A Knowledge-Based Computational Environment for Real-World Data Processing

摘要

The data contains knowledge. Researchers working in various fields are struggling to extract information from specific data sets. But data processing is a complex process. Real-world data must be converted multiple times to become useful knowledge. This process is very unfriendly to non-computer professional researchers. The lack of knowledge related to data processing makes their work unsatisfactory. The main purpose of this paper is to build a computational environment based on ontology technology, which provides selection and description of data processing algorithms to help the users extract information from the real-world data. This article provides a real case to indicate the rationality of this computational environment. The authors extracted significant conclusions from a data set of the acid-base state at patients.