LLMs4OL: Large language models for ontology learning
We propose the LLMs4OL approach, which utilizes Large Language Models (LLMs) for
Ontology Learning (OL). LLMs have shown significant advancements in natural language …
Ontology Learning (OL). LLMs have shown significant advancements in natural language …
Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star
It is beneficial to automate the process of deriving concept hierarchies from corpora since a
manual construction of concept hierarchies is typically a time-consuming and resource …
manual construction of concept hierarchies is typically a time-consuming and resource …
Ontology learning from relational database: Opportunities for semantic information integration
Along with the rapidly growing scale of relational database (RDB), how to construct domain-
related ontologies from various databases effectively and efficiently has been a bottleneck of …
related ontologies from various databases effectively and efficiently has been a bottleneck of …
[PDF][PDF] Automated Construction of Knowledge-Bases for Safety Critical Applications: Challenges and Opportunities.
Creation of machine-usable, high-quality knowledge-bases is a critical prerequisite for many
important applications that rely on availability of high-level of autonomous decision-making …
important applications that rely on availability of high-level of autonomous decision-making …
Enhancing relevant concepts extraction for ontology learning using domain time relevance
Abstract Concepts extraction is the backbone task for an ontology construction system.
Identifying the relevant concepts is considered one of the main challenges of automatic …
Identifying the relevant concepts is considered one of the main challenges of automatic …
Artificial intelligence algorithms for natural language processing and the semantic web ontology learning
Evolutionary clustering algorithms have considered as the most popular and widely used
evolutionary algorithms for minimising optimisation and practical problems in nearly all …
evolutionary algorithms for minimising optimisation and practical problems in nearly all …
Durchgängiges Wissensmanagement von OT-Security-Wissen im Lebensweg von Produktionsanlagen
C Tebbe - 2021 - openhsu.ub.hsu-hh.de
Die Zuverlässigkeit von Produktionsanlagen wird durch Angriffe auf die Security der
Operational Technology (OT) bedroht. Diese Problematik betrifft Unternehmen und Betreiber …
Operational Technology (OT) bedroht. Diese Problematik betrifft Unternehmen und Betreiber …
Towards NLP-supported Semantic Data Management
The heterogeneity of data poses a great challenge when data from different sources is to be
merged for one application. Solutions for this are offered, for example, by ontology-based …
merged for one application. Solutions for this are offered, for example, by ontology-based …
Natural language understanding in socially interactive agents
R Pieraccini - The Handbook on Socially Interactive Agents: 20 years …, 2021 - dl.acm.org
Natural language has fascinated and challenged research scientists and technol ogists from
the early times of computer science. Claude Shannon's 1948 seminal paper on information …
the early times of computer science. Claude Shannon's 1948 seminal paper on information …
Anomalies resolution and semantification of tabular data
The fast growth of the web generates a significant amount of heterogeneous information
such as images, text, audio, and video through various applications. These applications use …
such as images, text, audio, and video through various applications. These applications use …