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Entity and relation extraction with rule-guided dictionary as domain knowledge

《工程管理前沿（英文）》页码 610-622 doi: 10.1007/s42524-022-0226-0

摘要： Entity and relation extraction is an indispensable part of domain knowledge graph construction, which can serve relevant knowledge needs in a specific domain, such as providing support for product research, sales, risk control, and domain hotspot analysis. The existing entity and relation extraction methods that depend on pretrained models have shown promising performance on open datasets. However, the performance of these methods degrades when they face domain-specific datasets. Entity extraction models treat characters as basic semantic units while ignoring known character dependency in specific domains. Relation extraction is based on the hypothesis that the relations hidden in sentences are unified, thereby neglecting that relations may be diverse in different entity tuples. To address the problems above, this paper first introduced prior knowledge composed of domain dictionaries to enhance characters’ dependence. Second, domain rules were built to eliminate noise in entity relations and promote potential entity relation extraction. Finally, experiments were designed to verify the effectiveness of our proposed methods. Experimental results on two domains, including laser industry and unmanned ship, showed the superiority of our methods. The F1 value on laser industry entity, unmanned ship entity, laser industry relation, and unmanned ship relation datasets is improved by +1%, +6%, +2%, and +1%, respectively. In addition, the extraction accuracy of entity relation triplet reaches 83% and 76% on laser industry entity pair and unmanned ship entity pair datasets, respectively.

关键词： entity extraction relation extraction prior knowledge domain rule

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The prior rules of designing Ti

Yingying Jian, Danyao Qu, Lihao Guo, Yujin Zhu, Chen Su, Huanran Feng, Guangjian Zhang, Jia Zhang, Weiwei Wu, Ming-Shui Yao

《化学科学与工程前沿（英文）》 2021年第15卷第3期页码 505-517 doi: 10.1007/s11705-020-2013-y

摘要： Working temperature, sensitivity, and selectivity are some of the characteristics of the applied gas sensors. How to design and fabricate an ideal gas sensor working at room temperature is still challenging and attracting lots of interest. Two-dimensional (2D) materials with ultra-thin structure have been demonstrated as a family of ideal candidates to achieve this goal. Among them, Ti C T MXene, a kind of layered sheet synthesized by selectively etching MAX phases materials, shows remarkable potential to be the sensitive materials solely or in a composite. However, their designing rules are still lacking critical thinking from the viewpoint of the intrinsic property of Ti C T MXene based materials. In this article, two critical features, i.e., the thickness of the sensitive materials, and the scope of the analytes, are elaborated towards Ti C T MXene based gas sensors after characterizing the performance of sensing reducing gases (NH and CO) and oxidizing gas (NO ). First, the thinner the Ti C T MXene sensitive layer, the better the sensitivity. Second, the Ti C T MXene based gas sensor is not suitable for strong and moderate oxidation gas due to its ease of oxidation. These two rules are demonstrated, and could be considered with priority both in the future researches and practical applications.

关键词： MXene based sensor prior reducing gases oxidizing gases

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Host protection against Omicron BA.2.2 sublineages by prior vaccination in spring 2022 COVID-19 outbreak

《医学前沿（英文）》 2023年第17卷第3期页码 562-575 doi: 10.1007/s11684-022-0977-3

摘要： The Omicron family of SARS-CoV-2 variants are currently driving the COVID-19 pandemic. Here we analyzed the clinical laboratory test results of 9911 Omicron BA.2.2 sublineages-infected symptomatic patients without earlier infection histories during a SARS-CoV-2 outbreak in Shanghai in spring 2022. Compared to an earlier patient cohort infected by SARS-CoV-2 prototype strains in 2020, BA.2.2 infection led to distinct fluctuations of pathophysiological markers in the peripheral blood. In particular, severe/critical cases of COVID-19 post BA.2.2 infection were associated with less pro-inflammatory macrophage activation and stronger interferon alpha response in the bronchoalveolar microenvironment. Importantly, the abnormal biomarkers were significantly subdued in individuals who had been immunized by 2 or 3 doses of SARS-CoV-2 prototype-inactivated vaccines, supporting the estimation of an overall 96.02% of protection rate against severe/critical disease in the 4854 cases in our BA.2.2 patient cohort with traceable vaccination records. Furthermore, even though age was a critical risk factor of the severity of COVID-19 post BA.2.2 infection, vaccination-elicited protection against severe/critical COVID-19 reached 90.15% in patients aged ≥ 60 years old. Together, our study delineates the pathophysiological features of Omicron BA.2.2 sublineages and demonstrates significant protection conferred by prior prototype-based inactivated vaccines.

关键词： SARS-CoV-2 COVID-19 host response bronchoalveolar lavage fluid (BALF)

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Standard model of knowledge representation

Wensheng YIN

《机械工程前沿（英文）》 2016年第11卷第3期页码 275-288 doi: 10.1007/s11465-016-0372-3

摘要：

Knowledge representation is the core of artificial intelligence research. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representation model is necessary. According to ontology, system theory, and control theory, a standard model of knowledge representation that reflects the change of the objective world is proposed. The model is composed of input, processing, and output. This knowledge representation method is not a contradiction to the traditional knowledge representation method. It can express knowledge in terms of multivariate and multidimensional. It can also express process knowledge, and at the same time, it has a strong ability to solve problems. In addition, the standard model of knowledge representation provides a way to solve problems of non-precision and inconsistent knowledge.

关键词： knowledge representation standard model ontology system theory control theory multidimensional representation

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知识论框架通向信息-知识-智能统一的理论

钟义信

《中国工程科学》 2000年第2卷第9期页码 50-64

摘要：

知识是人类所创造的宝贵财富，但至今没有形成系统的知识理论。文章旨在提出和建立知识论的框架体系，包括它的基础和主体两部分。基础部分主要给出知识的概念、定义、表示、度量、推理和决策规则；主体部分的核心是阐明由信息提炼知识（知识生成）以及由知识形成智能（知识激活）的机理。知识论的建立将为信息论-知识论-智能论的统一理论奠定坚实的基础，促进人们在更高的水平上利用信息和知识，研究、设计和应用各种智能机器，推动经济和社会的发展。

关键词：知识知识量知识生成知识激活信息-知识-智能的统一理论

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Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

《工程管理前沿（英文）》 2016年第3卷第2期页码 136-143 doi: 10.15302/J-FEM-2016030

摘要： In this paper, an application mode and method of knowledge management in remanufacturing engineering management is established based on Nonaka’s SECI model. The relationships between knowledge transfer, knowledge sharing and remanufacturing engineering management are highlighted. It is noticeable that a great deal of knowledge transfer and sharing activities, which can improve the performance of remanufacturing engineering management constantly, are involved in remanufacturing engineering.

关键词： remanufacturing engineering management knowledge transfer and sharing knowledge management

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perspectives and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge

《环境科学与工程前沿（英文）》 2022年第16卷第6期 doi: 10.1007/s11783-021-1507-2

摘要：

• The overall global perspective of the PHMCS field was obtained.

关键词： Heavy metal-contaminated soil Hot topics Knowledge mapping analysis Knowledge base Phytoremediation

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知识管理系统的运用与深化

李华

《中国工程科学》 2011年第13卷第8期页码 87-93

摘要：

在知识经济时代，企业已经开始认识到最宝贵的资产是知识，知识不但是生产的关键要素，而且还是企业保持持续竞争优势的重要手段。企业知识管理系统的有效实施，要在正确的思想指导下，建立适于知识共享的组织结构和企业文化，在理解和实施知识管理时必须坚持积累、信任、共享、交流、学习五项原则。知识管理的目标是实现组织总体发展战略，因此知识共享的过程也必须以实现组织战略目标为前提，重视对共享知识的甄选，建立知识共享平台和存储管理单元，引导知识交流，实施奖励政策。

关键词：知识管理知识共享知识论坛

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大数据知识工程发展现状及展望

郑庆华,刘欢,龚铁梁,张玲玲,刘均

《中国工程科学》 2023年第25卷第2期页码 208-220 doi: 10.15302/J-SSCAE-2023.02.018

摘要：

大数据知识工程是人工智能的“基础设施”、诸多行业和领域面临的共性需求、信息化迈向智能化的必由之路。本文阐述了大数据知识工程产生的背景与概念内涵，提出了“数据知识化、知识体系化、知识可推理”的研究框架；梳理了知识获取与融合、知识表征、知识推理等大数据知识工程关键技术和智慧教育、税务风险管控、智慧医疗等典型场景中的工程应用；总结了大数据知识工程面临的挑战，研判了大数据知识工程的未来研究方向，包括复杂大数据知识获取、知识+数据混合学习、脑启发知识编码记忆等。研究建议，引导多学科交叉融合，设立重大和重点研发专项，推动大数据知识工程基础理论与技术攻关；加强企业和研究机构间交流合作，推广前沿研究成果并形成应用示范，建立大数据知识工程行业标准体系；以重大需求应用为导向，探索校企协同育人模式，加快大数据知识工程技术在重要行业的落地应用。

关键词：大数据知识工程知识获取知识融合知识表征知识推理

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Linking elements to outcomes of knowledge transfer in the project environment: Current review and future

《工程管理前沿（英文）》 2022年第9卷第2期页码 221-238 doi: 10.1007/s42524-022-0195-3

摘要： A project is a specific effort to create a unique product, so it is a favorable place for knowledge creation and development. Knowledge can be transferred inside and outside projects and their parent project-based organizations, thus affecting project performance and organizational competitiveness. However, the current research on the elements and outcomes of knowledge transfer (KT) in the project environment lacks completeness and clarity, and that on the different levels of KT is fragmented. This study aims to conduct comprehensive research to determine and link the elements and outcomes of KT in the project environment. The authors systematically analyzed the relevant literature from 2000 to 2021, which showed an increasing publication trend. They divided KT in the project environment into three levels according to the transfer scenario: Intra-project, cross-project, and cross-organizational KT. Five-dimensional transfer elements and two-dimensional transfer outcomes were then identified and analyzed from previous literature. Lastly, the relationships between the transfer elements and outcomes were gathered to create a comprehensive model. Importantly, the knowledge gap in the current literature was highlighted, and future research directions were put forward. This study builds a theoretical framework linking transfer elements to outcomes that can serve as a basis for scholars and practitioners to develop effective strategies for KT in the project environment.

关键词： knowledge transfer knowledge management project management project environment literature review

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Risk aspects of knowledge management

David OLSON

《工程管理前沿（英文）》 2020年第7卷第2期页码 301-303 doi: 10.1007/s42524-019-0087-3

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创建知识系统工程学科

王众托

《中国工程科学》 2006年第8卷第12期页码 1-9

摘要：

介绍了如何在钱学森的系统科学与思维科学思想的启发和指引下，创建知识系统工程学科，知识系统工程的任务与内涵，知识系统的组成要素和功能；提出了知识系统的组织、人员、技术、经营和文化的体系结构；分析了知识系统的运作过程；特别对创新过程中知识的集成、转化与新知识的生成提出了一些新的观点。

关键词：知识管理系统工程知识系统工程创新知识集成

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Protecting traditional knowledge of Chinese medicine: concepts and proposals

Changhua Liu, Man Gu

《医学前沿（英文）》 2011年第5卷第2期页码 212-218 doi: 10.1007/s11684-011-0142-x

摘要： With the development of the knowledge economy, knowledge has become one of the most important resources for social progress and economic development. Some countries have proposed measures for the protection of their own traditional knowledge. Traditional Chinese medicine belongs to the category of intangible cultural heritage because it is an important part of Chinese cultural heritage. Today the value of traditional knowledge of Chinese medicine has been widely recognized by the domestic and international public. This paper discusses the definition of traditional knowledge of Chinese medicine and its protection, and evaluates research on its classification. We review the present status of the protection of traditional knowledge of Chinese medicine and tentatively put forward some possible ideas and methods for the protection of traditional knowledge of Chinese medicine. Our goal is to find a way to strengthen the vitality of traditional Chinese medicine and consolidate its foundation. We believe that if we could establish a suitable ( is a Latin term meaning “of its own kind” and is often used in discussions about protecting the rights of indigenous peoples. Here we use it to emphasize the fact that protection of traditional knowledge of Chinese medicine cannot be achieved through existing legal means of protection alone due to its unique characteristics) system for traditional knowledge, a more favorable environment for the preservation and development of traditional Chinese medicine will ultimately be created.

关键词： protection of traditional knowledge traditional Chinese medicine intellectual property sui generis system

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New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

《工程管理前沿（英文）》 2020年第7卷第2期页码 238-247 doi: 10.1007/s42524-019-0062-z

摘要： The increasing importance of technology foresight has simultaneously raised the significance of methods that determine crucial areas and technologies. However, qualitative and quantitative methods have shortcomings. The former involve high costs and many limitations, while the latter lack expert experience. Intelligent knowledge management emphasizes human–machine integration, which combines the advantages of expert experience and data mining. Thus, we proposed a new technology foresight method based on intelligent knowledge management. This method constructs a technological online platform to increase the number of participating experts. A secondary mining is performed on the results of patent analysis and bibliometrics. Thus, forward-looking, innovative, and disruptive areas and relevant experts must be discovered through the following comprehensive process: Topic acquisition → topic delivery → topic monitoring → topic guidance → topic reclamation → topic sorting → topic evolution → topic conforming → expert recommendation.

关键词： technology foresight intelligent knowledge management technological online platform