Ontology learning aims at reducing the time and efforts in the ontology development
process. In recent years, several methods and tools have been proposed to speed up this …

We propose the LLMs4OL approach, which utilizes Large Language Models (LLMs) for
Ontology Learning (OL). LLMs have shown significant advancements in natural language …

We develop a methodology for automatically analyzing text to aid in discriminating firms that
encounter catastrophic financial events. The dictionaries we create from Management …

In recent years the growth of internet applications has highlighted the limit of traditional data
model representation like UML. Ontologies are means of knowledge sharing and reuse and …

Ontology is an effective conceptualism commonly used for the semantic Web. Fuzzy logic
can be incorporated to ontology to represent uncertainty information. Typically, fuzzy …

Ontology is playing an increasingly important role in knowledge management and the
Semantic Web. This study presents a novel episode-based ontology construction …

In this paper, we study the interconnect design problem under a distributed RC delay model.
We study the impact of technology factors on the interconnect designs and present general …

In 1991, the DARPA Knowledge Sharing Effort ([88], p. 37) envisioned a new way to build
intelligent systems. It proposed the following: Building knowledge-based systems today …

This is an introduction to multicast routing, which is the study of methods for routing from one
source to many destinations, or from many sources to many destinations. Multicast is …

Online repositories are increasingly called on to provide access to services that describe or
provide useful behaviors. Existing techniques for finding services offer low retrieval …