1 / 4

Ontology Summit 2012

Ontology Summit 2012. Track 3 Challenge : Ontology and Big Data. Thursday, January 19, 2012. Mission Statement for Track 3 - Challenge: Ontology and Big Data.

ivrit
Download Presentation

Ontology Summit 2012

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. Ontology Summit 2012 Track 3Challenge: Ontology and Big Data Thursday, January 19, 2012

  2. Mission Statement for Track 3 - Challenge: Ontology and Big Data The mission of Track 3 is to identify appropriate objectives for an Ontology and Big Data challenge, prepare problem statements, identify the organizations and people to be advocates, and identify the resources necessary to complete a challenge. The goal will be to select a challenge showing benefits of ontology to big data. Thursday, January 19, 2012

  3. Action Plan • Identify objectives • Prepare problem statements • Identify advocates • Organizations • People • Identify resources Thursday, January 19, 2012

  4. Sample Problem Areas • How quickly could the highest level of certification be performed for a medical device developed using Automatic Programmingtechniques? For example, could a patient receive a new life-critical implantable medical device quickly, with all of the latest improvements, without having to choose between waiting months for the new version to be certified versus receiving it rapidly but with insufficient certification? • How can Automatic Programminghelp bring disciplined computer science principles to mechanical, electrical, civil, nuclear, and other engineering design and optimization tasks? How can we characterize the potential impact of this technology introduction? Another interesting question is how best to design a meta-generator that allows the rapid development of domain-specific languages (DSLs) to respond to time-critical needs. • Could a library of design knowledge (algorithms, abstractions, coding methods, etc.) for Automatic Programmingbe obtained by scanning and analyzing all of the open source software on the Internet? • How close could an Automatic Programmingsystem come to a human-level understanding of software? Thursday, January 19, 2012

More Related