Concept alignment and content inter-translation method and system between multi-source heterogeneous databases
A database and concept technology, applied in neural learning methods, medical data mining, electrical digital data processing, etc., can solve the problems of automatic mapping affected by noise, exponential increase in workload, poor scalability of manual mapping, etc., to achieve robustness The effect of automatic concept alignment and content translation, low data dependency, and high intelligence level
Active Publication Date: 2021-11-26
XI AN JIAOTONG UNIV
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Problems solved by technology
Manual mapping has poor scalability, and the workload increases exponentially; automatic mapping is seriously affected by noise, requiring a lot of manual labeling, and has not been adopted by the industry
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[0042] The present invention will be described in detail below in conjunction with the accompanying drawings.
[0043] The data in the present invention refers to: multi-source heterogeneous data among multiple medical institutions; ontology refers to: an ontology is a clear specification of a conceptual model, which can represent commonly recognized and shareable knowledge. Concept alignment and content translation between multi-source heterogeneous databases based on data-driven
[0044] Obtain the basic information of the database to be processed, and judge the defect type of the database to be processed according to the basic information; the defect type includes unknown data dictionary, incomplete, unreliable or contradictory data dictionary in the database, and simultaneous database dictionary and data exist and each has its flaws.
[0045] refer to figure 1 , there are structured and unstructured data in multi-source heterogeneous medical databases; as an example, for...
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The invention discloses a concept alignment and content inter-translation method and system between multi-source heterogeneous databases. The method comprises the steps: employing a data-driven concept alignment and content inter-translation method for a database with an unknown data dictionary, and employing the uncertain function mapping relation mining to achieve the concept alignment and content inter-translation between the databases; for heterogeneous databases with incomplete, unreliable or contradictory dictionaries, a concept alignment and content inter-translation method based on ontology driving is adopted; under the view of solving the determination problem of graph isomorphism, realizing graph isomorphism determination by adopting an unsupervised graph representation learning method; for databases which have both dictionaries and data and have defects, concept alignment and content inter-translation are realized by means of a cross-view domain knowledge graph by adopting a concept alignment and content inter-translation method based on data and ontology dual drive; by cooperatively mining the mapping relation between the data and the ontology in multiple systems, accurate, efficient, robust and low-data-dependency alignment inter-translation is realized.
Description
technical field [0001] The invention belongs to the technical field of big data processing and multi-source data fusion, and specifically relates to a method and system for concept alignment and content mutual translation among multi-source heterogeneous databases. Background technique [0002] At present, many information systems in medical institutions have problems such as unknown, incomplete, unreliable or contradictory data structures and dictionaries, unclear data associations between systems, and inconsistent system value range standards. At the regional medical level, these problems are more serious, and the development of point-to-point interfaces between institutions (concept alignment and content translation) is not feasible for large-scale promotion. In order to realize the interoperability between multi-source heterogeneous multi-databases, in recent years, many scholars have proposed to use ontology (metadata) as an intermediary for data integration to solve se...
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Login to View More IPC IPC(8): G16H70/20G16H50/70G06F16/36G06F40/253G06F40/30G06K9/62G06N3/04G06N3/08
CPCG16H70/20G16H50/70G06F16/367G06F16/374G06F40/30G06F40/253G06N3/088G06N3/045G06F18/23
Inventor 徐颂华代笃伟李宗芳徐宗本
Owner XI AN JIAOTONG UNIV