GPKRS: A GPU-Enhanced Product Knowledge Retrieval System

2021 ◽  
pp. 446-451
Author(s):  
Yuming Lin ◽  
Hao Song ◽  
Chuangxin Fang ◽  
You Li
Keyword(s):  
Retrieval System ◽  
Product Knowledge ◽  
Knowledge Retrieval

Intelligent Subject and Knowledge Retrieval Algorithm Based on Ontology

2014 ◽  
Vol 687-691 ◽  
pp. 1452-1456
Author(s):  
Ting Ting Liang
Keyword(s):  
Retrieval System ◽  
Concept Map ◽  
Retrieval Algorithm ◽  
Knowledge Retrieval ◽  
Retrieval Process ◽  
Matching Method ◽  
Interactive Genetic Algorithm ◽  
Application Model ◽  
Matching Efficiency ◽  
High Intelligence

For the problems of obscure demand of users, insufficiency and difficulty in correct acquisition in the process of knowledge retrieval, this paper combines with basic theory of interactive genetic algorithm to discuss its application model in the process of requirement and acquisition of knowledge retrieval. And then, it uses the interactive information produced in the retrieval process to make improvement on matching method based on concept map. It uses the interactive information produced in the retrieval process to calculate weight of users to search concept, which enhances the knowledge matching efficiency of concept map. Through test, it compares that intelligent knowledge retrieval system based on ontology has double advantages with high intelligence and efficiency.

Intelligent Science of Knowledge Retrieval System Model Based on Ontology

2014 ◽  
Vol 707 ◽  
pp. 441-444
Author(s):  
Ting Ting Liang ◽  
Chun Qing Li
Keyword(s):  
Information Retrieval ◽  
Detailed Analysis ◽  
Explicit Knowledge ◽  
Retrieval System ◽  
System Model ◽  
Knowledge Retrieval ◽  
Subject Knowledge ◽  
Retrieval Efficiency ◽  
Implicit And Explicit ◽  
Knowledge Ontology

Compared with the traditional information retrieval, knowledge retrieval based on ontology has higher retrieval efficiency. In order to adequate arena for the effectiveness of knowledge,and intelligence to meet the users on the implicit and explicit knowledge retrieval demand, the author designed a system model of intelligent science based on ontology. Detailed analysis and elaboration of the three aspects: subject knowledge ontology construction, ontology knowledge retrieval, service based on intelligent. Provide methodological guidance and technical support to enrich the research contents in the field of knowledge retrieval.

scholarly journals Manufacturing Technology Knowledge Retrieval System Based on OSE and UCF

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 39623-39638
Author(s):  
Linyan Liu ◽  
Tangxiao Yuan ◽  
Haojie Song ◽  
Huifen Wang
Keyword(s):  
Retrieval System ◽  
Manufacturing Technology ◽  
Knowledge Retrieval ◽  
Technology Knowledge

User profiling for the melvil knowledge retrieval system

2002 ◽  
Vol 16 (4) ◽  
pp. 243-281 ◽  
Author(s):  
Johannes Fürnkranz ◽  
Christian Holzbaur ◽  
Robert Temel
Keyword(s):  
Retrieval System ◽  
User Profiling ◽  
Knowledge Retrieval

Ontology-based construction knowledge retrieval system

2013 ◽  
Vol 17 (7) ◽  
pp. 1654-1663 ◽  
Author(s):  
Moonseo Park ◽  
Kyung-won Lee ◽  
Hyun-soo Lee ◽  
Pan Jiayi ◽  
Jungho Yu
Keyword(s):  
Retrieval System ◽  
Knowledge Retrieval ◽  
Construction Knowledge

A Formal Knowledge Retrieval System for Cognitive Computers and Cognitive Robotics

2013 ◽  
Vol 5 (2) ◽  
pp. 37-57 ◽  
Author(s):  
Yingxu Wang ◽  
Yousheng Tian
Keyword(s):  
Knowledge Base ◽  
Retrieval System ◽  
Cognitive Learning ◽  
Knowledge Bases ◽  
Cognitive Robotics ◽  
Process Models ◽  
Knowledge Retrieval ◽  
Formal Knowledge ◽  
Functional Models ◽  
Cognitive Robots

Intelligent knowledge base theories and technologies are fundamentally centric in machine learning and cognitive robotics. This paper presents the design of a formal knowledge retrieval system (FKTS) for intelligent knowledge base modeling and manipulations based on concept algebra. In order to rigorously design and implement FKTS, real-time process algebra (RTPA) is adopted to formally describe the architectures and behaviors of FKTS. The architectural model of FKTS in the form of a set of unified structure models (USMs) is rigorously described. On the basis of USMs, functional models of FKTS are hierarchically refined by a set of unified process models (UPMs). The UPMs of FFTS are divided into two subsystems known as those of the knowledge visualization and knowledge base retrieval subsystems where the content-addressed searching mechanism is implemented in knowledge bases manipulations. The FKTS system is design and implemented as a part of the cognitive learning engine (CLE) for cognitive computers and cognitive robots.

The Design of the Emergency Retrieval System Based on User Preference

2012 ◽  
Vol 157-158 ◽  
pp. 882-886
Author(s):  
Wei Dong Huang ◽  
Min Qian Li ◽  
Ji Dong Yang
Keyword(s):  
Search Engines ◽  
Domain Knowledge ◽  
Retrieval System ◽  
Frame Structure ◽  
User Preference ◽  
Knowledge Retrieval ◽  
The Core ◽  
Operation Process ◽  
Function Module

From the perspective of knowledge retrieval and knowledge push, this paper introduces user preference based on the traditional search engines to meet the personalization demand of the domain knowledge of emergency. A retrieval system aiming at the emergency knowledge is designed by constructing the preference-based function module, setting the frame structure of user preference and improving the core operation process of the system.

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