Results 31 to 40 of about 689,318 (241)

MultiFarm: A benchmark for multilingual ontology matching [PDF]

, 2012
In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments between
Svátek, Vojtěch, Stuckenschmidt, H., Wang, Shenghui Shenghui, Wang, Shenghui, Meilicke, C., Meilicke, Christian, van Hage, W.R., Ribeiro de Azevedo, Ryan, García Castro, Raúl, Montiel Ponsoda, Elena, Azevedo, Ryan Ribeiro de, Šváb-Zamazal, Ondřej, Tamalin, A., Freitas, Fred, Trojahn, Cássia, Trojahn dos Santos, Cassia, García-Castro, Raúl, Montiel-Ponsoda, E., Montiel-Ponsoda, Elena, van Hage, Willem Robert, Ribeiro de Azevedo, R., Stuckenschmidt, Heiner, Wang, S., Freitas, F., Freitas, Frederico, Tamilin, Andrei, Svatek, V., Hage, Willem Robert van, Svab-Zamazal, O., Robert van Hage, Willem, García-Castro, R.   +30 more
core   +1 more source

Ontology Alignment Repair Through 0-1 Programming

IEEE Access, 2019
In order to solve the problem of lack of effective methods for ontology inconsistency, a user preferences-oriented ontology alignment repair model is proposed.
Wenning Hao, Junyue Chen, Gang Chen, Ruizhi Kang, Zixuan Zhang, Ao Zou   +5 more
doaj   +1 more source

Ontology Alignment Repair through Modularization and Confidence-Based Heuristics.

PLoS ONE, 2015
Ontology Matching aims at identifying a set of semantic correspondences, called an alignment, between related ontologies. In recent years, there has been a growing interest in efficient and effective matching methods for large ontologies.
Emanuel Santos, Daniel Faria, Catia Pesquita, Francisco M Couto   +3 more
doaj   +1 more source

DAEOM: A Deep Attentional Embedding Approach for Biomedical Ontology Matching

Applied Sciences, 2020
Ontology Matching (OM) is performed to find semantic correspondences between the entity elements of different ontologies to enable semantic integration, reuse, and interoperability.
Jifang Wu, Jianghua Lv, Haoming Guo, Shilong Ma   +3 more
doaj   +1 more source

Solving Ontology Meta-Matching Problem Through an Evolutionary Algorithm With Approximate Evaluation Indicators and Adaptive Selection Pressure

IEEE Access, 2021
Ontology applies commonly to solve the problem of heterogeneity of data in the Semantic Web, but the heterogeneity problem between two ontologies seriously affects their communication.
Qing Lv, Chengcai Jiang, He Li
doaj   +1 more source

Ontology Alignment for Accurate Ontology Matching: A Survey

, 2023
AbstractEdge computing, a distributed computing architecture within the knowledge-defined network (KDN), faces challenges due to the significant disparities and data heterogeneity among its nodes, hindering their interaction. Ontology, a solution within the Semantic Web, is well-suited for addressing data heterogeneity and matching ontologies ...
Hasham Khan, Muhammad Saqib, Hasan Ali Khattak, Syed Imran Ali, Sungyoung Lee 0001   +4 more
openaire   +1 more source

Assessing Ontology Mappings on a Level of Concepts and Instances

IEEE Access, 2020
In recent years, the number of domain ontologies on the Internet has been steadily increasing. Many ontologies describe overlapping universes of discourse in various ways, therefore, the need for an efficient ontology alignment method is required ...
Marcin Pietranik, Adrianna Kozierkiewicz, Mateusz Wesolowski   +2 more
doaj   +1 more source

An API for Ontology Alignment [PDF]

, 2004
Ontologies are seen as the solution to data heterogeneity on the web. However, the available ontologies are themselves source of heterogeneity. This can be overcome by aligning ontologies, or finding the correspondence between their components. These alignments deserve to be treated as objects: they can be referenced on the web as such, be completed by
openaire   +2 more sources

Using Partial Reference Alignments to Align Ontologies [PDF]

, 2009
In different areas ontologies have been developed and many of these ontologies contain overlapping information. Often we would therefore want to be able to use multiple ontologies. To obtain good results, we need to find the relationships between terms in the different ontologies, i.e. we need to align them.
Patrick Lambrix, Qiang Liu 0002
openaire   +2 more sources

Using NSGA-III for optimising biomedical ontology alignment

CAAI Transactions on Intelligence Technology, 2019
To support semantic inter-operability between the biomedical information systems, it is necessary to determine the correspondences between the heterogeneous biomedical concepts, which is commonly known as biomedical ontology matching. Biomedical concepts
Xingsi Xue, Jiawei Lu, Jiawei Lu, Junfeng Chen   +3 more
doaj   +1 more source