Results 41 to 50 of about 71,458 (159)
Entity Search Based on the Representation Learning Model With Different Embedding Strategies
IEEE Access, 2017 We focus on the problem of learning distributed representations for entity search queries, named entities, and their short descriptions. With our representation learning models, the entity search query, named entity, and description can be represented as
Shijia E., Yang Xiang
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Geomatics, Natural Hazards & RiskThe extraction of geological disaster entities and relations is a pivotal technology in the construction of a geological disaster knowledge graph. This is significant for enhancing disaster response efficiency and fortifying disaster management. Existing
Yijiang Zhao +4 more
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Chinese Geological Entity Relation Extraction Based on RoBERTa and Weighted Graph Convolutional Networks [PDF]
Jisuanji kexueKnowledge is the cornerstone of big data and artificial intelligence.Knowledge graphs offer interpretability and sca-lability advantages,making them crucial in intelligent systems.Intelligent decision has urgent application demand in various fields ...
ZHANG Lu, DUAN Youxiang, LIU Juan, LU Yuxi
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A Novel Dual-Strategy Approach for Constructing Knowledge Graphs in the Home Appliance Fault Domain
AlgorithmsKnowledge graph technology holds significant importance for efficient fault diagnosis in household appliances. However, the scarcity of public fault diagnosis data and the lack of automated knowledge extraction pose major challenges to knowledge graph ...
Daokun Zhang +3 more
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An Entity-Relation Extraction Method Based on the Mixture-of-Experts Model and Dependency Parsing
Applied SciencesEntity-relation extraction (ERE) aims to identify entity types and the relationships between them from unstructured texts and is one of the key technologies for constructing knowledge graphs.
Yuanxi Li, Haiyan Wang, Dong Zhang
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Applied Sciences(1) Background: Information overload challenges decision-making in the Industry 4.0 era. While Natural Language Processing (NLP), especially Automatic Text Summarization (ATS), offers solutions, issues with factual accuracy persist. This research bridges
Zhejun Zhang +8 more
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Mapping XML Schema to Entity Relationship and Extended Entity Relationship Models
International Journal of Intelligent Information and Database Systems, 2007 In this paper, we conceptually model an Entity Relationship (ER) diagram and Extended Entity Relationship (EER) diagram from XML Schema. This conceptual view of XML Schema is a necessary step in understanding XML data, and can easily be used to translate XML data to the relational model.
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Mapping OWL to the Entity Relationship and Extended Entity Relationship models
International Journal of Knowledge and Web Intelligence, 2009 This paper presents mapping rules to conceptually model an Entity Relationship (ER) diagram and Extended Entity Relationship (EER) diagram from OWL by identifying ER and EER constructs in OWL. OWL has been designed for the semantic web, but data in OWL format is not easy to manipulate or query.
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Metamodeling the enhanced entity-relationship model
Journal of Information and Data Management, 2013 [EN] A metamodel provides an abstract syntax to distinguish between valid and invalid models. That is, a metamodel is as useful for a modeling language as a grammar is for a programming language. In this context, although the Enhanced Entity-Relationship (EER) Model is the de facto standard modeling language for database conceptual design, to the best ...
Fidalgo, Robson N. +4 more
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A practical and nuanced framework for entity linking evaluation. [PDF]
J Biomed SemanticsXu F, Nenadic G, Stevens R.
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