Defining a knowledge graph development process through a systematic review
G Tamašauskaitė, P Groth - ACM Transactions on Software Engineering …, 2023 - dl.acm.org
Knowledge graphs are widely used in industry and studied within the academic community.
However, the models applied in the development of knowledge graphs vary. Analysing and …
However, the models applied in the development of knowledge graphs vary. Analysing and …
[HTML][HTML] Scholarly knowledge graphs through structuring scholarly communication: a review
The necessity for scholarly knowledge mining and management has grown significantly as
academic literature and its linkages to authors produce enormously. Information extraction …
academic literature and its linkages to authors produce enormously. Information extraction …
[HTML][HTML] Open-cykg: An open cyber threat intelligence knowledge graph
Instant analysis of cybersecurity reports is a fundamental challenge for security experts as
an immeasurable amount of cyber information is generated on a daily basis, which …
an immeasurable amount of cyber information is generated on a daily basis, which …
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence
Quantitative investment (``quant'') is an interdisciplinary field combining financial
engineering, computer science, mathematics, statistics, etc. Quant has become one of the …
engineering, computer science, mathematics, statistics, etc. Quant has become one of the …
When to use what: An in-depth comparative empirical analysis of openie systems for downstream applications
Open Information Extraction (OpenIE) has been used in the pipelines of various NLP tasks.
Unfortunately, there is no clear consensus on which models to use in which tasks. Muddying …
Unfortunately, there is no clear consensus on which models to use in which tasks. Muddying …
[HTML][HTML] Knowledge graph of alpine skiing events: a focus on meteorological conditions
W Tang, X Zhang, D Feng, Y Wang, P Ye, H Qu - PLos one, 2022 - journals.plos.org
Alpine skiing, as an outdoor winter sport, is particularly vulnerable to the variation of
meteorological conditions. Scattered and multi-source big data cannot be fully utilized to …
meteorological conditions. Scattered and multi-source big data cannot be fully utilized to …
Automated Mining of Structured Knowledge from Text in the Era of Large Language Models
Massive amount of unstructured text data are generated daily, ranging from news articles to
scientific papers. How to mine structured knowledge from the text data remains a crucial …
scientific papers. How to mine structured knowledge from the text data remains a crucial …
SALKG: a semantic annotation system for building a high-quality legal knowledge graph
M Tang, C Su, H Chen, J Qu… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Knowledge graph has become an essential tool for semantic analysis with the development
of natural language processing and deep learning. A high-quality knowledge graph is handy …
of natural language processing and deep learning. A high-quality knowledge graph is handy …
Problem-oriented CBR: Finding potential problems from lead user communities
Online communities, where lead users openly share their experiences and knowledge on
product and technology in the form of a post, have become a fruitful source of innovation …
product and technology in the form of a post, have become a fruitful source of innovation …
CPPFEE: A Cascade Pointer Prediction Framework for Financial Event Extraction
T Zhang, Z Xue, X Shao, Y Li, J Wu… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Event extraction (EE) is a challenging task in information extraction, which aims at extracting
the event details including event type, trigger, argument and its corresponding role from the …
the event details including event type, trigger, argument and its corresponding role from the …