Abstract
Many popular sites, such as Wikipedia and Tripadvisor, rely on public participation to gather information - a process known as crowd data sourcing. While this kind of collective intelligence is extremely valuable, it is also fallible, and policing such sites for inaccuracies or missing material is a costly undertaking. In this talk we will overview the MoDaS project that investigates how database technology can be put to work to effectively gather information from the public, efficiently moderate the process, and identify questionable input with minimal human interaction [1-4, 7]. We will consider the logical, algorithmic, and methodological foundations for the management of large scale crowd-sourced data as well as the development of applications over such information.
| Original language | English |
|---|---|
| Title of host publication | Database and Expert Systems Applications - 24th International Conference, DEXA 2013, Proceedings |
| Pages | 7-8 |
| Number of pages | 2 |
| Edition | PART 1 |
| DOIs | |
| State | Published - 2013 |
| Event | 24th International Conference on Database and Expert Systems Applications, DEXA 2013 - Prague, Czech Republic Duration: 26 Aug 2013 → 29 Aug 2013 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 1 |
| Volume | 8055 LNCS |
Conference
| Conference | 24th International Conference on Database and Expert Systems Applications, DEXA 2013 |
|---|---|
| Country/Territory | Czech Republic |
| City | Prague |
| Period | 26/08/13 → 29/08/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- General Computer Science
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