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

A technique of process knowledge and semantic expansion, applied in the field of military product design and manufacturing, can solve the problems of difficult design documents for designers, difficult military complex product design process, single retrieval method, etc.

Active Publication Date: 2018-04-06
NANJING UNIV OF SCI & TECH
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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

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

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Embodiment Construction

[0062] The technology knowledge retrieval method of the ontology semantic expansion and collaborative filtering weighted fusion of the present invention is aimed at different types of military technology knowledge items and different knowledge use objects. In order to improve the accuracy of knowledge retrieval results and user relevance, this method uses ontology Semantic expansion and collaborative filtering methods based on user dynamic and static attributes obtain two sets of retrieval results, and then according to a certain weight distribution system, and based on the principle of forgetting curve, the two sets of retrieval results are merged into a set of final retrieval results.

[0063] The present invention will be further described below in conjunction with the drawings.

[0064] Combine Figure 1-6 , The present invention performs weighted fusion with the knowledge matching method based on the semantic expansion of the ontology and the vector space model with the knowled...

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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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Application Information

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IPC IPC(8): G06F17/30G06F17/50G06F17/27
CPCG06F16/3344G06F40/30G06F30/00
Inventor 刘庭煜宋豪杰曹强汪惠芬徐骏善
Owner NANJING UNIV OF SCI & TECH
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