On Tag-based Querying of Wide Tables
| dc.contributor.author | DAI, Bing Tian | en_US |
| dc.contributor.author | LU, Meiyu | en_US |
| dc.contributor.author | OOI, Beng Chin | en_US |
| dc.contributor.author | TUNG, Anthony K. H. | en_US |
| dc.date.accessioned | 2010-03-30T06:53:18Z | en_US |
| dc.date.accessioned | 2017-01-23T07:00:14Z | |
| dc.date.available | 2010-03-30T06:53:18Z | en_US |
| dc.date.available | 2017-01-23T07:00:14Z | |
| dc.date.issued | 2010-01-15 | en_US |
| dc.description.abstract | The huge amount of heterogeneous data that are generated from Web 2.0 applications have resulted in the use of wide tables where tuples with different schemas may co-exist. Providing users with such freedom however poses new challenges such as difficulty in query formulation and query processing, and lack of guarantee in data quality. In this paper, we propose an out-of-the-box approach that deals with challenges from a semantic perspective. We interpret the semantics of each data value by a set of similar tags. Such association between values and tags provides a layer that separates database operations from the database storage layer. This layer also serves as a platform for users to query the databases by a group of tags. We conducted a series of experiments and the results confirm its effectiveness. | en_US |
| dc.format.extent | 453546 bytes | en_US |
| dc.format.mimetype | application/pdf | en_US |
| dc.identifier.uri | https://dl.comp.nus.edu.sg/xmlui/handle/1900.100/3111 | en_US |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | TRA1/10 | en_US |
| dc.title | On Tag-based Querying of Wide Tables | en_US |
| dc.type | Technical Report | en_US |