The Aqua approximate query answering system

1999 ◽  
Vol 28 (2) ◽  
pp. 574-576 ◽  
Author(s):  
Swarup Acharya ◽  
Phillip B. Gibbons ◽  
Viswanath Poosala ◽  
Sridhar Ramaswamy
Keyword(s):  
Query Answering ◽  
Approximate Query Answering ◽  
Approximate Query

Approximate Query Answering with Knowledge Hierarchy

2010 ◽  
pp. 189-203
Author(s):  
Wookey Lee ◽  
Myung-Keun Shin ◽  
Soon Young Huh ◽  
Donghyun Park ◽  
Jumi Kim
Keyword(s):  
Cost Model ◽  
Numerical Data ◽  
Query Answering ◽  
Query Relaxation ◽  
Approximate Query Answering ◽  
Novel Method ◽  
Approximate Query ◽  
Semantic Distances ◽  
Ranking Measures ◽  
Knowledge Hierarchy

Approximate Query Answering is important for incorporating knowledge abstraction and query relaxation in terms of the categorical and the numerical data. By exploiting the knowledge hierarchy, a novel method is addressed to quantify the semantic distances between the categorical information as well as the numerical data. Regarding that, an efficient query relaxation algorithm is devised to modify the approximate queries to ordinary queries based on the knowledge hierarchy. Then the ranking measures work very efficiently to cope with various combinations of complex queries with respect to the number of nodes in the hierarchy as well as the corresponding cost model.

scholarly journals Approximate Query Answering Based on Topological Neighborhood and Semantic Similarity in OpenStreetMap

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 87011-87030
Author(s):  
Anna Formica ◽  
Mauro Mazzei ◽  
Elaheh Pourabbas ◽  
Maurizio Rafanelli
Keyword(s):  
Semantic Similarity ◽  
Query Answering ◽  
Approximate Query Answering ◽  
Approximate Query

Join synopses for approximate query answering

1999 ◽  
Vol 28 (2) ◽  
pp. 275-286 ◽  
Author(s):  
Swarup Acharya ◽  
Phillip B. Gibbons ◽  
Viswanath Poosala ◽  
Sridhar Ramaswamy
Keyword(s):  
Query Answering ◽  
Approximate Query Answering ◽  
Approximate Query
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