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A large scale power communication network simulation system based on big graph database

Science China(Technological Sciences) 2019年第12期62卷 2088-2092页

作者： CHEN Jian JIANG Ying LU WenDa HAN Meng LI XiaoMing State Grid Zhejiang Electric Power Co Ltd.Hangzhou 310007China School of Computer Science and Engineering Nanjing University of Science&TechnologyNanjing 210094China Beijing Zhongdian Puhua Information Technology Co.LTD Beijing 100192China

The power communication network can be abstracted as a graph based on its topology. In this paper, we propose an approach to conduct simulations of power communication network based on its graph representation. In particular, the nodes and edges in the graph refer to the ports and channels in the grid topology. Different applications on the grid can be transformed into queries over the graph. Hence, in this paper, we build our grid simulation model based on the Neo4 j graph database. We also propose a fault extension algorithm based on predicate calculus. Our experiment evaluations show that the proposed approach can effectively improve the efficiency of the power grid.

关键词： power communication network graph database fault-spreading algorithm predicate calculus

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The　Implementation　Technology　of　a　Model　Description　and　Management　Tools　of　Comprehensive　Information

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Systems Science and Systems Engineering 1994年第2期4卷 112-118页

作者： WANG Shiping XI Anbang(Management School, Southeast University, Nanjing, 210018)

This paper introduces the implementation technology of MDAICI system, a model description and management tool to process comprehensive information in Computer integrated Manufacturing Systems (CIMS). XDMIC combines logic programming with relational database. This paper presents PCRF approach for model description and management-predicates calculus to readresent the model and to generate solving programs and Relational Framework to manipulate models and establish a model dictionary. PCF approach implements the division of the model with its solving program and the formalization of the model interpretation, and applies artificial intelligence and database to intelligent modeling and model management.

关键词： predicate calculus relational database logic programming PROLOG model management semantic tree formalization.

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DEBRA: On the Unsupervised Learning of Concept Hierarchies from (Literary) Text

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International Journal of Intelligence Science 2023年第4期13卷 81-130页

作者： Peter J. Worth Domagoj Doresic Department of Electrical Engineering and Computer Science Florida Atlantic University Boca Raton USA Interdisciplinary Research Unit Mathematics and Life Sciences University of Bonn Bonn Germany

With this work, we introduce a novel method for the unsupervised learning of conceptual hierarchies, or concept maps as they are sometimes called, which is aimed specifically for use with literary texts, as such distinguishing itself from the majority of research literature on the topic which is primarily focused on building ontologies from a vast array of different types of data sources, both structured and unstructured, to support various forms of AI, in particular, the Semantic Web as envisioned by Tim Berners-Lee. We first elaborate on mutually informing disciplines of philosophy and computer science, or more specifically the relationship between metaphysics, epistemology, ontology, computing and AI, followed by a technically in-depth discussion of DEBRA, our dependency tree based concept hierarchy constructor, which as its name alludes to, constructs a conceptual map in the form of a directed graph which illustrates the concepts, their respective relations, and the implied ontological structure of the concepts as encoded in the text, decoded with standard Python NLP libraries such as spaCy and NLTK. With this work we hope to both augment the Knowledge Representation literature with opportunities for intellectual advancement in AI with more intuitive, less analytical, and well-known forms of knowledge representation from the cognitive science community, as well as open up new areas of research between Computer Science and the Humanities with respect to the application of the latest in NLP tools and techniques upon literature of cultural significance, shedding light on existing methods of computation with respect to documents in semantic space that effectively allows for, at the very least, the comparison and evolution of texts through time, using vector space math.

关键词： Ontology Learning Ontology Engineering Concept Hierarchies Concept Mapping Concept Maps Artificial Intelligence Philosophy Natural Language Processing Knowledge Representation Knowledge Representation and Reasoning Machine Learning Natural Language Processing NLP Computer Science Theoretical Computer Science Epistemology Metaphysics Philosophy Logic Computing Ontology First Order Logic predicate calculus

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