Dynamic hierarchical integrated data accessing method capable of guaranteeing semantic correctness

Abstract

The invention discloses a dynamic hierarchical integrated data accessing method capable of guaranteeing semantic correctness and aims to solve the problem about how to provide data access with completely correct semantics under condition of integration of large-scale relation databases. The technical scheme includes that the dynamic hierarchical integrated data accessing method includes firstly, expanding to obtain a description logic subset DL-Lite, then layering the ontology TBox on the basis of the description logics, and establishing LAV (local as view) mapping and O-GAV (object-global as view) mapping between the relation database and the ontology; expanding and rewriting query request by means of SuperRef algorithm according to the T<Q> in layering of the TBox, and establishing a dynamic ABox A<Q> according to query results; and finally, refining the ABox A<Q>, and feeding back query response results. The dynamic hierarchical integrated data accessing method can provide data with the completely correct semantics for users and meet the requirement for correctness of the semantics in integrated data access. Further, calculating complexity can be reduced and expanding, query and rewriting efficiency can be improved.

Description

technical field [0001] The invention relates to an integrated data access method in the field of data engineering. Background technique [0002] Data is one of the key elements driving the business development of modern enterprises, and maximizing the business value of data assets is one of the primary goals of contemporary enterprises. However, although enterprise data assets are increasing year by year, the current ability and means of utilizing information are still relatively backward, and the problem of information overloading (Information Overloading) has increasingly become a problem that plagues people. The root cause of this problem is that people ignore top-level planning and design in the process of information system construction, resulting in extremely complex existing data environments and extremely difficult comprehensive utilization of data. Therefore, the investment of enterprises and scientific research institutions in data integration and access has begun...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this approach is that the semantic conflicts in the integrated environment cannot be controlled during the access process, and it depends entirely on the performance of the underlying data federation tools, which will affect the efficiency and semantic correctness of data access

[0015] To sum up, although ontology-based integrated data access technology has been developed and accumulated for many years, there are still many bottlenecks that have not been resolved.

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