Results 41 to 50 of about 1,038,617 (321)
Dealing with uncertain entities in ontology alignment using rough sets [PDF]
, 2012 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2012 IEEE. Personal use of this material is permitted.
Alireza Mousavi +4 more
core +1 more source
A Compact Brain Storm Algorithm for Matching Ontologies
IEEE Access, 2020 An ontology can formally present the domain knowledge by specifying the domain concepts and their relationships, which is a kernel technique for addressing the data heterogeneity issue in the semantic web. However, since existing ontologies are developed
Xingsi Xue, Jiawei Lu
doaj +1 more source
A formal foundation for ontology alignment interaction models [PDF]
, 2007 Ontology alignment foundations are hard to find in the literature. The abstract nature of the topic and the diverse means of practice makes it difficult to capture it in a universal formal foundation.
attencia, Manuel +2 more
core +2 more sources
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 +5 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 +3 more
doaj +1 more source
Evaluating and comparing ontology alignment systems: An MCDM approach
Journal of Web Semantics, 2020 Ontology alignment is vital in Semantic Web technologies with numerous applications in diverse disciplines. Due to diversity and abundance of ontology alignment systems, a proper evaluation can portray the evolution of ontology alignment and depicts the ...
M. Mohammadi, J. Rezaei
semanticscholar +1 more source
Matching sensor ontologies through siamese neural networks without using reference alignment [PDF]
PeerJ Computer Science, 2021 Sensors have been growingly used in a variety of applications. The lack of semantic information of obtained sensor data will bring about the heterogeneity problem of sensor data in semantic, schema, and syntax levels.
Xingsi Xue +4 more
doaj +2 more sources
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 +2 more
doaj +1 more source
The Enslaved Dataset: A Real-world Complex Ontology Alignment Benchmark using Wikibase
International Conference on Information and Knowledge Management, 2020 Ontology alignment has taken a critical place for helping heterogeneous resources to interoperate. It has been studied for over a decade, and over that time many alignment systems and methods have been developed by researchers to find simple 1:1 ...
Lu Zhou +7 more
semanticscholar +1 more source
Discrete Dynamics in Nature and Society, 2020 Nowadays, most real-world decision problems consist of two or more incommensurable or conflicting objectives to be optimized simultaneously, so-called multiobjective optimization problems (MOPs).
Xingsi Xue, Xiaojing Wu, Junfeng Chen
semanticscholar +1 more source