A survey of RDF stores & SPARQL engines for querying knowledge graphs
RDF has seen increased adoption in recent years, prompting the standardization of the
SPARQL query language for RDF, and the development of local and distributed engines for …
SPARQL query language for RDF, and the development of local and distributed engines for …
Determinants of behavioral intention to use the Personalized Location-based Mobile Tourism Application: An empirical study by integrating TAM with ISSM
CC Chen, JL Tsai - Future Generation Computer Systems, 2019 - Elsevier
With the advent of the two-day weekend and improvements in the public transit system,
people have begun to focus on leisure activities. When the YouBike public bicycle system …
people have begun to focus on leisure activities. When the YouBike public bicycle system …
Join query optimization in the distributed database system using an artificial bee colony algorithm and genetic operators
V Panahi, NJ Navimipour - Concurrency and Computation …, 2019 - Wiley Online Library
As the main factor in the distributed database systems, query optimization is aimed at finding
an optimal execution plan to reduce the runtime. In such systems, because of the repeated …
an optimal execution plan to reduce the runtime. In such systems, because of the repeated …
Storage, partitioning, indexing and retrieval in Big RDF frameworks: A survey
Abstract Resource Description Framework (RDF) is increasingly being used to model data
on the web. RDF model was designed to support easy representation and exchange of …
on the web. RDF model was designed to support easy representation and exchange of …
[PDF][PDF] The EvoGen Benchmark Suite for Evolving RDF Data.
M Meimaris, G Papastefanatos - MEPDaW/LDQ@ ESWC, 2016 - ceur-ws.org
Artificial and synthetic data are widely used for benchmarking and evaluating database,
storage and query engines. This is usually performed in static contexts with no evolution in …
storage and query engines. This is usually performed in static contexts with no evolution in …
Global search in single-solution-based metaheuristics
NS Jaddi, S Abdullah - Data Technologies and Applications, 2020 - emerald.com
Purpose Metaheuristic algorithms are classified into two categories namely: single-solution
and population-based algorithms. Single-solution algorithms perform local search process …
and population-based algorithms. Single-solution algorithms perform local search process …
知识图谱在战术云服务平台中的应用.
罗玲, 孙学, 唐德波 - Telecommunication Engineering, 2020 - search.ebscohost.com
(Southwest China Institute of Electronic Technology, Chengdu 610036, China) Abstract:
Tactical cloud service platforms are important infrastructures for some advanced operational …
Tactical cloud service platforms are important infrastructures for some advanced operational …
Distance-based triple reordering for SPARQL query optimization
M Meimaris, G Papastefanatos - 2017 IEEE 33rd International …, 2017 - ieeexplore.ieee.org
SPARQL query optimization relies on the design and execution of query plans that involve
reordering triple patterns, in the hopes of minimizing cardinality of intermediate results. In …
reordering triple patterns, in the hopes of minimizing cardinality of intermediate results. In …
Multi-objective multi-join query optimisation using modified grey wolf optimisation
Nowadays information retrieved by a query is based upon extracting data across the world,
which are located in different data sites. In distributed database management systems …
which are located in different data sites. In distributed database management systems …
A shortest path approach to SPARQL chain query optimisation
The Semantic Web paradigm has opened several doors for representing information on the
web such that this information can be easily understood by both the humans and the …
web such that this information can be easily understood by both the humans and the …