Knowledge Graph and Semantic Computing : Semantic, Knowledge, and Linked Big Data - Info and Reading Options

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Intro -- Preface -- Organization -- Contents -- Knowledge Representation and Learning -- A Joint Embedding Method for Entity Alignment of Knowledge Bases -- 1 Introduction -- 2 Background -- 2.1 Task Description -- 2.2 Related Work -- 3 Datasets -- 3.1 FB15K Dataset -- 3.2 DB-FB Dataset -- 4 Methodology -- 5 Experimental Evaluations -- 5.1 Baseline -- 5.2 Implementation -- 6 Conclusions -- References -- A Multi-dimension Weighted Graph-Based Path Planning with Avoiding Hotspots -- Abstract -- 1 Introduction -- 1.1 Path Planning -- 1.2 Avoiding Hotspots -- 1.3 Related Works -- 1.4 Overview -- 2 Graph -- 2.1 Basic Definitions -- 2.2 Directed Graph -- 2.3 Undirected Graph -- 2.4 Weighted Graph -- 3 Extension of Weighted Graph -- 3.1 Multi-dimension Weighted Graph -- 3.2 Aggregate Function -- 4 Application of Multi-dimension Weighted Graph -- 4.1 Graph of Probability of Traffic Jam -- 4.2 Data and Results -- 5 Experiments -- 5.1 Framework -- 5.2 Efficiency -- 5.3 Graph of Traffic Accidents -- 5.4 Graph of Traffic Cost -- 5.5 Graph of Traffic Time -- 6 Conclusions -- Acknowledgements -- References -- Position Paper: The Unreliability of Language - A Common Issue for Knowledge Engineering and Buddhism -- 1 Introduction -- 2 The Incompleteness of Mathematical Languages -- 3 Language-Game -- 4 The Influence of Gödel's Incompleteness Theorems to Computer Science and Artificial Intelligence -- 5 Everything with Form is Unreal -- 6 Discussion -- 7 Conclusions -- References -- Construction of Domain Ontology for Engineering Equipment Maintenance Support -- Abstract -- 1 Introduction -- 2 Overview of Domain Ontology Construction -- 2.1 Principle -- 2.2 Tools and Methods -- 3 Construction of Equipment Maintenance Domain Ontology -- 3.1 Nail Down Professional Category and Domain -- 3.2 Comb the Resources of Domain Knowledge

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