News Column

Findings on Database Management Discussed by Investigators at Fudan University

June 24, 2014



By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Current study results on Database Management have been published. According to news originating from Shanghai, People's Republic of China, by VerticalNews correspondents, research stated, "In a previous paper, we laid out the vision of a novel graph query processing paradigm where instead of processing a visual query graph after its construction, it interleaves visual query formulation and processing by exploiting the latency offered by the gui to filter irrelevant matches and prefetch partial query results [8]. Our recent attempts at implementing this vision [8, 9] show significant improvement in system response time (srt) for subgraph queries."

Our news journalists obtained a quote from the research from Fudan University, "However, these efforts are designed specifically for graph databases containing a large collection of small or medium-sized graphs. In this paper, we propose a novel algorithm called quble (QUery Blender for Large nEtworks) to realize this visual subgraph querying paradigm on very large networks (e.g., protein interaction networks, social networks). First, it decomposes a large network into a set of graphlets and supergraphlets using a minimum cut-based graph partitioning technique. Next, it mines approximate frequent and small infrequent fragments (sifs) from them and identifies their occurrences in these graphlets and supergraphlets. Then, the indexing framework of [9] is enhanced so that the mined fragments can be exploited to index graphlets for efficient blending of visual subgraph query formulation and query processing."

According to the news editors, the research concluded: "Extensive experiments on large networks demonstrate effectiveness of quble."

For more information on this research see: QUBLE: towards blending interactive visual subgraph search queries on large networks. VLDB Journal, 2014;23(3):401-426. VLDB Journal can be contacted at: Springer, 233 Spring St, New York, NY 10013, USA. (Springer - www.springer.com; VLDB Journal - www.springerlink.com/content/1066-8888/)

The news correspondents report that additional information may be obtained from H.H. Hung, Fudan University, Shanghai 200433, People's Republic of China. Additional authors for this research include S.S. Bhowmick, B.Q. Truong, B. Choi and S.G. Zhou.

Keywords for this news article include: Asia, Shanghai, Database Management, People's Republic of China

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


For more stories covering the world of technology, please see HispanicBusiness' Tech Channel



Source: Information Technology Newsweekly


Story Tools






HispanicBusiness.com Facebook Linkedin Twitter RSS Feed Email Alerts & Newsletters