Individualized knowledge active pushing method based on task decomposition

Abstract

The invention provides an individualized knowledge active pushing method based on task decomposition, and relates to a knowledge-intensive enterprise knowledge resource management and application method. The individualized knowledge active pushing method includes the steps of establishment of a task activity model in the design process, establishment of a knowledge demand model based on domain ontology, establishment of user characteristic modeling and individualized knowledge active pushing. Task decomposition is conducted through a workflow engine, and a work service process is associated with knowledge; concept expansion is conducted through a concept semantic three-level expansion method; a knowledge filtering and sorting method is provided, and then individualized knowledge active pushing based on task decomposition is achieved. Knowledge demands as detailed as possible can be acquired, a complete and abundant knowledge demand set is formed, individualized knowledge active pushing can be conducted in accordance with user preference, knowledge flow is accelerated through knowledge pushing, the effectiveness and the service efficiency of the knowledge are improved, the goal that the knowledge stems from services and is applied to the services is truly achieved, and therefore enterprise knowledge utilization efficiency and knowledge innovation capacity are improved.

Description

technical field [0001] The invention relates to the field of computer application technology, to a knowledge-intensive enterprise knowledge resource management and application method, and in particular to a task decomposition-based personalized knowledge active push method. Background technique [0002] In the management activities of modern enterprises, especially the emerging knowledge-intensive enterprises, knowledge has become an important enterprise resource, and has gradually become a key factor that determines the survival and development of enterprises (reference [1] Liu Xinyu. Process-based knowledge Push system theoretical framework and application research [D]. Shenyang: Northeastern University doctoral dissertation. 2005). Therefore, how to effectively manage the knowledge of the enterprise, increase the knowledge reserve of the enterprise through various ways, and make reasonable use of knowledge resources will become a major problem faced by the enterprise. Mo...

AI Technical Summary

Problems solved by technology

[0004] Problems based on existing technologies: knowledge push technology based on business processes is needed to assist the work to be completed better, the source of knowledge push is not vigorous enough, and there is a large amount of semantic heterogeneous knowledge, and there are difficulties in direct application, etc.

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