Ontological semantic extension and collaborative filter weighting fused process knowledge retrieval method

Abstract

The invention discloses an ontological semantic extension and collaborative filtering weight-fused process knowledge retrieval method. According to the method, weighted fusion is carried out on ontological semantic extension and vector space model-based knowledge matching method and a user attribute collaborative filtering matching method, and finally user personalized retrieval results accordingwith real retrieval intentions of users are obtained through forgetting curve-based weight control. According to the method, advantages of ontological knowledge retrieval and collaborative filtering are combined, dynamic and static attributes of users are sufficiently considered, and related information is integrated, so that retrieval results which more accord with user retrieval requirements andhave user personalization can be obtained and then sharing and reusing of war industry knowledges are improved.

Description

Technical field [0001] The invention relates to the field of military product design and manufacturing, in particular to a military process knowledge retrieval method based on the semantic expansion of military process knowledge ontology and collaborative filtering and weighted fusion of user dynamic and static attributes. Background technique [0002] Knowledge retrieval is the introduction of semantic ontology technology into the information retrieval mechanism, so that the retrieval system can perform semantic analysis on query requests and information sources. Knowledge retrieval is different from ordinary information retrieval, which emphasizes the importance of semantics, not just based on literal mechanical matching. Starting from the semantics and concepts of knowledge information, it fully reveals the inner meaning of knowledge information, and improves the recall and accuracy of knowledge retrieval. At present, domestic knowledge retrieval schemes with a strong focus o...

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Problems solved by technology

The existing process knowledge management system is mainly oriented to enterprise management, which is transactional business knowledge management, and it is difficult to support the complex product design process of military industry

At present, some design research institutes (institutes) have implemented Product Data Management (PDM) systems to manage the process data generated in the process of military product design, but they have not implemented process knowledge (including design descriptions, design methods, and design experience). etc.) for proper organization and reuse; and the retrieval method is single, and its rigid database relationship makes it difficult for designers to quickly and accurately find the required design documents, let alone use the process knowledge contained in these documents to support design and manufacturing work

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