NREngine: A Graph-Based Query Engine for Network Reachability

2021 ◽  
pp. 90-106
Author(s):  
Wenjie Li ◽  
Lei Zou ◽  
Peng Peng ◽  
Zheng Qin
Keyword(s):  
Query Engine

scholarly journals Starling: A Scalable Query Engine on Cloud Functions

2020 ◽  
Author(s):  
Matthew Perron ◽  
Raul Castro Fernandez ◽  
David DeWitt ◽  
Samuel Madden
Keyword(s):  
Query Engine

Evolution of a compiling query engine

2021 ◽  
Vol 14 (12) ◽  
pp. 3207-3210
Author(s):  
Thomas Neumann
Keyword(s):  
Query Engine

Fuzzy XQuery

2015 ◽  
pp. 158-198
Author(s):  
José Ángel Labbad ◽  
Ricardo R. Monascal ◽  
Leonid Tineo
Keyword(s):  
Performance Analysis ◽  
Open Source ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Database Systems ◽  
Query Languages ◽  
Xml Data ◽  
Fuzzy Query ◽  
Query Engine

Traditional database systems and languages are very rigid. XML data and query languages are not the exception. Fuzzy set theory is an appropriate tool for solving this problem. In this sense, Fuzzy XQuery was proposed as an extension of the XQUERY standard. This language defines the xs:truth datatype, the xml:truth attribute and allows the definition and use of fuzzy terms in queries. The main goal of this chapter is to show a high coupling implementation of Fuzzy XQuery within eXist-db, an open source XML DBMS. This extension strategy could also be used with other similar tools. This chapter also presents a statistical performance analysis of the extended fuzzy query engine using the XMark benchmark with user defined fuzzy terms. The study presents promising results.

Geospatial Semantic Query Engine for Urban Spatial Data Infrastructure

2019 ◽  
Vol 15 (4) ◽  
pp. 31-51
Author(s):  
Sunitha Abburu
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Semantic Relations ◽  
Semantic Relationship ◽  
Data Infrastructure ◽  
Semantic Query ◽  
Semantic Relationships ◽  
Query Engine ◽  
Spatial Method ◽  
User Friendly

The research aims at design and develop a special semantic query engine “CityGML Spatial Semantic Web Client (CSSWC)” that facilitates ontology-based multicriteria queries on CityGML data in OGC standard. Presently, there is no spatial method, spatial information infrastructure or any tool to establish the spatial semantic relationship between the 3D city objects in CityGML model. The present work establishes the spatial and semantic relationships between the 3DCityObjects and facilitates ontology-driven spatial semantic query engine on 3D city objects, class with multiple attributes, spatial semantic relations like crosses, nearby, etc., with all other city objects. This is a novel and original work practically implemented generic product for any 3D CityGML model on the globe. A user-friendly form-based interface is designed to compose effective ontology based GeoSPARQL query. CSSWC enhances CityGML applications performance through effective and efficient querying system.

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