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Re: [ontology-summit] Presenting diverse data sets as linked data - hack

To: Ontology Summit 2014 discussion <ontology-summit@xxxxxxxxxxxxxxxx>
From: Gary Berg-Cross <gbergcross@xxxxxxxxx>
Date: Fri, 7 Feb 2014 11:33:49 -0500
Message-id: <CAMhe4f1u5S7FhvyvrHcMQjWNMxPd53aShamZU6p2m-j3G1YR-A@xxxxxxxxxxxxxx>
I would like to propose a Hackathon of a slightly different type and see if there is interest and if it fits into the spirit of the Summit.

What I would propose is a session along the lines of a VoCamp aimed at developing/revising an Ontology Pattern as recently discussed in Track C and also Track A.

While the domain of the session if open for discussion (perhaps one of the Gestalt/Image Schema discussed by Aldo and Werner)  it would involve reuse of existing patterns and tools such as CMAP to be efficient.  Preferably it would be aimed at address bottleneck issues of generating good quality patterns, but it should be grounded in real data and preferably Big Data.

Gary Berg-Cross, Ph.D.  
NSF INTEROP Project  
SOCoP Executive Secretary
Knowledge Strategies    
Potomac, MD
240-426-0770


On Tue, Feb 4, 2014 at 5:28 AM, Victor Agroskin <vic5784@xxxxxxxxx> wrote:
To bring a content of a data source into the world of Linked Data can pose a significant challenge. Especially if the data set is not uniform, has a high degree of variety and data model for it can not be easily obtained. In such cases help can come from an ontology where these data can be seen as instances.

In the course of our software tool development  we became very interested to test this approach. We've started integration of our dot15926 Editor (http://techinvestlab.ru/dot15926Editor) with a web framework to allow easy and extendible definition of web page templates for presentation of complex interlinked ontology concepts.

We are proposing the following hackathon scenario for teams with similar interests:

1. Select a data source which is either already connected to some ontology (some RDF data set, for example), or whose meta-data (data model, table headings, etc.) can be mapped to one.

2. Define convenient presentation form for humans in terms of ontology patterns representing domain knowledge.

3. Make software prototype for the whole data-transformation chain or a part of it:  raw data - mapping - ontology-linked data - pattern search -  Linked Data web page presentation.

One of the key tasks for our team is to explore extendibility of this approach. We'd be happy to see tools which will allow step-by step development of data presentation as new and varying data sources are added to the project and new relevant patterns are identified.

We are looking for:

- people with data sets and relevant domain knowledge interested in bringing these data to Linked Data world (engineering data sets are a priority for us, as we're working with ISO 15926 ontology);

- people ready to test our tools (Python knowledge is required to work in dot15926 Editor environment, current version supports only part of the required functionality, access to new beta version of the software will be provided);

- people with their own tools and approaches interested in the scenario described above.

Our team will be virtureal, working online and in our real office in  Moscow, Russia.

Come on board!

Victor Agroskin
TechInvestLab.ru




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