1 / 5

“OOR for Big Data” Brainstorm Session

Join our brainstorm session on leveraging the Ontology Open Repository (OOR) for Big Data ecosystems. Explore technologies, mappings, identifiers, and more to enhance the Big Data landscape. Dive into discussions on supporting technologies and the role of OOR within Big Data ecosystems. This session builds upon the Ontology Summit 2012 theme and aims to drive progress in this emerging field. Don't miss the opportunity to contribute to the conversation and shape the future of Big Data.

audreyk
Download Presentation

“OOR for Big Data” Brainstorm Session

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. “OOR for Big Data”Brainstorm Session Mike Deanmdean@bbn.com http://ontolog.cim3.net/cgi-bin/wiki.pl?OOR/ConferenceCall_2012_08_1414 August 2012

  2. Background • Big Data is an important emerging topic • Ontology Summit 2012 theme • OOR can make an important contribution • This session continues the discussion from our May 17 virtual panel

  3. Potential Discussion Topics • Supporting technologies • OOR in a larger Big Data ecosystem • First steps • Programmatics • Technical

  4. Supporting Technologies • Relational Databases • W3C RDB2RDF Working Group • R2RML: RDB to RDF Mapping Language • A Direct Mapping of Relational Data to RDF • Multi-Dimensional Statistics • RDF Data Cube Vocabulary • Augmented to support “stand off” annotation

  5. Big Data Ecosystem • Ontology/model repositories • Mappings • Common identifiers • Instance registries • Data repositories • Service registries • Analytics • Visualization

More Related