Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo...
In many data-centric applications, it is desirable to use OWL as an expressive schema language with which one expresses constraints that must be satisfied by instance data. However...
Jiao Tao, Evren Sirin, Jie Bao, Deborah L. McGuinn...
This paper studies a text mining problem, comparative sentence mining. A comparative sentence expresses an ordering relation between two sets of entities with respect to some comm...
OWL DL, being established by W3C, is a Knowledge Representation Markup Language for the Semantic Web. OWL DL is a new synthesis of research on KRML for the Semantic Web, which nee...
Even with todays hardware improvements, performance problems are still common in many software systems. An approach to tackle this problem for component-based software architectur...