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Methodology, progress and challenges of geoscience knowledge graph in International Big science Program of Deep-Time Digital Earth

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Journal of Geographical sciences 2025年第5期35卷 1132-1156页

作者： ZHU Yunqiang WANG Qiang WANG Shu SUN Kai WANG Xinbing LV Hairong HU Xiumian ZHANG Jie WANG Bin QIU Qinjun YANG Jie ZHOU Chenghu State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchCAS Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application University of Chinese Academy of Sciences School of Electronic Information and Electrical EngineeringShanghai Jiao Tong University Department of Automation Tsinghua University State Key Laboratory for Mineral Deposits Research School of Earth Sciences and EngineeringNanjing University State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Command Center of Natural Resources Comprehensive Survey School of Computer Science China University of Geosciences

Deep-time Earth research plays a pivotal role in deciphering the rates, patterns, and mechanisms of Earth's evolutionary processes throughout geological history, providing essential scientific foundations for climate prediction, natural resource exploration, and sustainable planetary stewardship. To advance Deep-time Earth research in the era of big data and artificial intelligence, the International Union of Geological sciences initiated the “Deeptime Digital Earth International Big science Program”(DDE) in 2019. At the core of this ambitious program lies the development of geoscience knowledge graphs, serving as a transformative knowledge infrastructure that enables the integration, sharing, mining, and analysis of heterogeneous geoscience big data. The DDE knowledge graph initiative has made significant strides in three critical dimensions:(1) establishing a unified knowledge structure across geoscience disciplines that ensures consistent representation of geological entities and their interrelationships through standardized ontologies and semantic frameworks;(2) developing a robust and scalable software infrastructure capable of supporting both expert-driven and machine-assisted knowledge engineering for large-scale graph construction and management;(3) implementing a comprehensive three-tiered architecture encompassing basic, discipline-specific, and application-oriented knowledge graphs, spanning approximately 20 geoscience disciplines. Through its open knowledge framework and international collaborative network, this initiative has fostered multinational research collaborations, establishing a robust foundation for next-generation geoscience research while propelling the discipline toward FAIR(Findable, Accessible, Interoperable, Reusable) data practices in deep-time Earth systems research.

关键词： Deep-time Digital Earth International Big science Program deep-time Earth geoscience knowledge graph

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Log integration on large scale for global networking monitoring

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Journal of Central South University 2009年第6期16卷 976-981页

作者：缪嘉嘉吴泉源贾焰 School of Computer National University of Defense Technology Institute of Command Automation PLA University of Science and Technology

Supposing that the overall situation is dug out from the distributed monitoring nodes, there should be two critical obstacles, heterogenous schema and instance, to integrating heterogeneous data from different monitoring sensors. To tackle the challenge of heterogenous schema, an instance-based approach for schema mapping, named instance-based machine-learning （IML） approach was described. And to solve the problem of heterogenous instance, a novel approach, called statistic-based clustering （SBC） approach, which utilized clustering and statistics technologies to match large scale sources holistically, was also proposed. These two algorithms utilized the machine-leaning and clustering technology to improve the accuracy. Experimental analysis shows that the IML approach is more precise than SBC approach, reaching at least precision of 81% and recall rate of 82%. Simulation studies further show that SBC can tackle large scale sources holisticalty with 85% recall rate when there are 38 data sources.

关键词： machine-learning clustering data integration schema matching instance matching

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Parallel mining and application of fuzzy association rules

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Frontiers of Electrical and Electronic Engineering in China 2006年第2期1卷 177-182页

作者： LU Jian-jiang XU Bao-wen ZOU Xiao-feng KANG Da-zhou LI Yan-hui ZHOU Jin Institute of Command Automation PLA University of Science and TechnologyNanjing 210007China Department of Computer Science and Engineering Southeast UniversityNanjing 210096China

Quantitative attributes are partitioned into several fuzzy sets by using fuzzy c-means *** c-means algorithm can embody the actual distribution of the data,and fuzzy sets can soften the partition ***,we improve the search technology of apriori algorithm and present the algorithm for mining fuzzy association *** the database size becomes larger and larger,a better way is to mine fuzzy association rules in *** the parallel mining algorithm,quantitative attributes are partitioned into several fuzzy sets by using parallel fuzzy c-means *** parallel algorithm is improved to discover frequent fuzzy attribute set,and the fuzzy association rules with at least a minimum confidence are generated on all *** experiment results implemented on the distributed linked PC/workstation show that the parallel mining algorithm has fine scaleup,sizeup and ***,we discuss the application of fuzzy association rules in the *** example shows that the accuracy of classification systems of the fuzzy association rules is better than that of the two popular classification methods:C4.5 and CBA.

关键词： Data mining Association rules Fuzzy Parallel Classification

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SVDD regularized with area under the ROC 09

SVDD regularized with area under the ROC

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2nd International Conference on Interaction sciences: Information Technology, Culture and Human, ICIS 2009

作者： Chen, Bin Li, Bin Zhisong, Pan Dept. of Computer Yangzhou University Yangzhou China Institute of Command Automation PLA University of Science Technology Nanjing China

ISBN: (纸本)9781605587103

Support Vector Data Description (SVDD) has been successfully applied to detect outliers as points outside the minimal ball enclosing given target training objects. In its design, some rarelyhappened (labeled) outliers can be available, SVDD using Negative examples (NSVDD) can develop a more exact description than SVDD by utilizing the outliers to minimize the empirical risk and thus obtain better classification. However, the low classification error does not always mean good ROC performance when facing the problems with the unknown misclassification costs and/or the class distributions. Inspired by the characteristic of Area Under ROC (AUC) against the above problems, in this paper, we develop a SVDD regularized by the AUC (RSVDD) to optimize the empirical risk added a AUC regularizer in presence of a few available outliers. Experimental results verify the effectiveness of RSVDD in comparison with the traditional SVDD, NSVDD, ROC optimizer Support Vector Machine (ROCSVM) and SVM. Copyright © 2009 ACM.

关键词： Support vector machines

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A family of fuzzy description logics with comparison expressions

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3rd International Conference on Rough Sets and Knowledge Technology, RSKT 2008

作者： Lu, Jianjiang Kang, Dazhou Zhang, Yafei Li, Yanhui Zhou, Bo Institute of Command Automation PLA University of Science and Technology Nanjing 210007 China School of Computer Science and Engineering Southeast University Nanjing 210096 China

ISBN: (纸本)3540797203

The fuzzy knowledge plays an important role in many applications on the semantic web which faces imprecise and vague information. The current ontology languages on the semantic web use description logics as their logic foundation, which are insufficient to deal with fuzzy knowledge. Comparisons expressions between fuzzy membership degrees are frequently used in fuzzy knowledge systems. However, the current fuzzy extensions of description logics are not support the expression of such comparisons. This paper defines fuzzy comparison cuts to represent comparison expressions, extends fuzzy description logics by importing fuzzy comparison cuts and introducing new constructors. Furthermore, the reasoning algorithm is proposed. It enables representation and reasoning for fuzzy knowledge on the semantic web. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Fuzzy logic

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Interaction and collective intelligence on the internet

Interaction and collective intelligence on the internet

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9th Annual Conference on Theory and Applications of Models of Computation, TAMC 2012

作者： Li, Deyi Huang, Liwei Department of Computer Science and Technology Tsinghua University Beijing 100084 China Institute of Command Automation PLA University of Science and Technology Nanjing 210007 China

ISBN: (纸本)9783642299513

Network interconnection, information interoperability, and crowds interaction on the Internet could inspire better computation models than Turing machine, since that human plays an important factor in Internet computing, so that the human-machine and machine-machine interactions have evolved to be the kernel of Internet computing. Internet has not been simply equivalent to a virtual huge computer, or a set of computers. On the Internet, human's behaviors are uncertain, the interactions and influence among people are also uncertain. These uncertainties cannot be described by Turing machine and traditional interaction machine. As a new computation platform, Internet computing requires new theories and methods. By combining topology in mathematics with the field theory in physics, we propose the topological potential approach, which set up a virtual field by the topological space to reflect individual activities, local effects and preferential attachments. This approach can be used to research the emergence of collective intelligence. Here, we introduce three case studies to illustrate the analysis on the collective intelligence on the Internet and discuss some potential applications of the topological potential approach. © 2012 Springer-Verlag.

关键词： Turing machines

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A distributed multimedia CDN model with P2P architecture

A distributed multimedia CDN model with P2P architecture

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2006 International Symposium on Communications and Information Technologies, ISCIT

作者： Guomin, Zhang Changyou, Xing Ming, Chen Department of Computer Science Institute of Command Automation PLA University of Science and Technology No. 1 Hai Fu Xiang Road 210007 Nanjing China

Use for reference of the great success of P2P in distributed file sharing and locating, by abolishing CDN central node and making all POP nodes, which adopt the cluster technique, being peers to each other, a distributed multimedia CDN model with P2P architecture is put forward. In order to implement the global load optimization, the two-level load balance algorithm based on network measurement is proposed. Files are sliced up and transmitted through P2P mechanism to satisfy the requirement on real time multi-media application and high quality of service. Results of analysis show us that this multimedia CDN model has better expansibility, robustness, and quality of service. © 2006 IEEE.

关键词： Quality of service

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Reasoning with fuzzy ontologies

Reasoning with fuzzy ontologies

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2nd International Workshop on Contexts and Ontologies: Theory, Practice and Applications, C and O 2006 - Collocated with the 17th European Conference on Artificial Intelligence, ECAI 2006

作者： Li, Yanhui Xu, Baowen Lu, Jianjiang Kang, Dazhou Department of Computer Science and Engineering Southeast University Nanjing 210096 China Institute of Command Automation PLA University of Science and Technology Nanjing 210007 China

By the development of Semantic Web, increasing demands for vague information representation have triggered a mass of theoretical and applied researches of fuzzy ontologies, whose main logical infrastructures are fuzzy description logics. However, current tableau algorithms can not supply complete reasoning support within fuzzy ontology: reasoning with general TBox is still a difficult problem in fuzzy description logics. The main trouble is that fuzzy description logics adopt fuzzy models with continuous but not discrete membership degrees. In this paper, we propose a novel semantical discretization to discretize membership degrees in fuzzy description logic FSHIN. Based on this discretization, we design discrete tableau algorithms to achieve reasoning with general TBox.

关键词： Data description

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Reasoning problems on distributed fuzzy ontologies

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3rd International Conference on Rough Sets and Knowledge Technology, RSKT 2008

作者： Zhou, Bo Lu, Jianjiang Li, Yanhui Zhang, Yafei Kang, Dazhou Institute of Command Automation PLA University of Science and Technology Nanjing 210007 China School of Computer Science and Engineering Southeast University Nanjing 210096 China

ISBN: (纸本)3540797203

The distributed fuzzy ontologies play an important role in semantic web. Most current solutions are proposed respectively on one of these two aspects. To represent distributed fuzzy ontology, we combine fuzzy description logics and E-connections, and present distributed extended fuzzy description logic ( ). This novel logical approach couples both fuzzy and distributed features within description logics. The main contribution of this paper is to propose a combined tableau to achieve reasoning within . © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Logic programming

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Distributed measurement policy protocol for large-scale network

Distributed measurement policy protocol for large-scale netw...

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ISCIT 2005 - International Symposium on Communications and Information Technologies 2005

作者： Guomin, Zhang Changyou, Xing Ming, Chen Postgraduate Team 4 ICE PLAUST No.2 Biao Ying Road 210007 Nanjing China Department of Computer Science and Command Automation ICA PLAUST No.2 Biao Ying Road 210007 Nanjing China

ISBN: (纸本)0780395387

To make measurement platform adapt to the variety of user's requirement and the changing of measurement tools, all the measurement task are described by policy and loaded to probe by NMPP. As the distributed complicated and unpredictable environment which UNMP situated, the consistency of task state of UNMP must be carefully maintained. NMPP separates the control of measurement operation from the measurement operation itself. It essentially provides a scheduling and controlling mechanism independent of network measurement tools and applications, and improves the flexibility and extensibility. © 2005 IEEE.

关键词： computer networks

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