Benchmarking Knowledge Graphs on the Web

02/14/2020
by   Michael Röder, et al.
0

The growing interest in making use of Knowledge Graphs for developing explainable artificial intelligence, there is an increasing need for a comparable and repeatable comparison of the performance of Knowledge Graph-based systems. History in computer science has shown that a main driver to scientific advances, and in fact a core element of the scientific method as a whole, is the provision of benchmarks to make progress measurable. This paper gives an overview of benchmarks used to evaluate systems that process Knowledge Graphs.

READ FULL TEXT

page 9

page 25

research
03/24/2023

Knowledge Graphs: Opportunities and Challenges

With the explosive growth of artificial intelligence (AI) and big data, ...
research
03/02/2020

Knowledge Graphs on the Web – an Overview

Knowledge Graphs are an emerging form of knowledge representation. While...
research
04/08/2020

Knowledge Graphs for Processing Scientific Data: Challenges and Prospects

There is growing interest in the use of Knowledge Graphs (KGs) for the r...
research
06/08/2020

Knowledge-Based Biomedical Data Science

Knowledge-based biomedical data science involves the design and implemen...
research
09/10/2023

Knowledge-based Refinement of Scientific Publication Knowledge Graphs

We consider the problem of identifying authorship by posing it as a know...
research
04/21/2021

Macroeconomic forecasting with statistically validated knowledge graphs

This study leverages narrative from global newspapers to construct theme...
research
09/09/2022

Multi-Document Scientific Summarization from a Knowledge Graph-Centric View

Multi-Document Scientific Summarization (MDSS) aims to produce coherent ...

Please sign up or login with your details

Forgot password? Click here to reset