Results 21 to 30 of about 1,038,617 (321)
Optimizing Ontology Alignment through Improved NSGA-II
Over the past decades, a large number of complex optimization problems have been widely addressed through multiobjective evolutionary algorithms (MOEAs), and the knee solutions of the Pareto front (PF) are most likely to be fitting for the decision maker
Yikun Huang, Xingsi Xue, Chao Jiang
doaj +2 more sources
BERTMap: A BERT-Based Ontology Alignment System [PDF]
Ontology alignment (a.k.a ontology matching (OM)) plays a critical role in knowledge integration. Owing to the success of machine learning in many domains, it has been applied in OM. However, the existing methods, which often adopt ad-hoc feature engineering or non-contextual word embeddings, have not yet outperformed rule-based systems especially in ...
He, Y +3 more
openaire +3 more sources
Evaluating ontology alignment methods [PDF]
Many different methods have been designed for aligning ontologies. These methods use such different techniques that they can hardly be compared theoretically. Hence, it is necessary to compare them on common tests.
Euzenat, Jerome +1 more
core +5 more sources
Ontology alignment through argumentation [PDF]
Currently, the majority of matchers are able to establish simple correspondences between entities, but are not able to provide complex alignments. Furthermore, the resulting alignments do not contain additional information on how they were extracted ...
Luz, Nuno +3 more
core +2 more sources
TOWARDS THE AUTOMATIC ONTOLOGY GENERATION AND ALIGNMENT OF BIM AND GIS DATA FORMATS [PDF]
Establishing semantic interoperability between BIM and GIS is vital for geospatial information exchange. Semantic web have a natural ability to provide seamless semantic representation and integration among the heterogeneous domains like BIM and GIS ...
A. U. Usmani, M. Jadidi, G. Sohn
doaj +1 more source
Exploring Large Language Models for Ontology Alignment [PDF]
This work investigates the applicability of recent generative Large Language Models (LLMs), such as the GPT series and Flan-T5, to ontology alignment for identifying concept equivalence mappings across ontologies.
Yuan He +3 more
semanticscholar +1 more source
Ontology Alignment Method Based on Self-attention [PDF]
With the development of knowledge graph in the field of artificial intelligence,there is an increasing demand to integrate knowledge graph from different sources to obtain a big knowledge graph with wider coverage.Ontology is the superstructure that can ...
WU Zi-yi, LI Shao-mei, JIANG Meng-han, ZHANG Jian-peng
doaj +1 more source
Conversational Ontology Alignment with ChatGPT [PDF]
This study evaluates the applicability and efficiency of ChatGPT for ontology alignment using a naive approach. ChatGPT's output is compared to the results of the Ontology Alignment Evaluation Initiative 2022 campaign using conference track ontologies ...
Sanaz Saki Norouzi +2 more
semanticscholar +1 more source
Truveta Mapper: A Zero-shot Ontology Alignment Framework [PDF]
In this paper, a new perspective is suggested for unsupervised Ontology Matching (OM) or Ontology Alignment (OA) by treating it as a translation task.
Mariyam Amir +6 more
semanticscholar +1 more source
Matching sensor ontologies with unsupervised neural network with competitive learning [PDF]
Sensor ontologies formally model the core concepts in the sensor domain and their relationships, which facilitates the trusted communication and collaboration of Artificial Intelligence of Things (AIoT).
Xingsi Xue, Haolin Wang, Wenyu Liu
doaj +2 more sources

