Junliang Zhang

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We present in this paper the design and an evaluation of a novel interface called the Relation Browser++ (RB++) for searching and browsing large information collections. RB++ provides visualized category overviews of an information space and allows dynamic filtering and exploration of the result set by tightly coupling the browsing and searching functions.(More)
1. INTRODUCTION The size and breadth of digital libraries makes it difficult for people to quickly grasp what content is and is not available. Consequently, people usually need an overview of the digital library to help them decide if it is worthwhile to look further. As they do look further, it is helpful for their searching and browsing to get an idea of(More)
In this article we present a method for retrieving documents from a digital library through a visual interf based on automatically generated concepts. We used a vocabulary generation algorithm to generate a se concepts for the digital library and a technique called the max-min distance technique to cluster them. Additionally, the concepts were visualized in(More)
This paper describes ongoing research into the application of machine learning techniques for improving access to governmental information in complex digital libraries. Under the auspices of the GovStat Project, our goal is to identify a small number of semantically valid concepts that adequately spans the intellectual domain of a collection. The goal of(More)
The system we will demo is an interface called Relation Browser++ (RB++), which is intended to help users explore, browse and search large information collection effectively and efficiently. It is the latest updated version of relational browser (Marchionini & Brunk, 2003). Applications of RB++ in several different domains will be demonstrated, such as(More)
Fuel cells are the most clean and efficient power source for vehicles. In particular, proton exchange membrane fuel cells (PEMFCs) are the most promising candidate for automobile applications due to their rapid start-up and low-temperature operation. Through extensive global research efforts in the latest decade, the performance of PEMFCs, including energy(More)
Glycopeptides such as vancomycin and telavancin are essential for treating infections caused by Gram-positive bacteria. But the dwindling availability of new antibiotics and the emergence of resistant bacteria are making effective antibiotic treatment increasingly difficult. Ramoplanin, an inhibitor of bacterial cell wall biosynthesis, is a highly effective(More)