澳洲塔斯馬尼亞大學(xué)終身助理教授鮑芝峰博士在中國人民大學(xué)信息學(xué)院作了題為“如何使數(shù)據(jù)可用?”的講座，鮑芝峰博士的報告從如何讓海量的數(shù)據(jù)變得可用為切入點，介紹在研究過程中如何有效的將理論知識和實際問題相結(jié)合，總結(jié)得出發(fā)現(xiàn)問題是研究中關(guān)鍵的一步。鮑芝峰博士講座的主要內(nèi)容是：

　　大數(shù)據(jù)現(xiàn)在是圍繞我們生活的每一個角落 - 數(shù)據(jù)是異構(gòu)的大容量和變化率高。一個非常艱巨的任務(wù)是如何使數(shù)據(jù)可用數(shù)據(jù)的消費者。數(shù)據(jù)不能使自己的生活變得更好，除非我們提供了一種方法來找到這樣的大數(shù)據(jù)海洋她預(yù)計“針”。在這次演講中，我想給我的作品概述改善易用性在異構(gòu)數(shù)據(jù)。特別是，我們將談?wù)摰目捎眯院托阅軉栴}上的結(jié)構(gòu)化數(shù)據(jù)(如關(guān)系數(shù)據(jù))，半結(jié)構(gòu)化數(shù)據(jù)(如XML)，非結(jié)構(gòu)化數(shù)據(jù)(例如文本)，空間數(shù)據(jù)，時間序列數(shù)據(jù)(如軌跡)，多媒體數(shù)據(jù)(例如圖像和視頻)和圖形數(shù)據(jù)(如社交網(wǎng)絡(luò))。來自不同域的數(shù)據(jù)是不共享的用處不大，所以在談話的最后，我們調(diào)出了如何加強信息共享通過社交網(wǎng)絡(luò)，為用戶的用戶的話題。

　　原文：Big data is now around every corner of our life - data is heterogeneous, of large volume and high rate of change. A very demanding task is how to make the data usable to data consumers. Data cannot make one's life better unless we provide her a way to find her expected 'needle' in such big data ocean. In this talk, I would like to give an overview of my works on improving the usability over heterogeneous data. In particular, we will talk about the usability and performance issues on structured data (e.g. relational data), semi-structured data (e.g. XML), unstructured data (e.g. text), spatial data, time-series data (e.g. trajectory), multimedia data (e.g. images and videos), and graph data (e.g. social network). Data from different domains is less useful without sharing, so at the end of the talk we bring up the topic of how to enhance information sharing over the social network, for the users by the users.