摘要
目前,大尺度生态系统氮通量的计算主要依靠半经验模型(quasi-empirical mod-el),即在收集到的各类参数的基础上,利用经验公式来求解氮通量的大小。然而,在运用半经验模型的过程中遇到一些问题,其中包括:1)变量的缺失导致计算完备性无法保证;2)不确定性分析困难;3)数据无法规范共享。本体(ontology)是描述概念及概念间关系的语义模型,它可以统一和丰富对数据的描述从而促进数据的共享;而且,其推理机制和概念层次结构可以为半经验模型提供缺失变量下的自动推理与不确定性分析等功能。本文为氮通量半经验计算模型构建了域本体(nitrogen flux calculation ontology,NFCO),并提出了一个基于NFCO的自动推理和不确定性分析框架。NFCO及自动推理分析框架可以改善大尺度生态系统氮通量的计算质量,为建立大尺度生态系统氮循环数据库提供了基础。
At present, large-scale ecosystem nitrogen flux calculation mainly depends on quasi- empirical models which quantify the nitrogen fluxes by using empirical formulas based on various kinds of collected parameters. However, quasi-empirical models have several limitations in appli- cation, including （ 1 ） completeness of calculation cannot be ensured due to the lack of variables, （2） uncertainty analysis is difficult, and （ 3 ） data sharing is lack of standardization. Ontology is a semantic model for describing concepts and their relations, which can unify and enrich the de- scription of data to improve data sharing. In addition, the reasoning mechanism and hierarchy of ontology can provide automatic reasoning for quasi-empirical models to find out unavailable varia- bles and conduct uncertainty analysis. In this paper, the domain ontology for the quasi-empirical models of nitrogen flux calculation （NFCO） was constructed, and a framework of automatic rea- soning and uncertainty analysis based on NFCO was proposed, which would improve the quality of large-scale ecosystem nitrogen flux calculation, and build a solid foundation for establishing large-scale ecosystem nitrogen cycle database.
出处
《生态学杂志》
CAS
CSCD
北大核心
2012年第6期1562-1570,共9页
Chinese Journal of Ecology
基金
国家自然科学基金项目(30970128
31170305)资助
