Google fusion tables: web-centered data management and collaboration
By Hector Gonzalez, Alon Y. Halevy, Christian S. Jensen, Anno Langen, Jayant Madhavan, Rebecca Shapley, Warren Shen, Jonathan Goldberg-Kidon. 2010
188 citations recorded by the source corpus.
Subfields: Information Systems and Management, Management Information Systems, Management Science and Operations Research
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
In Management Information Systems
In Management Science and Operations Research
- Jayant Madhavan
- Percy Liang
- Aditya G. Parameswaran
- Panupong Pasupat
- Alon Y. Halevy
- Samuel Madden
- Christian S. Jensen
- David R Karger
Citations in the corpus
- Google fusion tables: data management, integration and collaboration in the cloud (2010, background): “To collaborate, users can share the data with a select set of collaborators, or make it public and thus crawlable by search engines.”
- Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System (2016, methodology): “Visualization tools, such as ShowMe, Spotfire, and Tableau [28, 22, 8], along with similar tools from the database community [12, 19, 20, 18] have recently gained in popularity, catering to data scientists who lack programming skills.”
- Compositional Semantic Parsing on Semi-Structured Tables (2015, background): “…been several studies on analyzing or inferring the table schemas (Cafarella et al., 2008; Venetis et al., 2011; Syed et al., 2010; Limaye et al., 2010) and answering search queries by joining tables on similar columns (Cafarella et al., 2008; Gonzalez et al., 2010; Pimplikar and Sarawagi, 2012).”
- Collaborative Data Analytics with DataHub (2015, background): “The overall goal of collaboration is also espoused by fusion tables [7], however, fusion tables does not support versioning or modifications in other external tools.”