Research Interests:

I am generally interested in Artificial Intelligence, Web Intelligence, and the Semantic Web. My main focus is on Knowledge Representation, Retrieval, and Reasoning on the Web. More on my recent work could be found in "Selected Publications" page.

 
Projects:
 

A European funded 7th framework project "The Large Knowledge Collider (LarKC)". My research in LarKC focus on two major directions: (1) Retrieval and Reasoning based on vague or incomplete queries. (2) Unifying Search and Reasoning.
 

DBLP-SSE (The DBLP Search Support Engine) is developed by the International WIC Institite, Beijing University of Technology. It is developed based on the principles of Information Retrieval Support Systems. It aims at providing more supporting functionalities based on the DBLP to help users find more useful knowledge and provide analysis of search results to support their research. For more information about DBLP-SSE, please visit the DBLP-SSE website.

 
USeR-G ( Unifying Search and Reasoning from the Viewpoing of Granularity ) is a set of strategies that aim at combining the idea of granularity and ReaSearch (Unifying Search and Reasoning) at Web Scale to solve the diversity and scalability problems. It emphasize to make incomeplete Web scale reasoning focus on appropriate levels and views on the web of data, neglecting irrelevant information, in order to find more important results in the time-bounded and Web-scale environment.
 
Context-Aware Linked Life Data Search
LinTY is a personalized Web search engine that is built on top of Yahoo! search and provides personalized search results with "real-time interests from a specific user's Twitter" as a context.