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

By |2020-12-11T00:29:15+01:00December 11th, 2020|

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 incompleteness (eg, missing affiliations, references, research topics), which ends up reducing the scope and quality of the resulting analysis. This [...]

5* Knowledge Graph Embeddings with Projective Transformations

By |2020-06-08T20:29:29+02:00June 8th, 2020|

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 transformation function that maps nodes via edges into a vector space. Since the complex structure of the real world is [...]

Reasoning in Knowledge Graphs: An Embeddings Spotlight

By |2020-06-03T13:06:59+02:00June 3rd, 2020|

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, neural network-based reasoning, etc. In particular, we will discuss three dimensions of reasoning in Knowledge Graphs. Complementing these dimensions, [...]

Special Issue on Scholarly Data Analysis (Semantics, Analytics, Visualisation)

By |2019-11-25T10:49:25+01:00November 25th, 2019|

Abstract The increasing interest in analysing, describing, and improving the research process requires the development of new forms of scholarly data publication and analysis that integrates lessons and approaches from the field of Semantic Technologies, Science of Science, Digital Libraries, and Artificial Intelligence. This editorial summarises the content of the Special Issue on Scholarly [...]

Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function

By |2019-07-09T15:57:49+02:00July 9th, 2019|

Abstract Translation-based embedding models have gained significant attention in link prediction tasks for knowledge graphs. TransE is the primary model among translation-based embeddings and is well-known for its low complexity and high efficiency. Therefore, most of the earlier works have modified the score function of the TransE approach in order to improve the performance [...]

Unveiling scholarly communities over knowledge graphs

By |2018-09-10T13:08:20+02:00September 10th, 2018|

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 retrieval, query processing, and question answering, as well as solutions to knowledge discovery tasks including pattern discovery and link prediction. [...]

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

By |2018-01-01T13:27:10+01:00January 1st, 2018|

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 comprehensive semantic and machine-comprehensible descriptions of their research, thus making research contributions more transparent and comparable. We present the SemSur [...]

Towards a knowledge graph representing research findings by semantifying survey articles

By |2017-09-17T15:54:04+02:00September 17th, 2017|

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 comprehensive descriptions of their research, thus making research contributions transparent and comparable. The current approach for structuring, systematizing and comparing [...]

Analysing scholarly communication metadata of computer science events

By |2017-09-17T13:56:02+02:00September 17th, 2017|

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 of conferences, from submission to peer review to publication, have become considerably easier and efficient. A key question now is [...]

OpenResearch: Collaborative Management of Scholarly Communication Metadata

By |2016-11-19T01:39:26+01:00November 19th, 2016|

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 where events are announced. Therefore, scholars have to spend a lot of time on reading and assessing calls for papers [...]

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