Learning Entity and Relation Embeddings for Knowledge Resolution

Lin, Hailun; Liu, Yong; Wang, Weiping; Yue, Yinliang; Lin, Zheng

doi:10.1016/j.procs.2017.05.045

Cited by 68 publications

(32 citation statements)

References 8 publications

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“…For the traditional knowledge graph, knowledge graph is the whole set of knowledge base, which not only needs to acquire and store all the data in the possible data sources [34], but also needs to store the semantic association between these data. Because the data in the SIOT is dynamic and massive, it becomes a challenge to acquire and store semantic data in all data sources.…”

Section: A the Extension Of Knowledge Graph In Siotmentioning

confidence: 99%

A Semantic Collaboration Method Based on Uniform Knowledge Graph

Cao

Tanveer

et al. 2020

IEEE Internet Things J.

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The Semantic Internet of Things is the extension of the Internet of Things and the Semantic Web, which aims to build an interoperable collaborative system to solve the heterogeneous problems in the Internet of Things. However, the Semantic Internet of Things has the characteristics of both the Internet of Things and the Semantic Web environment, and the semantic data presents many new data features. We analyze the characteristics of semantic data and propose the concept of uniform knowledge graph, which can be smoothly applied in the environment of the Semantic Internet of Things. In the meantime, a semantic collaboration method based on uniform knowledge graph is designed to take the uniform knowledge graph as the form of knowledge organization and representation, which provides a good data basis for semantic collaboration by constructing semantic links to complete semantic relation between different data sets. Then, the semantic collaboration in the Semantic Internet of Things can be achieved in our study. The experiments show that our method has the potential to analyze and understand the semantics of user requirements and provide more satisfactory results.

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Section: A the Extension Of Knowledge Graph In Siotmentioning

confidence: 99%

A Semantic Collaboration Method Based on Uniform Knowledge Graph

Cao

Tanveer

et al. 2020

IEEE Internet Things J.

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show abstract

“…The representative of translation models, TransE [2] and its succeeding improvements [3], [6], [7] use simple distance functions to measure the reliability of triples. Among them, the latest achievement RotatE [5], which adopts the idea of Euler theorem to model the relation as a rotation on the complex plane and satisfies the three basic relation patterns, is particularly successful.…”

Section: A Kg Embeddingmentioning

confidence: 99%

3DRTE: 3D Rotation Embedding in Temporal Knowledge Graph

et al. 2020

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“…Incompleteness means that edges representing relations which exist between nodes in reality are not present in the graph (for example, if the knowledge graph contains the "United Kingdom" and "United Nations" nodes but does not contain the "Member-Of" relation between them). This property of knowledge graphs has given rise to efforts to identify missing relations between entities, a task referred to as knowledge graph completion (Lin et al, 2017).…”

Section: Knowledge Graphsmentioning

confidence: 99%