Genetic Algorithms for RDF Query Path Optimization
نویسندگان
چکیده
In this paper we present an approach based on genetic algorithms for determining optimal RDF query paths. The performance of this approach is benchmarked against the performance of a two-phase optimization algorithm. For more complex queries, the genetic algorithm RDFGA generally outperforms two-phase optimization in solution quality, execution time needed, and consistency in performance. Setting a time limit improves the overall performance of RDFGA compared to two-phase optimization even more.
منابع مشابه
Relational Databases Query Optimization using Hybrid Evolutionary Algorithm
Optimizing the database queries is one of hard research problems. Exhaustive search techniques like dynamic programming is suitable for queries with a few relations, but by increasing the number of relations in query, much use of memory and processing is needed, and the use of these methods is not suitable, so we have to use random and evolutionary methods. The use of evolutionary methods, beca...
متن کاملGenetic Algorithms for RDF Chain Query Optimization
The application of Semantic Web technologies in an Electronic Commerce environment implies a need for good support tools. Fast query engines are required for efficient real-time querying of large amounts of data, usually represented using RDF. We focus on optimizing a special class of SPARQL queries: RDF chain queries. We devise a genetic algorithm, RCQ-GA, that determines the order in which jo...
متن کاملOptimizing RDF Chain Queries using Genetic Algorithms
In an Electronic Commerce environment, Semantic Web technologies are promising enablers for large-scale knowledge-based systems, as they facilitate machine-interpretability of data through effective data representation. Fast query engines are required for efficient real-time querying of large amounts of data, usually represented using the Resource Description Framework (RDF). An RDF model is a ...
متن کاملContainment and Minimization of RDF/S Query Patterns
Semantic query optimization (SQO) has been proved to be quite useful in various applications (e.g., data integration, graphical query generators, caching, etc.) and has been extensively studied for relational, deductive, object, and XML databases. However, less attention to SQO has been devoted in the context of the Semantic Web. In this paper, we present sound and complete algorithms for the c...
متن کاملA Hybrid Nature Inspired Algorithm for Generating Optimal Query Plan
The emergence of the Semantic Web technology increases day by day due to the rapid growth of multiple web pages. Many standard formats are available to store the semantic web data. The most popular format is the Resource Description Framework (RDF). Querying large RDF graphs becomes a tedious procedure with a vast increase in the amount of data. The problem of query optimization becomes an issu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008