A '˜Killer App': Semantic Data Integration
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A '˜Killer App': Semantic Data Integration

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CSHALS Talk 2011

CSHALS Talk 2011

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  • Toby talked about “Practical Semantics”, this talk is about that. It’s also about making ‘the simple things simple’ which Charlie alluded to in his talk. By the end of this 10 minutes, you’ll have seen how easy semantic integration can be.
  • Save Time, Save Money, Save lives.By applying all of the available data to a problem.And this is what we do with customers.
  • These are some of the advantages of semantic technologies that we are realizing in practice with our customers.The top two speak to saving time and money. The latter speak to the richness of the technology model. This richness is what makes it easy for users to ask complex questions of their data and get back the results they are interested in. Pretty simple, also pretty valuable. On top of this, you can layer formal ontologies and reasoning.
  • This is one take-away. Data integration in the Life Sciences is a challenge and semantic technologies present an elegant solution.
  • Part of that elegance is that this model enables an iterative integration process. You don’t have to design the entire solution in detail before you start work. You can start by delivering value to users using a few data sets, then turn the crank to add more data to the integration as new data sets become available and relevant.There’ve very little risk or brittleness here.
  • There are a few different approaches to building an integration. Custom scripting will work, but is pretty labor intensive and not very maintainable Pipelining is well suited to statistical processing, but when it comes to integrating data it tends to be overly complicated. We chatted a bit about the barriers involved with pipelines this morning. What I’m going to demonstrate are some point and click tools, that make it simple and quick.
  • Again, point and click tools can really put the Easy Button on this process. It’s simple enough for technically minded subject matter experts to use on their own. It’s also powerful enough that IT teams can use it to create large integrations for their customers.There’s a lot of flexibility here as well. For instance, you can start with a formal ontology that you’ve adopted from a third party or built yourself.
  • This is going to be an intentionally very simple demo, as I’m really trying to demystify what can be a very simple process.So this could have been any sort of structured data or relational sources.I left a lot of topics out of this demo: picking and modifying ontologies, Thesauri, working with SPARQL endpoints, different backend servers, automating this process, etc. But I hope a gave you a taste of how straightforward this can be and a also of the Practical Semantics that Toby talked about when kicking off the conference.

A '˜Killer App': Semantic Data Integration A '˜Killer App': Semantic Data Integration Presentation Transcript

  • A ‘Killer’ App:Semantic Data Integration
    Integrate – Innovate - Accelerate
    February25th, 2011
    Chuck Rockey, Senior Director of Engineering & Professional Services
    Confidential
    IO Informatics © 2011
  • Semantic Data Integration
    Save Time
    Save Money
    Save Lives
    … by integrating ALL of the structured, unstructured and public data of interest
    Confidential
    IO Informatics © 2011
  • Semantic KB Advantages
    Inexpensive
    Quick to Build
    Comprehensive
    Flexible
    Linked
    Meaning is explicitly represented
    Confidential
    IO Informatics © 2010
  • Semantic KB Advantages
    An Elegant Solution…
    to a Difficult Problem
    Confidential
    IO Informatics © 2010
  • Iterative Process
    Gather Requirements
    Create / Identify Ontologies
    ETL / Generate Assertions
    Queries – Test Integration
    Iterate your data model in minutes!
    Confidential
    IO Informatics © 2011
  • ETL Approaches
    Custom Scripting
    Pipelining Tools
    Point & Click Tools
    Confidential
    IO Informatics © 2011
  • Point & Click Approach
    Fast and Easy
    Create application ontologies on-the-fly
    Use existing ontologies if desired
    Fine-grained control
    Instant visualizations
    Mappings are visual, reusable and easily maintainable
    Confidential
    IO Informatics © 2011
  • Live Demo
    Confidential
    IO Informatics © 2011