Link Prediction using Numerical Weights for Knowledge Graph Completion within the Scholarly Domain

2021-01-31T12:14:11+01:00

Abstract Knowledge graphs (KGs) are widely used for modeling scholarly communication, informing scientometric analysis, and supporting a variety of intelligent services to explore the literature and predict research dynamics. However, they often suffer from [...]

Link Prediction using Numerical Weights for Knowledge Graph Completion within the Scholarly Domain2021-01-31T12:14:11+01:00

5* Knowledge Graph Embeddings with Projective Transformations

2021-01-31T12:17:54+01:00

Abstract Performing link prediction using knowledge graph embedding (KGE) models is a popular approach for knowledge graph completion. Such link predictions are performed by measuring the likelihood of links in the graph via a [...]

5* Knowledge Graph Embeddings with Projective Transformations2021-01-31T12:17:54+01:00

Unveiling scholarly communities over knowledge graphs

2020-12-13T23:04:41+01:00

Abstract Knowledge graphs represent the meaning of properties of real-world entities and relationships among them in a natural way. Exploiting semantics encoded in knowledge graphs enables the implementation of knowledge-driven tasks such as semantic [...]

Unveiling scholarly communities over knowledge graphs2020-12-13T23:04:41+01:00

OpenResearch: Collaborative Management of Scholarly Communication Metadata

2020-12-13T23:56:38+01:00

Abstract Scholars often need to search for matching, high-profile scientific events to publish their research results. Information about topical focus and quality of events is not made sufficiently explicit in the existing communication channels [...]

OpenResearch: Collaborative Management of Scholarly Communication Metadata2020-12-13T23:56:38+01:00
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