Semantic Aware Implication and Satisfiability for Conjunctive Queries in Semantic Caching

2012 ◽  
pp. 44-54
Author(s):  
Muhammad Azeem Abbas ◽  
Muhammad Abdul Qadir ◽  
Munir Ahmad ◽  
Tariq Ali
Keyword(s):  
Conjunctive Queries ◽  
Semantic Caching

Graph based query trimming of conjunctive queries in semantic caching

2011 ◽  
Author(s):  
Muhammad Azeem Abbas ◽  
Muhammad Abdul Qadir ◽  
Munir Ahmad ◽  
Tariq Ali ◽  
Naseer Ahmed Sajid
Keyword(s):  
Conjunctive Queries ◽  
Semantic Caching

Responsibility Analysis for Lineages of Conjunctive Queries with Inequalities

2014 ◽  
Vol 26 (6) ◽  
pp. 1532-1543 ◽  
Author(s):  
Biao Qin ◽  
Shan Wang ◽  
Xiaofang Zhou ◽  
Xiaoyong Du
Keyword(s):  
Conjunctive Queries

scholarly journals Semantic Optimization in Tractable Classes of Conjunctive Queries

2017 ◽  
Vol 46 (2) ◽  
pp. 5-17 ◽  
Author(s):  
Pablo Barceló ◽  
Andreas Pieris ◽  
Miguel Romero
Keyword(s):  
Conjunctive Queries

scholarly journals Efficient Private Conjunctive Query Protocol Over Encrypted Data

Cryptography ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 2
Author(s):  
Tushar Kanti Saha ◽  
Takeshi Koshiba
Keyword(s):  
Homomorphic Encryption ◽  
Data Access ◽  
Conjunctive Query ◽  
Conjunctive Queries ◽  
Private Data ◽  
Binary Format ◽  
Main Technique ◽  
Batch Technique ◽  
Outsourced Database ◽  
Packing Method

Conjunctive queries play a key role in retrieving data from a database. In a database, a query containing many conditions in its predicate, connected by an “and/&/∧” operator, is called a conjunctive query. Retrieving the outcome of a conjunctive query from thousands of records is a heavy computational task. Private data access to an outsourced database is required to keep the database secure from adversaries; thus, private conjunctive queries (PCQs) are indispensable. Cheon, Kim, and Kim (CKK) proposed a PCQ protocol using search-and-compute circuits in which they used somewhat homomorphic encryption (SwHE) for their protocol security. As their protocol is far from being able to be used practically, we propose a practical batch private conjunctive query (BPCQ) protocol by applying a batch technique for processing conjunctive queries over an outsourced database, in which both database and queries are encoded in binary format. As a main technique in our protocol, we develop a new data-packing method to pack many data into a single polynomial with the batch technique. We further enhance the performances of the binary-encoded BPCQ protocol by replacing the binary encoding with N-ary encoding. Finally, we compare the performance to assess the results obtained by the binary-encoded BPCQ protocol and the N-ary-encoded BPCQ protocol.

scholarly journals Conjunctive queries over trees

2006 ◽  
Vol 53 (2) ◽  
pp. 238-272 ◽  
Author(s):  
Georg Gottlob ◽  
Christoph Koch ◽  
Klaus U. Schulz
Keyword(s):  
Conjunctive Queries
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