Knowledge Graphs

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

Reasoning in Knowledge Graphs: An Embeddings Spotlight

2021-01-03T13:12:17+01:00

Abstract In this chapter we introduce the aspect of reasoning in Knowledge Graphs. As in Chap. 2, we will give a broad overview focusing on the multitude of reasoning techniques: spanning logic-based reasoning, embedding-based [...]

Reasoning in Knowledge Graphs: An Embeddings Spotlight2021-01-03T13:12:17+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

A reduced feature based neural network approach to classify the category of students

2021-02-04T18:40:22+01:00

Abstract To ensure more effectiveness in the learning process in educational institutions, categorization of students is a very interesting method to enhance student's learning capabilities by identifying the factors that affect their performance and [...]

A reduced feature based neural network approach to classify the category of students2021-02-04T18:40:22+01:00

SemSur: a core ontology for the semantic representation of research findings

2020-12-13T23:10:43+01:00

Abstract The way how research is communicated using text publications has not changed much over the past decades. We have the vision that ultimately researchers will work on a common structured knowledge base comprising [...]

SemSur: a core ontology for the semantic representation of research findings2020-12-13T23:10:43+01:00

Towards a knowledge graph representing research findings by semantifying survey articles

2020-12-13T23:20:11+01:00

Abstract Despite significant advances in technology, the way how research is done and especially communicated has not changed much. We have the vision that ultimately researchers will work on a common knowledge base comprising [...]

Towards a knowledge graph representing research findings by semantifying survey articles2020-12-13T23:20:11+01:00

Analysing scholarly communication metadata of computer science events

2020-12-13T23:58:53+01:00

Abstract Over the past 30 years we have observed the impact of the ubiquitous availability of the Internet, email, and web-based services on scholarly communication. The preparation of manuscripts as well as the organisation [...]

Analysing scholarly communication metadata of computer science events2020-12-13T23:58:53+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