Study on Graphic Database & Visual Query System of Ecological Development of Dianchi Lake Basin
Jie Song, Xingyuan Chen · Advances in computer science research · 2016
It is rather difficult to store and manage the diverse data source of ecological development of Dianchi Lake basin through traditional RDBMS due to their various types, massive data, complex relationship as well as their dynamic changes.We established graphics database and visual query system to analyse the ecological system of Dianchi Lake basin based on targeted modeling and study of query methods on ecological environment characteristics, by adopting graph store models of Neo4j, a high-performance distributed graphics database, to solve the necessity to structure index and query of multiple data sources under distributed environment by the time of data renewal.You can rely on the traverse and search of the graphics to add or delete the database, which is less complex and has a relative faster speed for data renewal.It adopts composite algorithm of incremental subgraph searching to solve the unsatisfactory result of query due to context ambiguity from key word query, and brings a high matching accuracy.By adopting visual query, users could have access to a friendly graphics interface, and have access of feedback graphics for every step of incremental query.It changes the situation that the query result cannot be observed directly and reflects the mutual relationship between complex data and plays an important role on scientific decision making of ecological development.