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)
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 what is in the(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)
As government agencies provide increasing amounts of information through their Web sites, more people are attempting to make sense of it. The result is a significant volume of e-mail queries - many of which boil down to "Where can I find X?" or "What does X mean exactly?" Such queries underline a major stumbling block to widespread digital access: how best(More)
Osteosarcoma is the most common primary sarcoma of bone, and it is a leading cause of cancer death among adolescents and young adults. However, the molecular mechanism underlying osteosarcoma carcinogenesis remains poorly understood. Recently, cyclin-dependent kinase 6 (CDK6) was identified as an important oncogene. We found that CDK6 protein level, rather(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)
This paper presents a model of intelligent content filtering model to resolve the current network security audit system in filtering the information deficiency. First of all, in accordance with the characteristics of network security audit system, as well as the advantages and disadvantages of content filtering methods commonly, this paper choose suitable(More)