Graph Based NoSQL DataBases : Abilities and Applications
Publish place: The first national conference on new approaches in electrical and computer engineering
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 839
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
NAECE01_123
تاریخ نمایه سازی: 26 شهریور 1395
Abstract:
—Most graph databases are NoSQL in nature and store their data in a key-value store or document-oriented databases. In general terms, they can be considered to be key-value databases with the additional relationship concept added. Relationships allow the values in the store to be related to each other in a free form way, as opposed to traditional relational databases where therelationships are defined within the data itself. These relationships allow complex hierarchies to be quickly traversed, addressing one of the more common performance problems found in traditional key-value stores. Most graph databases also add the concept of tags or properties, which are essentially relationships lacking a pointer to another document. In computing, a graph database is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. In this article, we define the graph databases neo4j, graphdb, Sesame, AllegroGraph , dex first, then we compare the features of each together.
Authors
Parisa Delfani
Lorestan University ,Khorramabad,Iran
Parastou Alavi
Lorestan University ,Khorrramabad,Iran
Ehsan Azizi Khadem
Lorestan University, Khorramabad, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :