Reverse Analysis Method of Static XSS Defect Detection Technique Based on Database Query Language

2014 ◽  
Author(s):  
Cui Baojiang ◽  
Long Baolian ◽  
Hou Tingting
Keyword(s):  
Defect Detection ◽  
Query Language ◽  
Detection Technique ◽  
Analysis Method ◽  
Database Query ◽  
Reverse Analysis ◽  
Database Query Language

Keyword-Based Language for Mobile Phones Query Services

2007 ◽  
pp. 369-374
Author(s):  
Z. Abdul-Mehdi
Keyword(s):  
Mobile Phones ◽  
Query Language ◽  
Development Work ◽  
Database Query ◽  
Work Related ◽  
Database Query Language ◽  
Query System

This article will highlight the framework opted by the authors in developing a database query system for usage on mobile phones. As the development work is still in progress, the authors will share some of the approaches taken in developing a prototype for a relationally complete database query language. This work concentrates on developing an application-independent, relationally complete database query language. The remainder of this article is organized as follows. The next section presents some of the existing work related to the study. We then introduce and describe the framework undertaken in order to develop a database query system for mobile phones, and discuss the prototype of the database query language used by the system. We end with our conclusion.

scholarly journals Improving Data Management using Domain Knowledge

2018 ◽  
Author(s):  
Magdalena Ortiz
Keyword(s):  
Data Management ◽  
Incomplete Data ◽  
Domain Knowledge ◽  
Query Language ◽  
Reliable Data ◽  
World Assumptions ◽  
Database Query ◽  
Closed World ◽  
Database Query Language ◽  
Tools And Techniques

The development of tools and techniques for flexible and reliable data management is a long-standing challenge, ever more pressing in today’s data-rich world. We advocate using domain knowledge expressed in ontologies to tackle it, and summarize some research efforts to this aim that follow two directions. First, we consider the problem of ontology-mediated query answering (OMQA), where queries in a standard database query language are enriched with an ontology expressing background knowledge about the domain of interest, used to retrieve more complete answers when querying incomplete data. We discuss some of our contributions to OMQA, focusing on (i) expressive languages for OMQA, with emphasis on combining the open- and closed-world assumptions to reason about partially complete data; and (ii) OMQA algorithms based on rewriting techniques. The second direction we discuss proposes to use ontologies to manage evolving data. In particular, we use ontologies to model and reason about constraints on datasets, effects of operations that modify data, and the integrity of the data as it evolves.

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