Research Challenges in Enterprise Information Retrieval

author: Rayid Ghani, Accenture Technology Labs
published: May 19, 2008,   recorded: March 2008,   views: 3710

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


Information Retrieval is a major component of Knowledge Management systems in every business but most of the research that is being done in IR today focuses on the Web and not on the needs and challenges of businesses. This is primarily due to the availability of data on the Web for academic researchers as well as familiarity with the problems in Web IR since all of us are consumers and can relate to the domain. In contrast, for Enterprise Information Retrieval, the data is not available to most researchers and the challenges and needs are not obvious to people who are not everyday users of such systems.

In this talk, I will point out some challenges in this domain, pose open research questions for the Information Retrieval, NLP, Machine Learning & Data Mining communities, and describe the experimental infrastructure that is being set up at Accenture Technology Labs to undertake those challenges. Our experimental test-bed for Enterprise Knowledge Management Research has access to potentially 150,000 users in Accenture and will allow us to collaborate with researchers and solve large-scale Enterprise Information Retrieval problems.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: