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Thursday, June 30, 2011
David InterContinental, Tel Aviv, Israel
Corner

הוספת יכולות חיפוש בעברית לאפליקציות

12:55

 

Search engines available today render almost useless when you need to process Hebrew texts. Even effective open-source solutions like Lucene/Solr give up in despair when handed a Hebrew corpus to index.

 

HebMorph is an open-source project with the ultimate goal of solving this problem, and in the best way possible. In-depth understanding of how search engines work triggers ideas, ideas become software parts, and those in turn are experimented with various state of the art search engines. HebMorph already has a production-ready solution with several happy users. It is now in the phase of further development and relevance testing.

 

This lecture is all about practical Hebrew search. We will see how search engines work, and learn how we can use their power to make our applications better for us and for our users (hands-on!). This will allow us to get a glimpse at the large array of issues Hebrew poses to search engines, and after seeing some real-world examples we will get to know how HebMorph approaches this.

  • Itamar

    Itamar Syn-Hershko

    Software Developer

    Hibernating Rhinos

    www.code972.com/blog

     

    Itamar Syn-Hershko, a software developer writing mostly for .NET but also in Java and C/C++, really likes fiddling with data, texts especially, so he frequently finds himself working on databases or search engines. Or combining both.

     

    Author of open-source projects like HebMorph and NAppUpdate, and an active participant of others (CLucene for example), Itamar strongly believes in the power of open-source projects and the creativity they can bring to the table.

     

    Hibernating Rhinos, where he works, is an agile company creating Data Access solutions like profiers for (N)Hibernate and other ORMs. Their flagship product is RavenDB, a second generation document database released under the AGPL.

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