Bachelor and Master Theses

Title: Advanced Intranet Seach Engine
Subject: Computer Science
Level: Advanced
Description: Advanced intranet search engine

A large amount of digital information is spread across the internet and intranets, making it very complex to be searched and managed. Many commercial search engines have evolved since the birth of World Wide Web to search through internet and give the most appropriate results with minimum redundancy. Various complex approaches had been developed, and several other domains had been explored to find the possible solution for scaling up the relevancy and precision level, but mostly for the internet environment only.

Most common technique for intranet based searches is still mere database-centric. Thus practically intranets are unable to avail the benefits of sophisticated techniques that have been developed for internet based search engines without exposing all the data to commercial search engines. The main goal of this Master level thesis is to study the possibility and come up with an in-depth design of an advanced search engine for intranet which is distributed, scalable and capable of dealing with continuously growing size of intranetsí knowledge base. It can be further extended to a prototype implementation, if the time permits.

The main study topics will be Annotation based ranking approach for the search results along with study of AI and NLP techniques for annotation processing and overall system design.
Prel. end date: 2010-04-28
Presentation date: 2009-08-28
Student: Nitesh Narayan nnn09001@student.mdh.se
IDT supervisor: Sasikumar Punnekkat
sasikumar.punnekkat@mdh.se, +46-21-107324
Examinator: Radu Dobrin
Radu Dobrin
radu.dobrin@mdh.se, 021-107356

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