Device and method for inquiring knowledge

Abstract

The invention discloses a device and a method for inquiring knowledge. The device comprises a domain knowledge database, a data extracting preprocessing module, a parallel data mining module, an inquiring engine module and a storage and computing module, the storage and computing module comprises a plurality of parallel storage and computing nodes, the data extracting preprocessing module, the parallel data mining module and the inquiring engine module are respectively connected with the domain knowledge database and the storage and computing module. The concept of KaaS (knowledge as a service) is proposed in the classificatory level of cloud computing services, and concepts analyzed from data sources and mined overall rules are updated into the domain knowledge database so as to provide semantic inquiry and knowledge services to the client side conveniently.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, in particular, to a knowledge query device and method. Background technique [0002] The large amount of data on the Internet, distributed storage, heterogeneity and unstructured make the search space of Web data mining increase, the dimensionality is high, and the blindness of discovering knowledge becomes higher. If the semantic information of the data is used, the data can be screened effectively, the dimensionality can be reduced, and the data quality can be improved. [0003] Traditional data mining methods are based on propositional logic and single-table structure, and their description ability is weak, so they cannot deal with Web resources represented by Resource Description Framework (RDF) triples. The method based on Inductive Logic Programming (ILP) has been widely researched and applied in recent years. On the one hand, it can effectively deal with multi-relational d...

AI Technical Summary

Problems solved by technology

After the popularization of SaaS applications, on the one hand, a large amount of managed data has been accumulated in the cloud, and these data cannot be effectively mined and utilized; on the other hand, because SaaS applications are oriented to professional markets and specific fields, information islands are formed between SaaS applications, and the semantics cannot be guaranteed. Consistency, unable to achieve effective information sharing

[0007] In addition, SaaS application and Internet application data cannot be effectively mined and utilized at present, so it is impossible to provide users with semantic query and knowledge services

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