Challenges, evaluation and opportunities for open-world learning
Environmental changes can profoundly impact the performance of artificial intelligence
systems operating in the real world, with effects ranging from overt catastrophic failures to …
systems operating in the real world, with effects ranging from overt catastrophic failures to …
An overview of methods and tools for ontology learning from texts
A Gómez-Pérez, D Manzano-Macho - The knowledge engineering …, 2004 - cambridge.org
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 …
process. In recent years, several methods and tools have been proposed to speed up this …
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 …
Ontology learning and its application to automated terminology translation
Our OntoLearn system is an infrastructure for automated ontology learning from domain text.
It is the only system, as far as we know, that uses natural language processing and machine …
It is the only system, as far as we know, that uses natural language processing and machine …
Ontology learning
Ontology Learning greatly facilitates the construction of ontologies by the ontology engineer.
The notion of ontology learning that we propose here includes a number of complementary …
The notion of ontology learning that we propose here includes a number of complementary …
[ΒΙΒΛΙΟ][B] Ontology learning and population: bridging the gap between text and knowledge
P Buitelaar, P Cimiano - 2008 - books.google.com
The promise of the Semantic Web is that future web pages will be annotated not only with
bright colors and fancy fonts as they are now, but with annotation extracted from large …
bright colors and fancy fonts as they are now, but with annotation extracted from large …
CRCTOL: A semantic‐based domain ontology learning system
Abstract Domain ontologies play an important role in supporting knowledge‐based
applications in the Semantic Web. To facilitate the building of ontologies, text mining …
applications in the Semantic Web. To facilitate the building of ontologies, text mining …
Emergent semantics principles and issues
Abstract Information and communication infrastructures underwent a rapid and extreme
decentralization process over the past decade: From a world of statically and partially …
decentralization process over the past decade: From a world of statically and partially …
Vital text analytics system for the enhancement of requirements engineering documents and other documents
IIGH Monk, J Miller, DA Gooding, W Cowart… - US Patent …, 2017 - Google Patents
Abstract A Vital Text Analytics System (VTAS), incorporating a repository of enterprise terms
or concepts, is one that improves the readability and fidelity of technical specifications …
or concepts, is one that improves the readability and fidelity of technical specifications …
[PDF][PDF] Knowledge graphs and COVID-19: opportunities, challenges, and implementation
M Kejriwal - Harv. Data Sci. Rev, 2020 - assets.pubpub.org
The COVID-19 pandemic has been truly global and multidimensional in scope, with
ramifications extending well beyond health. Yet, unlike previous crises, there is hope that …
ramifications extending well beyond health. Yet, unlike previous crises, there is hope that …