Fast and Scalable Range and Keyword Query Processing Over Encrypted Data with Provable Adaptive Security

2020 ◽  
pp. 37-67
Author(s):  
Alex X. Liu ◽  
Rui Li
Keyword(s):  
Query Processing ◽  
Adaptive Security ◽  
Keyword Query ◽  
Encrypted Data

Top-Down XML Keyword Query Processing

2016 ◽  
Vol 28 (5) ◽  
pp. 1340-1353 ◽  
Author(s):  
Junfeng Zhou ◽  
Wei Wang ◽  
Ziyang Chen ◽  
Jeffrey Xu Yu ◽  
Xian Tang ◽  
...  
Keyword(s):  
Query Processing ◽  
Top Down ◽  
Keyword Query ◽  
Xml Keyword Query

Effective keyword search on graph data using limited root redundancy of answer trees

2018 ◽  
Vol 14 (3) ◽  
pp. 299-316 ◽  
Author(s):  
Chang-Sup Park
Keyword(s):  
Query Processing ◽  
Keyword Search ◽  
Information Need ◽  
Keyword Query ◽  
Content Type ◽  
Graph Data ◽  
Distinct Root ◽  
Path Index ◽  
Complex Graph ◽  
Efficient Query Processing

Purpose This paper aims to propose a new keyword search method on graph data to improve the relevance of search results and reduce duplication of content nodes in the answer trees obtained by previous approaches based on distinct root semantics. The previous approaches are restricted to find answer trees having different root nodes and thus often generate a result consisting of answer trees with low relevance to the query or duplicate content nodes. The method allows limited redundancy in the root nodes of top-k answer trees to produce more effective query results. Design/methodology/approach A measure for redundancy in a set of answer trees regarding their root nodes is defined, and according to the metric, a set of answer trees with limited root redundancy is proposed for the result of a keyword query on graph data. For efficient query processing, an index on the useful paths in the graph using inverted lists and a hash map is suggested. Then, based on the path index, a top-k query processing algorithm is presented to find most relevant and diverse answer trees given a maximum amount of root redundancy allowed for a set of answer trees. Findings The results of experiments using real graph datasets show that the proposed approach can produce effective query answers which are more diverse in the content nodes and more relevant to the query than the previous approach based on distinct root semantics. Originality/value This paper first takes redundancy in the root nodes of answer trees into account to improve the relevance and content nodes redundancy of query results over the previous distinct root semantics. It can satisfy the users’ various information need on a large and complex graph data using a keyword-based query.

scholarly journals Share Market Management System Based Keyword Query Processing on XML Data

2016 ◽  
Vol 5 (2) ◽  
pp. 245-251
Author(s):  
Darsana C.S ◽  
Roshni P ◽  
Chandini K ◽  
Surekha Mariam Varghese
Keyword(s):  
Query Processing ◽  
Management System ◽  
Keyword Query ◽  
Xml Data ◽  
Market Management
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