Report on the First International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2014)

G. Koutrika, L. Lakshmanan, Mirek Riedewald, K. Stefanidis
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引用次数: 3

Abstract

The second ExploreDB 2015 workshop intends to bring together researchers and practitioners from different fields, ranging from data management and information retrieval to data visualization and human computer interaction. The workshop program consisted of two keynote talks and six peer-reviewed research papers. The first keynote talk titled 'Explore-By-Example: A New Database Service for Interactive Data Exploration' was given by Prof. Yanlei Diao from the University of Massachusetts at Amherst. Prof. Diao pointed out that while computing power, memory size, and the ability to collect data are growing exponentially, human ability to understand data remains practically flat. In the second keynote, titled 'Principled Optimization Frameworks for Query Reformulation of Database Queries', Prof. Gautam Das from the University of Texas at Arlington focused on solutions for the many-answers and the empty-answers problems. He proposed to address both problems through ranked retrieval. Xiaoyu Ge, Panos Chrysanthis and Alexandros Labrinidis ('Preferential Diversity') explored how to achieve personalization through preferences on result diversity. Diversity was also the focus in 'Diversifying with Few Regrets, But too Few to Mention' by Zaeem Hussain, Hina Khan and Mohamed Sharaf.
第一届数据库与网络探索性搜索国际研讨会报告(explorerdb 2014)
第二届explordb 2015研讨会旨在汇集来自不同领域的研究人员和实践者,从数据管理和信息检索到数据可视化和人机交互。研讨会计划包括两个主题演讲和六篇同行评议的研究论文。第一个主题演讲的题目是“举例探索:一种新的交互式数据探索数据库服务”,由马萨诸塞大学阿默斯特分校的刁艳蕾教授作。刁教授指出,虽然计算能力、内存大小和收集数据的能力呈指数级增长,但人类理解数据的能力实际上仍然保持不变。在第二场主题演讲中,来自美国德克萨斯大学阿灵顿分校的Gautam Das教授重点讨论了多答案和空答案问题的解决方案,题为“数据库查询查询重构的原则优化框架”。他建议通过排序检索来解决这两个问题。葛晓宇、Panos Chrysanthis和Alexandros Labrinidis (' preference Diversity')探讨了如何通过对结果多样性的偏好来实现个性化。多样性也是Zaeem Hussain, Hina Khan和Mohamed Sharaf撰写的《多元化没有遗憾,但太少提及》一书的重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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