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Query processing over incomplete autonomous databases: query rewriting using learned data dependencies.
| Content Provider | CiteSeerX |
|---|---|
| Author | Wolf, Garrett Kalavagattu, Aravind Khatri, Hemal Balakrishnan, Raju Chokshi, Bhaumik Fan, Jianchun Chen, Yi Kambhampati, Subbarao |
| Abstract | Incompleteness due to missing attribute values (aka “null values”) is very common in autonomous web databases, on which user accesses are usually supported through mediators. Traditional query processing techniques that focus on the strict soundness of answer tuples often ignore tuples with critical missing attributes, even if they wind up being relevant to a user query. Ideally we would like the mediator to retrieve such possible answers and gauge their relevance by accessing their likelihood of being pertinent answers to the query. The autonomous nature of web databases poses several challenges in realizing this objective. Such challenges |
| File Format | |
| Access Restriction | Open |
| Content Type | Text |
