Research:Named Entity Disambiguation
Key Personnel 
- Erdal Kuzey
Project Summary 
An application which can extract named entities from plain text and maps them to Wikipedia articles. An example is as follows:
Input Text: Obama had an interesting discussion with Merkel during 37th G8 Summit.
Many machine learning techniques and engineering methods will be used in order to develop an entity disambiguation application. Currently, redirect pages, anchor texts and disambiguation pages are extensively used in prototype application. However, more data is needed to have better coverage and precision. For this reason, query logs of Wikipedia is strongly needed. What meant by a query log is the search terms that users issue to Wikipedia search box and the results returned by Wikipedia Search Engine. And if there is a good match, then user will click one of the results. Thus, a query log is intended to have a structure like as the triple (QUERY--> RESULTSET---> CLICKED RESULT). Each triple is one of many entries in the query log.
All outcome of this project will be published and publicly available. Wikipedia Research team and Wikipedia will be referenced and acknowledged in the publication of this work.
Wikimedia Policies, Ethics, and Human Subjects Protection 
No private data will be published. so, the project is believed to be ethical and scientific.
Benefits for the Wikimedia community 
Apart from scholarly publications of this work, a webservice will be released in order to automatically annotate plain texts. So, that wikipedia free texts can be annotated with Wikipedia interlinks.
Time Line 
The project is supported by a PhD grant given by Max Planck Institute for Informatics.
A similar work done by my colleagues is: http://www.mpi-inf.mpg.de/yago-naga/aida/ A demo version is also available in the site above.
Erdal Kuzey ekuzey (at) mpi-inf (dot) mpg (dot) de