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Zentity Optimization RRS feed

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    Hi,

    I am a researcher at the University of Auckland and I found zentity recently which acts as a hybrid store.

    In most of semantic stores, optimization is a major issue currently and I would like to know how Zentity is designed to overcome the optimization issues.

     

    Thanks

    Ganesh

    Tuesday, July 3, 2012 8:26 AM

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    Hi Ganesh,

    Thanks for showing interest in Zentity. I need to contact with the Zentity product team to get a response for you as I am not an very confirmed with the these details. I will update with the response once I get from the product team.

    -Regards

    Wednesday, July 4, 2012 6:41 AM
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    Hi Kalnemi,

    Thanks for your response.

    Awaiting to knew more about Zentity!!!!!

    Thanks

    Ganesh

    Monday, July 9, 2012 7:31 AM
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    Hi,

    Thank you for your patience .

    Zentity is built upon Entity Framework 4.0 and SQL Server 2008 act as the data store platform. The search in Zentity is mostly based on the data platform, here MS SQL Server 2008. Zentity uses the underlying SQL search features (Full-Text search) on tables and columns to get the result. Zentity itself does not do any semantic analysis and transformations upon the information content in code.

     A detailed description of the SQL server 2008 search can be found at

    http://technet.microsoft.com/en-us/library/cc721269(v=SQL.100).aspx

    Zentity is very flexible and you can include and exclude the” information’s to be searched” with easy changes in the configuration files.

    Zentity core is designed over RDF. This allows Zentity to discover or create relationships between the resources or information.

    To know more on Zentity please visit

    http://research.microsoft.com/en-us/downloads/a4125c74-36ea-4f23-9278-792de0808e45/default.aspx

    http://research.microsoft.com/en-us/projects/zentity/

    Please let me know if this helps you or any further query.

    -Regards

    • Proposed as answer by Kalnemi Monday, July 9, 2012 9:24 AM
    Monday, July 9, 2012 9:24 AM