Project description:
There are major trends to advance the functionality of search engines to a
more expressive semantic level. This is enabled by the proliferation of
knowledge-sharing communities and the advances in large-scale information
extraction from semistructured as well as natural-language Web sources. The
grand vision is to turn the Web into a comprehensive knowledge base that can
be efficiently searched with high precision. Our research towards this
objective is centered around the YAGO knowledge base and the NAGA search
engine. YAGO is a large collection of entities and relational facts that are
harvested from Wikipedia and WordNet with high accuracy and reconciled into
a consistent RDF-style "semantic" graph. For further growing YAGO from Web
sources while retaining its high quality, pattern-based extraction is
combined with logic-based consistency checking in a unified framework. NAGA
provides graph-template-based search over this data, with powerful ranking
capabilities based on a statistical language model for graphs.
Currently, we are trying to extract more facts from free-text of Wikipedia
and Google News. More interesting and challenging issue is to add temporal
attribute to facts, say Timely-YAGO.

Place:
Max-Planck-Institut fuer Informatik
Databases and Information Systems Group (D5)
Campus E1 4,   66123 Saarbruecken - Germany

Salary:
700~750 euro per month

Position:
Research assistant student.

Position duration:
More than 6 months (the longer the better)

Qualification:
1. Bachelor or Master Student.
2. Proficiency in Java programming language
3. Good Web application development (Servlet, JSP, Javacript, etc.)
4. Good written and verbal communication skills in English.
5. Strong self-learning skill.
6. Good team work and high ability to solve problems on one's own

Special skill as a plus:
1. C++, C
2. AJAX
3. Linux

有意者请站信。
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