A Graph Based Knowledge and Reasoning Representation Approach for Modeling MongoDB Data Structure and Query
| Autor: | Viorica Varga, Christian Sacarea, Camelia-Florina Andor |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Information retrieval
Computer science Interface (Java) Software tool Graph based 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology NoSQL computer.software_genre Data structure 0203 mechanical engineering Knowledge graph Proof of concept 0202 electrical engineering electronic engineering information engineering Representation (mathematics) computer |
| Zdroj: | SoftCOM |
| Popis: | MongoDB document store is the most popular of NoSQL systems. For managing and retrieving data, having a representation of its inherent knowledge structures proves to be significant for modeling purposes. In this paper, we present a modeling method for MongoDB data structure and query based on a graph based knowledge and reasoning (GBKR) model, due to Chein and Mugnier. The expressive power of the GBKR model makes it particularly suitable for conceptual modeling of semi-structured data. We propose a common interface for data structure modeling and queries in MongoDB by using knowledge graphs. For a proof of concept we have developed a software tool implementing these functions. |
| Databáze: | OpenAIRE |
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