Project

2021 Data, Information, Knowledge and Wisdom Conference (DIKW 2021)

Goal: 2021 Data, Information, Knowledge and Wisdom Conference (DIKW 2021) aims to bring together scientists, researchers, and industrial engineers to discuss and exchange experimental and theoretical results, novel designs, work-in-progress and case studies on theories, design mechanisms and extensions on Data, Information, Knowledge and Wisdom interactions in all areas, in all phases, empirical or theoretical solutions. We hope you will join us for the great gathering of outstanding science, engineering, and technology, and look forwards to seeing you in the beautiful tropical city Haikou! Website: http://www.ieee-cybermatics.org/2021/dikw/

Date: 17 December 2021 - 19 December 2021

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Yucong Duan
added 18 research items
Uncertainty Processing: What is Objectification of Subjective Content AND Why we need the Transformation from Subjective to Objective? (不确定性处理:什么是"主观客观化"?为什么需要从主观到客观的转化?) 基于"主观客观化"的不确定性处理相关学术背景、创新点及其研究价值和科学意义
Based on our previous report on that prime integers are the essential basis of natural numbers and our revelation on the composition models of superficial concepts of even integers, etc, we further propose in this work the promises of reconstructing computation and reasoning at objective semantic level comprising the pure or isolated semantics such as primes.
Firstly this article presents a thorough discussion of semantics formalization related issues in model driven engineering (MDE). Then motivated for the purpose of software implementation, and attempts to overcome the shortcomings of incompleteness and context-sensitivity in the existing models, we propose to study formalization of semantics from a cognitive background. Issues under study cover the broad scope of overlap vs. incomplete vs. complete, closed world assumption (CWA) vs. open world assumption (OWA), Y(Yes)/N(No) vs. T(True)/F(False), subjective (SUBJ) vs. objective (OBJ), static vs. dynamic, unconsciousness vs. conscious, human vs. machine aspects, and so forth. A semantics formalization approach called EID-SCE (Existence Identification Dualism-Semantics Cosmos Explosion) is designed to meet both the theoretical investigation and implementation of the proposed formalization goals. EID-SCE supports the measure/evaluation in a {complete, no overlap} manner whether a given concept or feature is an improvement. Some elementary cases are also shown to demonstrate the feasibility of EID-SCE.
Ejub Kajan
added a research item
We have never been so connected like nowadays. We have become more and more social by forming spontaneous relations and initiating interactions to share information with each other (even with strangers). In this keynote speech, we highlight the evolution of knowledge engineering, point out social systems’ characteristics, and then, discuss how these characteristics could impact knowledge engineering. Indeed, we expect that social systems’ characteristics will make knowledge engineering adjust to tackle the social era’s challenges. Existing knowledge engineering models, practices, techniques, and languages need to be revisited and social systems’ complexity needs to be mastered with new and advanced knowledge engineering models, practices, techniques, and languages for a better appreciation of knowledge in the social era.
Yucong Duan
added a research item
This book discusses recent research and applications about intelligent processing practices and tools for e-commerce data, information and knowledge. The authors first explain how advances in intelligent processing of data, information and knowledge that has wildly been used in e-commerce applications. They then show how this brings new opportunities and challenges for processing e-commerce data, information and knowledge. The book, made up of contributions from both academia and industry, aims to present advances in artificial intelligence to collect, process, and mining Data, information and knowledge, such as new algorithms and techniques in the field, foundational theory and systems, as well as practical e-commerce applications. Some of the topics discussed include AI for e-commerce, such as machine learning, deep learning; personalized service recommendation to e-commerce; modeling, description, and verification for data, information and knowledge; and task scheduling and performance optimization for large-scale concurrency. • Presents recent research and applications in intelligent processing practices and tools for e-commerce data, information and knowledge; • Includes topics such as knowledge modeling and reasoning for e-commerce, AI based e-commerce data mining, and blockchain for safety and reliability; • Provide a forum for experts to disseminate their recent advances and views on future perspectives in the field.
Yucong Duan
added 2 research items
we believe that subjective semantics is objectively arranged. We'd like to explore a little bit on the usually viewed subjective math from a cognitive perspective in the semantic space. We reveal our intuition and lay the basis of our proposed definitions of: Semantic Computation and Reasoning Comprising Existence Computation and Reasoning, Essence Computation and Reasoning, Purpose Computation and Reasoning towards Resolution of Conceptual Computation and Reasoning.
From a cognitive perspective in the semantic space, we proposed the revelation of the semantics of Collatz Conjecture or the 3x+1 Problem based on our proposed Existence Computation and Reasoning(EXCR) and Essence Computation and Reasoning(ESCR) mechanism following our previous revelation of the semantics axioms of Conservation of Existence Set Axiom (CEX , Consistency of Compounded Essential Set Axiom (CES) and Inheritance of Existence Semantics Axiom (IHES ).
Yucong Duan
added 2 research items
From a cognitive perspective in the semantic space, we proposed the revelation of the semantics of the Goldbach's conjecture based on our proposed Existence Computation and Reasoning(EXCR) and Essence Computation and Reasoning(ESCR) mechanism following our previous revelation of the semantics axioms of Conservation of Existence Set (CEX) and Consistency of Compounded Essential Set (CES).
From a cognitive perspective in the semantic space, we proposed the revelation of the semantics of the Four Color Theorem based on our proposed Existence Computation and Reasoning(EXCR) and Essence Computation and Reasoning(ESCR) mechanism following our previous revelation of the semantics of point, line and plane.
Yucong Duan
added 2 research items
From a cognitive perspective in the semantic space, we proposed the revelation of the semantics of point, line and plane based on our proposed Existence Computation and Reasoning(EXCR) and Essence Computation and Reasoning(ESCR) mechanism.
Semantic Computation and Reasoning Comprising Existence Computation and Reasoning, Essence Computation and Reasoning, Purpose Computation and Reasoning towards Resolution of Conceptual Computation and Reasoning
Yucong Duan
added a research item
This work is motivated by the hypothesis that ideas of the Four Color Problem (FCP) could contain important implications on semantics identification in terms of the necessary and sufficient amounts of elements and contents inside a paradigm and among paradigms from ontology creation to model objects/relationships introduction/definition. Semantics ideas of EID-SCE are adopted for the semantics revelation on FCP. The key ideas include reduction based on the equal/“=” relationship for identification and existence. The revelation is extended towards covering all necessary situations at all possible stages in a constructive manner. The work aims to be part of introduction of mathematical achievement to software modeling practices. It is initially extended towards modeling applications. The result is expected to be beneficial to efforts of gaining improvement on reusability and efficiency.
Ejub Kajan
added an update
Invited talk to be held at DIKW-RA 2021 conference.
 
Yucong Duan
added 7 research items
Biological resources are multifarious encompassing organisms, genetic materials, populations, or any other biotic components of ecosystems, and fine-grained data management and processing of these diverse types of resources proposes a tremendous challenge for both researchers and practitioners. Before the conceptualization of data lakes, former big data management platforms in the research fields of computational biology and biomedicine could not deal with many practical data management tasks very well. As an effective complement to those previous systems, data lakes were devised to store voluminous, varied, and diversely structured or unstructured data in their native formats, for the sake of various analyses like reporting, modeling, data exploration, knowledge discovery, data visualization, advanced analysis, and machine learning. Due to their intrinsic traits, data lakes are thought to be ideal technologies for processing of hybrid biological resources in the format of text, image, audio, video, and structured tabular data. This paper proposes a method for constructing a practical data lake system for processing multimodal biological data using a prototype system named ProtoDLS, especially from the explainability point of view, which is indispensable to the rigor, transparency, persuasiveness, and trustworthiness of the applications in the field. ProtoDLS adopts a horizontal pipeline to ensure the intra-component explainability factors from data acquisition to data presentation, and a vertical pipeline to ensure the inner-component explainability factors including mathematics, algorithm, execution time, memory consumption, network latency, security, and sampling size. The dual mechanism can ensure the explainability guarantees on the entirety of the data lake system. ProtoDLS proves that a single point of explainability cannot thoroughly expound the cause and effect of the matter from an overall perspective, and adopting a systematic, dynamic, and multisided way of thinking and a system-oriented analysis method is critical when designing a data processing system for biological resources.
Service-oriented architecture (SOA) provides a flexible IT infrastructure in order to deal with global competition. However, real-world services change their architectures and functions frequently. This work uses data integration, information synthesis, and knowledge fusion to analyze SOA evolution and complexity. A quantificational approach is provided to estimate the change effects on a service-oriented system. We established a cloud service community to provide rich cloud services and a service mashup platform that connects API service providers and service users. The platform user can invoke all API services on the platform without jumping to the third-party website. The platform users can filter and accept the services recommended by the platform, and also freely compose the services which are real-world services. Data integration, information synthesis, and knowledge fusion are applied to mashups that users constructed, helping users avoid complexity and unreliability that is our objective. We also showed that our method achieved significant quantitative results.
Yucong Duan
added 2 research items
针对多维度、多模态、多尺度物理与数字 空间海量内容交互背景下的复杂内容识别、建模、处理、 服务化及优化的认知完整性及融合挑战,以人工智能可 解释的不确定性语义辨识为切入点,融合心理生理学、 认知语言学、信息科学、生物社会学、哲学与元科学跨 界视角,从多模态内容语义溯源、关联、迁移、交互、 演化等不确定性揭示主、客观语义的意图驱动的转化机 制及不完整、不精确、不一致背景下面向科学 vs 人文、 个体 vs 社会、理论 vs 经验融合的整体服务化。通过跨 模态语义关联分析与存在语义建模,抽象模态转化机制, 构建跨尺度融合的语义模型与处理算法。重点关注介尺 度语义的概念化权衡与关联机制,价值导向的新旧概念 混合的复杂语义识别、度量、融合、再概念化优化模式, 形成解释、评估与处理语义不确定性的方法机制。拟进 一步进行价值驱动的基于跨模态不确定内容语义抽象、 识别与转化乃至再概念化的跨尺度跨界复杂服务多维度 功能组合与关联优化研究。
We'd like to propose the framework for semantic reasoning across subjective and objective boundaries towards a strong artificial intelligence landscape. The ongoing proposals comprises: existence computation, essence computation and purpose computation and reasoning initiatives demonstrated with DIKW categories.
Yucong Duan
added a research item
课题组最新授权发明专利: http://www.yucongduan.org/ygb-zh/ygb-zh130.html 面向本质计算与推理的跨DIKW模态隐私资源保护方法 【摘要】:本申请公开了一种面向本质计算与推理的跨DIKW模态隐私资源保护方法,所述方法包括:在接收资源保护指令后,删除所述资源保护指令对应的隐私资源;查询所述隐私资源的推导路径,并确定每一所述推导路径的推导成本和模态转化成本;根据所述推导成本和所述模态转化成本确定所有所述推导路径的转化优先级,并根据所述转化优先级从所有所述推导路径选取目标推导路径;将所述目标推导路径对应的资源由原模态转化为其他模态。本申请能够提高推导隐私资源的复杂度,保证隐私资源的安全性。本申请还公开了一种面向本质计算与推理的跨DIKW模态隐私资源保护系统、一种电子设备及一种存储设备,具有以上有益效果。 http://blog.sciencenet.cn/home.php?mod=space&uid=3429562&do=blog&id=1302394
Yucong Duan
added an update
Dear ALL, Due to that the previous conference management side has stopped its service to DIKW2021, the previous conference site https://dikwra.org/ is abolished. Please kindly move your submissions to our new DIKW2021 conference site: http://www.ieee-cybermatics.org/2021/dikw/ We are very sorry for all the inconveniences during this transferring process. Thanks deeply again for your patience and continued support. Looking forward to seeing you at Haikou city or online instead. Sincerely, Chairs of DIKW2021
 
Yucong Duan
added a research item
Aiming at Cognitive integrity and integration overload for complex content identification, modeling, processing, and service optimization in the context of massive content interaction in multi-dimensional, multi-modal, multi-scale physical and digital space, we start from the identification and clarity of the uncertain semantics contained in the interpretability problem of artificial intelligence. Based on the integration of the value perspectives of psychophysiology, cognitive linguistics, information science, sociobiology , philosophy and metascience, we reveal the subjective and objective semantics of concepts from the uncertainties of multi-modal content semantic traceability, relevance, migration, interaction, and evolution of
Yucong Duan
added 2 research items
Privacy protection has recently been in the spotlight of attention to both academia and industry. Society protects individual data privacy through complex legal frameworks. The increasing number of applications of data science and artificial intelligence has resulted in a higher demand for the ubiquitous application of the data. The privacy protection of the broad Data-Information-Knowledge-Wisdom (DIKW) landscape, the next generation of information organization, has taken a secondary role. In this paper, we will explore DIKW architecture through the applications of the popular swarm intelligence and differential privacy. As differential privacy proved to be an effective data privacy approach, we will look at it from a DIKW domain perspective. Swarm intelligence can effectively optimize and reduce the number of items in DIKW used in differential privacy, thus accelerating both the effectiveness and the efficiency of differential privacy for crossing multiple modals of conceptual DIKW. The proposed approach is demonstrated through the application of personalized data that is based on the open-source IRIS dataset. This experiment demonstrates the efficiency of swarm intelligence in reducing computing complexity.
Web services are middleware designed to support the interoperation between different software systems and devices over the Web. Today, we encounter a variety of situations in which services deployed on the Internet of things (IoT), such as wireless sensor networks, ZigBee networks, and mobile edge computing frameworks, have become a widely used infrastructure that has become more flexible, intelligent and automated. This system supports multimedia applications, E-commerce transactions, business collaborations and information processing. However, how to manage these services has been a popular topic in IoT research. Existing research covers numerous resource models, based on sensors or human interactions. For everything as a service, things are available as a service include products, processes, resource management and security provision. To cope with the challenge of how to manage these services, we present an extension of Data, Information, Knowledge and Wisdom architecture as a resource expression model to construct a systematic approach to modeling both entity and relationship elements. The entity elements are formalized from a fully typed, multiple-related dimensions perspective to obtain a whole frequency-value-based representation of entities in the real world. A relationship model is extended and applied to define resource models based on relationships defined from a semantics perspective that is based on our proposed existence-level reasoning. Then, a processing framework is proposed that seeks to optimize the searching efficiency of typed resources in terms of IoT data, information and knowledge inside an integrated architecture, and the framework includes Data Graph, Information Graph and Knowledge Graph. We concentrate on improving performance in accessing and processing resources and providing resource security protection by utilizing the cost difference of both type conversions of resources and traversing on resources. Finally, an application scenario is simulated to illustrate the usage of the proposed framework. This scenario shows the feasibility and effectiveness of our method, considering the conversion, traversing and storage costs. Our method can help improve the optimization of services and scheduling resources of multimedia systems.
Yucong Duan
added a research item
DIKW researches have been taken in many domains spanning over decades at least. With the help of Researchgate filtering function, we have sorted nearly 400 related literature to ease the finding of this topic in hope of accelerating related research and investigation in deeper foundations and towards rich applications iteratively.
Yucong Duan
added 8 research items
Currently, with the growth of the Internet of Things devices and the emergence of massive edge resources, security protection content has not only empowered IoT devices with the accumulation of networked computing and storage as a flexible whole but also enabled storing, transferring and processing DIKW (data, information, knowledge, and wisdom) content at the edge of the network from multiple devices in a mobile manner. However, understanding various DIKW content or resources poses a conceptual challenge in unifying the semantics of the core concepts as a starting point. Through building metamodels of the DIKW framework, we propose to cognitively formalize the semantics of the key elements of the DIKW in a conceptual process. The formalization centers on modeling the perceived world only by relationships or semantics as the prime atomic comprising elements. Based on this cognitive world model, we reveal the difference between relationships and entities during the conceptualization process as a foundation for distinguishing data and information. Thereafter, we show the initial case for using this formalization to construct security protection solutions for edge computing scenarios centering on type conversions among typed resources formalized through our proposed formalization of the DIKW.
In the context of the accelerated growth of multi-dimensional, multi-modal, multi-scale social information network mass content, faced with cognitive overloading of the processing need of complex content objects and processing process, this project starts from the clarity of the uncertain semantics contained in the interpretability problem of artificial intelligence. The project merges the perspectives of consciousness science, cognitive linguistics, information science, philosophy and metascience to reveal semantic clarification in compositions of multi-concepts and value driven global optimization covering the semantic traceability, definition, update, migration, and uncertainty of dynamic evolution of multimodal and complex content in the forms of data, information, knowledge.Through conceptual semantic content association modeling and analysis of its existing semantic dependencies and dependent path traceability format rules, this project focuses on the semantic conceptualization mechanism of mesoscale semantic content between conceptual semantic representations.This project proposes to balance the engineering practice and the theoretical findings through
Yucong Duan
added a research item
DIKWR2021 Welcome Message (https://dikwra.org/) Dear Friends and Colleagues: Data, Information, Knowledge and Wisdom, in short (DIKW), have been used widely as natural language marking terms in various domains for the purposes of expressing understandings. However there are still no unified understandings over the meaning of the DIKW concepts. Data, Information, Knowledge and Wisdom as a whole concept of DIKW is also missing unified understandings of the relationships among them. Therefore there has been proposals and models of DIKW as "layered hierarchy", "architecture", "framework", "network", "thinking mode", "style", "pattern", "style", "theory", "methodology", "model", "graph", etc. Current scientific researches and engineering practices, as long as they aim at solving complexity based on precision and correction of conceptual sharing, are advancing ahead relying more and more on the solidification of the conceptual foundation. For example, to approaching strong AI involving art and social science in the direction of explainable AI, using current machine learning practice will need firstly not labeling ambiguous conceptual objects but identifying the semantics of the concepts in an objective manner if possible. Recently AI practices have already been approaching multiple modals learning targets in terms of voice, picture, text, etc, rapidly, in various domains not limited to neuroscience, biology, medicine, industrial 4.0, digital twins, security and privacy protection, design, etc. These approaches cover multiple modals labeling, understanding, searching, reasoning, modification and especially and most recently embedding technologies in the form of various DIKW integration Machine Learning extensions. A foreseeable AI landscape with explainable and interactive human interactions is becoming feasible based on DIKW premises. From the cognitive perspective, we propose to use multiple-modals for DIKW concepts as that Data modal as entity records of observations or abstraction of individual information with specific purposes, Information modal as purpose oriented relationships among DIKW targets, Knowledge modal as information typed with hypothesis of completeness, and Wisdom modal as human value bundled information. Towards the unification landscape of science and social science pictured in "Consilience:The Unity of Knowledge" by Dr. Edward O. Wilson, as DIKW modals are increasingly recognized as an important approach to solving problems related to semantic understanding beyond various question and answering systems, we are feeling more than ever the need to start by investigating on the necessary of unification of DIKW concepts in the background of relationship defined everything of semantics (RDXS) towards solving essence oriented computation and reasoning activities. There might also be the cases that there will be new mode of Strong AI explorations such as we will not need to reach explicit unified understandings of the core concepts such as DIKW in the form of objective semantics but partially in the form of subjective semantics, which will still need supports or justification from cognitive psychology, philosophy, etc. Under this background, 2021 Future Data, Information and Knowledge Research and Applications Conference (DIKW-RA 2021) aims to bring together scientists, researchers, and industrial engineers to discuss and exchange experimental and theoretical results, novel designs, work-in-progress and case studies on theories,
Yucong Duan
added a project goal
2021 Data, Information, Knowledge and Wisdom Conference (DIKW 2021) aims to bring together scientists, researchers, and industrial engineers to discuss and exchange experimental and theoretical results, novel designs, work-in-progress and case studies on theories, design mechanisms and extensions on Data, Information, Knowledge and Wisdom interactions in all areas, in all phases, empirical or theoretical solutions. We hope you will join us for the great gathering of outstanding science, engineering, and technology, and look forwards to seeing you in the beautiful tropical city Haikou! Website: http://www.ieee-cybermatics.org/2021/dikw/