A Semantic Query Engine for Structured Databases

Abstract

The invention discloses a semantic query engine for a structured database. The semantic query engine obtains unprocessed data from one or more different data sources, and uses the data processing device to process the unprocessed data according to the requirements of the application program. The processed data is stored in a data repository where the processed data is stored in one or more models to form data entities. The shared global data model created based on ontology provides ontology entities. Mapping between ontology entities and data entities. The processed data model in the data repository, the shared global data model, and the mapping relationship between the data entities in the data repository and the ontology entities in the shared global data model are all described by metadata.

Description

technical field [0001] The present invention relates to search technology, and more specifically, relates to a technology capable of performing fuzzy search in structured databases. Background technique [0002] The Web or other data feeds are by far the largest source of data. Data used on the Web is often unstructured or semi-structured. Unstructured or semi-structured data is conducive to data presentation and human reading and understanding, but it is not conducive to data search and processing. The organization of unstructured or semi-structured data is closer to the human way of thinking, and it is related through "semantics", so it is very convenient for humans to read and understand. But for a machine such as a computer, data associated with "semantics" becomes difficult to process. The way computers process data is in accordance with strict data formats and data structures, which cannot be understood by "semantic" computers. [0003] Structured data is more suit...

AI Technical Summary

Problems solved by technology

[0004] But on the network, even structured data will encounter many difficulties in processing

Due to the different data formats used by each structured database, it is still impossible to find a unified data format when searching on the entire network, which greatly reduces the search effect

If you want to achieve efficient search on the entire network, you must conduct in-depth research on the data structure of each structured database and unify the data format, which is obviously a very time-consuming and difficult task.

Images