langkah langkah membuat aplikasi toko dengan java netbeans

The result of this work can provide some guideline for choosing an appropriate RDF database system and applying a No SQL database in storing and querying RDF data. However, for a larger data set, MongoDB performs well for queries with simple operators while My SQL offers an efficient solution for complex queries. Based on the experimental results analysis, our proposed system outperforms other database systems for most queries when the data set size is small. We compare three database systems, which are Apache Jena TDB (native RDF store, My SQL (relational database, and our proposed system with MongoDB (No SQL database. We evaluate the proposed design and implementation by using the Berlin SPARQL Benchmark, which is one of the most widely accepted benchmarks for comparing the performance of RDF storage systems. We choose MongoDB to represent a No SQL database because it is one of the most popular high-performance No SQL databases. In this paper, we propose a method to exploit a No SQL database, specifically MongoDB, to store and query RDF data. Resource Description Framework (RDF is a standard for describing web resources. This causes the need for Semantic Web technology to quickly analyze such big data.

Its metadata is widely used in order to fully exploit web information resources. Design and evaluation of a No SQL database for storing and querying RDF dataĭirectory of Open Access Journals (Sweden)įull Text Available Currently the amount of web data has increased excessively.

Langkah langkah membuat aplikasi toko dengan java netbeans