edition - Free eBook Share | SPARQL2XQuery: Utilizing Schema Mapping, Schema Transformation and Query Translation to Integrate XML and the Semantic Web | Scoop.it
eBook Free Download: Learning SPARQL, 2nd Edition | PDF, EPUB | ISBN: 1449371434 | 2013-07-15 | English | PutLocker

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Fox eBook's curator insight, August 8, 2013 10:22 AM

Gain hands-on experience with SPARQL, the RDF query language that’s bringing new possibilities to semantic web, linked data, and big data projects. This updated and expanded edition shows you how to use SPARQL 1.1 with a variety of tools to retrieve, manipulate, and federate data from the public web as well as from private sources.

Author Bob DuCharme has you writing simple queries right away before providing background on how SPARQL fits into RDF technologies. Using short examples that you can run yourself with open sourcesoftware, you’ll learn how to update, add to, and delete data in RDF datasets.

  • Get the big picture on RDF, linked data, and the semantic web
  • Use SPARQL to find bad data and create new data from existing data
  • Use datatype metadata and functions in your queries
  • Learn techniques and tools to help your queries run more efficiently
  • Use RDF Schemas and OWL ontologies to extend the power of your queries
  • Discover the roles that SPARQL can play in your applications
Table of Contents

Chapter 1. Jumping Right In: Some Data and Some Queries
Chapter 2. The Semantic Web, RDF, and Linked Data (and SPARQL)
Chapter 3. SPARQL Queries: A Deeper Dive
Chapter 4. Copying, Creating, and Converting Data (and Finding Bad Data)
Chapter 5. Datatypes and Functions
Chapter 6. Updating Data with SPARQL
Chapter 7. Query Efficiency and Debugging
Chapter 8. Working with SPARQL Query Result Formats
Chapter 9. RDF Schema, OWL, and Inferencing
Chapter 10. Building Applications with SPARQL
Chapter 11. A SPARQL Cookbook

ArunSandu's curator insight, April 22, 2016 3:16 PM
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The SPARQL2XQuery Framework | Bridging the Gap between the XML and the Semantic Web Worlds.

The SPARQL2XQuery Framework | Bridging the Gap between the XML and the Semantic Web Worlds. | SPARQL2XQuery: Utilizing Schema Mapping, Schema Transformation and Query Translation to Integrate XML and the Semantic Web | Scoop.it

RT @katerinMarkakou: The SPARQL2XQuery Framework | Bridging the Gap between the XML and the Semantic Web Worlds.: http://t.co/V0r9kAM4...


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SPARQL2XQuery @ facebook

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Facebook Page 

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Visualizing SPARQL end point results with d3.js

Visualizing SPARQL end point results with d3.js | SPARQL2XQuery: Utilizing Schema Mapping, Schema Transformation and Query Translation to Integrate XML and the Semantic Web | Scoop.it

SPARQL and RDF are very quickly becoming the (Open) standard for linking and accessing database works. Readers of my blog I have been searching the corners of what can and cannot be achieved with this for some time now.

Triggered by some nice visualization work at the BioHackathon on ChEMBL content, I picked up visualization of RDF data (see this 2010 post where I asked people to visualize data using SPARQL). So, and since d3.js is cool nowadays (it was processing.js in the past), so I had a go at the learning curve.


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luiy's curator insight, July 8, 2013 5:50 AM

SPARQL and RDF are very quickly becoming the (Open) standard for linking and accessing databaseworks. Readers of my blog I have been searching the corners of what can and cannot be achieved with this for some time now.

Triggered by some nice visualization work at the BioHackathon on ChEMBL content, I picked up visualization of RDF data (see this 2010 post where I asked people to visualize data using SPARQL). So, and since d3.js is cool nowadays (it was processing.js in the past), so I had a go at the learning curve.

I started with a pie chart and this example code. Because I was working on the SPARQL queries for metabolites in WikiPathways (using Andra's important WP-RDF work, doi:10.1038/npre.2011.6300.1).