Abstract
Modern data analysis combines general knowledge stored in databases with individual knowledge obtained from the crowd, capturing people habits and preferences. To account for such mixed knowledge, along with user interaction and optimization issues, crowd mining platforms must employ a complex process of reasoning, automatic crowd task generation and result analysis. In this talk, the speaker will describe a generic architecture for crowd mining applications. This architecture allows us to examine and compare the components of existing crowdsourcing systems and point out extensions required by crowd mining. It also highlights new research challenges and potential reuse of existing techniques/components. The speaker will exemplify this for the OASSIS project, a system developed by her research group, and for other prominent crowdsourcing frameworks.
About the speaker
Prof Tova Milo received her PhD in Computer Science from the Hebrew University, Jerusalem in 1992. She then worked in the INRIA research institute in Paris and University of Toronto before returned to Israel in 1995. Prof Milo joined the School of Computer Science at Tel Aviv University in 1995 and she is currently a Professor and the head of the Database research group and holds the Chair of Information Management.
Prof Milo’s research focuses on advanced database applications such as data integration, XML and semi-structured information, Data-centered Business Processes and Crowd-sourcing, studying both theoretical and practical aspects.
Prof Milo served as the Program Chair of several international conferences and a member of the VLDB Endowment and the ICDT executive board. She also served as the chair of the PODS Executive Committee and an editor of TODS and the Logical Methods in Computer Science Journal. She received grants from the Israel Science Foundation, the US-Israel Binational Science Foundation, the Israeli and French Ministry of Science and the European Union. She was elected a Fellow of the Association for Computing Machinery, a member of Academia Europaea, and a recipient of the 2010 ACM PODS Alberto O. Mendelzon Test-of-Time Award.
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