Results 31 to 40 of about 1,174,184 (329)
Matching Weak Informative Ontologies [PDF]
arXiv, 2023 Most existing ontology matching methods utilize the literal information to discover alignments. However, some literal information in ontologies may be opaque and some ontologies may not have sufficient literal information. In this paper, these ontologies
Wang, Peng
core +1 more source
Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service [PDF]
Information, 2018 Ontology matching is an essential problem in the world of Semantic Web and other distributed, open world applications. Heterogeneity occurs as a result of diversity in tools, knowledge, habits, language, interests and usually the level of detail ...
Sotirios Karampatakis +4 more
doaj +2 more sources
OLaLa: Ontology Matching with Large Language Models [PDF]
International Conference on Knowledge Capture, 2023 Ontology (and more generally: Knowledge Graph) Matching is a challenging task where information in natural language is one of the most important signals to process. With the rise of Large Language Models, it is possible to incorporate this knowledge in a
S. Hertling, Heiko Paulheim
semanticscholar +1 more source
OM4OV: Leveraging Ontology Matching for Ontology Versioning [PDF]
arXivDue to the dynamic nature of the semantic web, ontology version control is required to capture time-varying information, most importantly for widely-used ontologies. Despite the long-standing recognition of ontology versioning (OV) as a crucial component for efficient ontology management, the growing size of ontologies and accumulating errors caused by
Qiang, Zhangcheng +2 more
openaire +3 more sources
The Evaluation of Ontology Matching versus Text [PDF]
Informatică economică, 2010 Lately, the ontologies have become more and more complex, and they are used in different domains. Some of the ontologies are domain independent; some are specific to a domain.
Andreea-Diana MIHIS
core +1 more source
Background knowledge in ontology matching: A survey
Semantic Web, 2022 Ontology matching is an integral part for establishing semantic interoperability. One of the main challenges within the ontology matching operation is semantic heterogeneity, i.e. modeling differences between the two ontologies that are to be integrated.
Jan Portisch, M. Hladik, Heiko Paulheim
semanticscholar +1 more source
Deep Embedding Learning With Auto-Encoder for Large-Scale Ontology Matching
International Journal on Semantic Web and Information Systems (IJSWIS), 2022 Ontology matching is an efficient method to establish interoperability among heterogeneous ontologies. Large-scale ontology matching still remains a big challenge for its long time and large memory space consumption.
Meriem Ali Khoudja +2 more
semanticscholar +1 more source
Automatic background knowledge selection for matching biomedical ontologies. [PDF]
PLoS ONE, 2014 Ontology matching is a growing field of research that is of critical importance for the semantic web initiative. The use of background knowledge for ontology matching is often a key factor for success, particularly in complex and lexically rich domains ...
Daniel Faria +4 more
doaj +1 more source
Integrating Sensor Ontologies with Niching Multi-Objective Particle Swarm Optimization Algorithm
Sensors, 2023 Sensor ontology provides a standardized semantic representation for information sharing between sensor devices. However, due to the varied descriptions of sensor devices at the semantic level by designers in different fields, data exchange between sensor
Yucheng Zhuang, Yikun Huang, Wenyu Liu
doaj +1 more source
Ontology Matching: State of the Art, Future Challenges, and Thinking Based on Utilized Information
IEEE Access, 2021 Information used in existing ontology matching solutions are usually grouped into four categories: lexical information, structural information, semantic information, and external information, respectively.
Xiulei Liu +3 more
semanticscholar +1 more source