-- In this paper, we put forward our approach for answering aggregated queries over imprecise data using domain specific taxonomies. A new concept we call the weighted hierarchical...
In this paper we present a method to represent knowledge associated with a course. Course knowledge can be represented in the form of hierarchical prerequisite relation based weigh...
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
The integration of bibliographical information on scholarly publications available on the Internet is an important task in the academic community. Accurate reference metadata extr...
Min-Yuh Day, Richard Tzong-Han Tsai, Cheng-Lung Su...
A seed-based framework for textual information extraction allows for weakly supervised acquisition of open-domain class attributes over conceptual hierarchies, from a combination ...