Results 281 to 290 of about 247,759 (306)

Subsumption in knowledge graphs

2005
An important notion for representation formalisms of natural language semantics, is a subsumption hierarchy. Therefore a precise definition of subsumption is necessary. We shall argue that the usual solution of providing an extensional semantics and mapping subsumption onto set-inclusion, is not satisfactory.
openaire   +1 more source

Meta Structures in Knowledge Graphs

2017
This paper investigates meta structures, schema-level graphs that abstract connectivity information among a set of entities in a knowledge graph. Meta structures are useful in a variety of knowledge discovery tasks ranging from relatedness explanation to data retrieval.
Fionda, Valeria, PIRRO', GIUSEPPE
openaire   +4 more sources

On the ontology of knowledge graphs

1995
Knowledge graphs are a special kind of conceptual graphs. They were developed independently from 1982 on and are special in that a very restricted set of types of relationships is used. In this paper the ontology of knowledge graphs and the philosophy behind its choice are discussed.
openaire   +2 more sources

Knowledge Graphs

ACM Computing Surveys, 2022
Aidan Hogan, Claudia D’Amato, Claudio Gutierrez   +2 more
exaly  

Knowledge graph semantics

Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2022
openaire   +1 more source

Knowledge Graphs: Opportunities and Challenges

Artificial Intelligence Review, 2023
Ciyuan Peng, Feng Xia, Mehdi Naseriparsa   +2 more
exaly  

Knowledge Graphs and Natural Logic

Knowledge graphs have emerged as a widely used method for representing and organizing information in a structured, graph-based form that facilitates understanding, navigation, and utilization by both machines and humans. The graphs model classes, entities and their relationships as nodes and edges in a graph.
Troels Andreasen, Henrik Bulskov, Jørgen Fischer Nilsson   +2 more
openaire   +3 more sources

An Embedding-Based Approach to Rule Learning in Knowledge Graphs

IEEE Transactions on Knowledge and Data Engineering, 2021
Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang   +2 more
exaly  

Knowledge graphs as tools for explainable machine learning: A survey

Artificial Intelligence, 2022
Ilaria Tiddi, Stefan Schlobach
exaly  

Quantum Machine Learning Algorithm for Knowledge Graphs

ACM Transactions on Quantum Computing, 2021
Yunpu Ma, Volker Tresp
exaly