Named entity disambiguation in short texts over knowledge graphs
Sign Up to like & getrecommendations! Published in 2022 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-021-01642-9
Abstract: The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation (NED) at the heart of designing accurate KG-driven systems such as query answering systems (QAS). According to the current research, most studies dealing with… read more here.
Keywords: entity; knowledge; entity disambiguation; knowledge graphs ... See more keywords
A similarity model based on reinforcement local maximum connected same destination structure oriented to disordered fusion of knowledge graphs
Sign Up to like & getrecommendations! Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01673-9
Abstract: The alignment and fusion of knowledge graphs have been at entity alignment and fusion which match and align knowledge graphs (KGs) by measuring similarity of the entities in KGs. Nevertheless, false fusion of completely different… read more here.
Keywords: destination; similarity model; similarity; knowledge graphs ... See more keywords
SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks
Sign Up to like & getrecommendations! Published in 2020 at "SoftwareX"
DOI: 10.1016/j.softx.2020.100516
Abstract: Abstract SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds the semantic models of… read more here.
Keywords: semi; modeling; knowledge graphs; graph neural ... See more keywords
A comprehensive review on knowledge graphs for complex diseases
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac543
Abstract: In recent years, knowledge graphs (KGs) have gained a great deal of popularity as a tool for storing relationships between entities and for performing higher level reasoning. KGs in biomedicine and clinical practice aim to… read more here.
Keywords: comprehensive review; review knowledge; knowledge graphs; complex diseases ... See more keywords
Metapaths: similarity search in heterogeneous knowledge graphs via meta-paths
Sign Up to like & getrecommendations! Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad297
Abstract: Abstract Summary Heterogeneous knowledge graphs (KGs) have enabled the modeling of complex systems, from genetic interaction graphs and protein-protein interaction networks to networks representing drugs, diseases, proteins, and side effects. Analytical methods for KGs rely… read more here.
Keywords: meta paths; similarity search; heterogeneous knowledge; knowledge graphs ... See more keywords
Neuro-symbolic representation learning on biological knowledge graphs
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx275
Abstract: Motivation : Biological data and knowledge bases increasingly rely on Semantic Web technologies and the use of knowledge graphs for data integration, retrieval and federated queries. In the past years, feature learning methods that are… read more here.
Keywords: knowledge; knowledge graphs; learning biological; biological knowledge ... See more keywords
A Quaternion-Embedded Capsule Network Model for Knowledge Graph Completion
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997177
Abstract: Knowledge graphs are collections of factual triples. Link prediction aims to predict lost factual triples in knowledge graphs. In this paper, we present a novel capsule network method for link prediction taking advantages of quaternion.… read more here.
Keywords: model; knowledge graphs; knowledge; capsule network ... See more keywords
Question Answering over Knowledge Graphs: A Case Study in Tourism
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DOI: 10.1109/access.2022.3187178
Abstract: Over the recent years, a large number of knowledge graphs (KGs) have been developed to store and present small and medium enterprises’ data in the form of subject-predicate-object triples. The KGs are not easily accessible… read more here.
Keywords: knowledge graphs; question; question answering; phase ... See more keywords
Knowledge Graphs in Education and Employability: A Survey on Applications and Techniques
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3194063
Abstract: Studies on the relationship between education and employability are of paramount importance for policy makers, training institutions, companies and students. The availability of large scale data on the Internet, such as online job ads, has… read more here.
Keywords: graphs education; education employability; education; knowledge graphs ... See more keywords
A Few-Shot Inductive Link Prediction Model in Knowledge Graphs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206037
Abstract: Link prediction aims to predict the missing facts in knowledge graphs. Most previous work focuses on the transductive link prediction, which cannot predict unknown entities. However, knowledge graphs are evolving in practical scenarios and new… read more here.
Keywords: link; knowledge graphs; model; link prediction ... See more keywords
Completing Scientific Facts in Knowledge Graphs of Research Concepts
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3220241
Abstract: In the last few years, we have witnessed the emergence of several knowledge graphs that explicitly describe research knowledge with the aim of enabling intelligent systems for supporting and accelerating the scientific process. These resources… read more here.
Keywords: scientific facts; completing scientific; knowledge graph; knowledge ... See more keywords