Computer Studies Bldg. Room 601
Ph.D. Thesis Proposal
With growing amount of text data on line, especially some well-organized corpus like
the Wikipedia, to make a better use of the data, (e.g: extract useful knowledge ) becomes
a more and more interesting problem. This proposal proposes the thesis work on building
knowledge system from normal, non-structured texts. The proposed approach will contain
two steps: transform texts into relational database (this transformation should be able to work
under semi-supervised manner)and build Markov Logic Network, a knowledge representation
which combines probablistic and logic.