IC Colloquium: Experts-in-the-Loop in Crowdsourced Data Management
Event details
| Date | 26.11.2018 |
| Hour | 16:15 › 17:30 |
| Location | |
| Category | Conferences - Seminars |
By: Tova Milo - School of Computer Science at Tel Aviv University
Video of her talk
Abstract:
One of the foremost challenges for information technology over the last years has been to explore, understand, and extract useful information from large amounts of data. To assist in this challenging task, a new research field called data-centered crowdsourcing has emerged, aiming to effectively delegate a wide range of analysis tasks to human workers (called crowd) and to improve the efficiency of this process. But what may be achieved with the help of the crowd naturally depends on the properties of the human workers. This talk will focus on the high end of workers - knowledgeable crowds - and in particular domain knowledge experts, and examine how they can be used for assisting in solving data management problems. Specifically we examine two complementary dimensions: (1) How domain experts can help in improving the data itself, e.g. by gathering missing data and improving the quality of existing data, and (2) How they can assist in gathering meta-data that facilitate improved data processing. In each of the two dimensions we zoom on one typical problem-instance and investigate how experts can be effectively harnesses to improve data processing in this instance.
Bio:
Tova Milo received her Ph.D. degree in Computer Science from the Hebrew University, Jerusalem, in 1992. After graduating she worked at the INRIA research institute in Paris and at University of Toronto and returned to Israel in 1995, joining the School of Computer Science at Tel Aviv university, where she is now a full Professor and holds the Chair of Information Management. She served as the Head of the Computer Science Department from 2011-2014. Her research focuses on large-scale data management applications such as data integration, semi-structured information, Data-centered Business Processes and Crowd-sourcing, studying both theoretical and practical aspects. Tova served as the Program Chair of multiple international conferences, including PODS, VLDB, ICDT, XSym, and WebDB, and as the chair of the PODS Executive Committee. She served as a member of the VLDB Endowment and the PODS and ICDT executive boards and as an editor of TODS, IEEE Data Eng. Bull, and the Logical Methods in Computer Science Journal. Tova has 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 is an ACM Fellow, a member of Academia Europaea, a recipient of the 2010 ACM PODS Alberto O. Mendelzon Test-of-Time Award, the 2017 VLDB Women in Database Research award, the 2017 Weizmann award for Exact Sciences Research, and of the prestigious EU ERC Advanced Investigators grant.
More information
Video of her talk
Abstract:
One of the foremost challenges for information technology over the last years has been to explore, understand, and extract useful information from large amounts of data. To assist in this challenging task, a new research field called data-centered crowdsourcing has emerged, aiming to effectively delegate a wide range of analysis tasks to human workers (called crowd) and to improve the efficiency of this process. But what may be achieved with the help of the crowd naturally depends on the properties of the human workers. This talk will focus on the high end of workers - knowledgeable crowds - and in particular domain knowledge experts, and examine how they can be used for assisting in solving data management problems. Specifically we examine two complementary dimensions: (1) How domain experts can help in improving the data itself, e.g. by gathering missing data and improving the quality of existing data, and (2) How they can assist in gathering meta-data that facilitate improved data processing. In each of the two dimensions we zoom on one typical problem-instance and investigate how experts can be effectively harnesses to improve data processing in this instance.
Bio:
Tova Milo received her Ph.D. degree in Computer Science from the Hebrew University, Jerusalem, in 1992. After graduating she worked at the INRIA research institute in Paris and at University of Toronto and returned to Israel in 1995, joining the School of Computer Science at Tel Aviv university, where she is now a full Professor and holds the Chair of Information Management. She served as the Head of the Computer Science Department from 2011-2014. Her research focuses on large-scale data management applications such as data integration, semi-structured information, Data-centered Business Processes and Crowd-sourcing, studying both theoretical and practical aspects. Tova served as the Program Chair of multiple international conferences, including PODS, VLDB, ICDT, XSym, and WebDB, and as the chair of the PODS Executive Committee. She served as a member of the VLDB Endowment and the PODS and ICDT executive boards and as an editor of TODS, IEEE Data Eng. Bull, and the Logical Methods in Computer Science Journal. Tova has 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 is an ACM Fellow, a member of Academia Europaea, a recipient of the 2010 ACM PODS Alberto O. Mendelzon Test-of-Time Award, the 2017 VLDB Women in Database Research award, the 2017 Weizmann award for Exact Sciences Research, and of the prestigious EU ERC Advanced Investigators grant.
More information
Practical information
- General public
- Free
- This event is internal
Contact
- Host: Christoph Koch