A walk in graph databases

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  • user warning: Table 'cache_filter' is marked as crashed and should be repaired query: UPDATE cache_filter SET data = '<h1 class=\"rtecenter\">A walk in graph databases</h1>\n<p class=\"rtecenter\"><strong><span class=\"gI\"><a href=\"http://www.linkedin.com/in/pierredewilde\">Pierre De Wilde</a></span></strong><strong><span class=\"gI\"> (TinkerPop, Memotive)</span></strong></p>\n<div class=\"gmail_extra\">\n<h2>Abstract:</h2>\n<div class=\"gmail_extra\">For the past 40 years, most of our data have been stored in relational databases. Behind the NoSQL movement, we will see how scalability and index-intensive issues are addressed. After the introduction of the property graph model, we will start our walk in graph databases with Gremlin, a flexible graph traversal language. A step-by-step guide will help us to manipulate and traverse a graph database. Several traversal patterns will be explored. We will end our walk by connecting graphs to the Linked Data world.</div>\n<div class=\"gmail_extra\">&nbsp;</div>\n<h2>Websites:</h2>\n<div class=\"gmail_extra\"><a href=\"http://tinkerpop.com/\" target=\"_blank\">http://tinkerpop.com</a></div>\n<div class=\"gmail_extra\"><a href=\"http://neo4j.org/\" target=\"_blank\">http://neo4j.org</a></div>\n<div class=\"gmail_extra\">&nbsp;</div>\n<h2>Papers:</h2>\n<div class=\"gmail_extra\">Constructions from Dots and Lines (2010)</div>\n<div class=\"gmail_extra\">by Marko A. Rodriguez and Peter Neubauer</div>\n<div class=\"gmail_extra\"><a href=\"http://arxiv.org/abs/1006.2361\" target=\"_blank\">http://arxiv.org/abs/1006.2361</a></div>\n<div class=\"gmail_extra\">&nbsp;</div>\n<div class=\"gmail_extra\">The Graph Traversal Pattern (2010)</div>\n<div class=\"gmail_extra\">by Marko A. Rodriguez and Peter Neubauer</div>\n<div class=\"gmail_extra\"><a href=\"http://arxiv.org/abs/1004.1001\" target=\"_blank\">http://arxiv.org/abs/1004.1001</a></div>\n<div class=\"gmail_extra\">&nbsp;</div>\n<h2>The speaker:</h2>\n<div class=\"gmail_extra\">Over the past ten years, Pierre has explored several ways to represent knowledge: Concept Maps, Semantic Web, Linked Data and Graph Databases. He has created an experimental navigation tool for knowledge bases like ConceptNet, DBPedia, Freebase, OpenCyc, TrueKnowledge. On top of the property graph model, he is currently creating an online concept mapping tool for fostering collective intelligence.</div>\n<div class=\"gmail_extra\">&nbsp;</div>\n<h2>Slides of the talk:</h2>\n<p>Can be found here:&nbsp; <a target=\"_blank\" href=\"http://www.slideshare.net/pierredewilde/a-walk-in-graph-databases-v10\">http://www.slideshare.net/<wbr></wbr>pierredewilde/a-walk-in-graph-<wbr></wbr>databases-v10</a></p>\n</div>\n<p>&nbsp;</p>\n', created = 1628057793, expire = 1628144193, headers = '', serialized = 0 WHERE cid = '2:c4fe89609966662ea9b0ca3b5a3da267' in /home2/secrecco/www/includes/cache.inc on line 109.

A walk in graph databases

Pierre De Wilde (TinkerPop, Memotive)

Abstract:

For the past 40 years, most of our data have been stored in relational databases. Behind the NoSQL movement, we will see how scalability and index-intensive issues are addressed. After the introduction of the property graph model, we will start our walk in graph databases with Gremlin, a flexible graph traversal language. A step-by-step guide will help us to manipulate and traverse a graph database. Several traversal patterns will be explored. We will end our walk by connecting graphs to the Linked Data world.
 

Websites:

 

Papers:

Constructions from Dots and Lines (2010)
by Marko A. Rodriguez and Peter Neubauer
 
The Graph Traversal Pattern (2010)
by Marko A. Rodriguez and Peter Neubauer
 

The speaker:

Over the past ten years, Pierre has explored several ways to represent knowledge: Concept Maps, Semantic Web, Linked Data and Graph Databases. He has created an experimental navigation tool for knowledge bases like ConceptNet, DBPedia, Freebase, OpenCyc, TrueKnowledge. On top of the property graph model, he is currently creating an online concept mapping tool for fostering collective intelligence.
 

Slides of the talk:

Can be found here:  http://www.slideshare.net/pierredewilde/a-walk-in-graph-databases-v10