Results 1 to 10 of about 38,633 (261)
Interactive biomedical ontology matching. [PDF]
PLoS ONE, 2019 Due to continuous evolution of biomedical data, biomedical ontologies are becoming larger and more complex, which leads to the existence of many overlapping information.
Xingsi Xue, Zhi Hang, Zhengyi Tang
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Performance assessment of ontology matching systems for FAIR data [PDF]
Journal of Biomedical Semantics, 2022 Background Ontology matching should contribute to the interoperability aspect of FAIR data (Findable, Accessible, Interoperable, and Reusable). Multiple data sources can use different ontologies for annotating their data and, thus, creating the need for ...
Philip van Damme +5 more
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Ontology Matching with Semantic Verification. [PDF]
Web Semant, 2009 ASMOV (Automated Semantic Matching of Ontologies with Verification) is a novel algorithm that uses lexical and structural characteristics of two ontologies to iteratively calculate a similarity measure between them, derives an alignment, and then verifies it to ensure that it does not contain semantic inconsistencies.
Jean-Mary YR +2 more
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Anatomy Ontology Matching Using Markov Logic Networks [PDF]
Scientifica, 2016 The anatomy of model species is described in ontologies, which are used to standardize the annotations of experimental data, such as gene expression patterns.
Chunhua Li +3 more
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Definition of an Ontology Matching Algorithm for Context Integration in Smart Cities [PDF]
Sensors, 2014 In this paper we describe a novel proposal in the field of smart cities: using an ontology matching algorithm to guarantee the automatic information exchange between the agents and the smart city.
Lorena Otero-Cerdeira +2 more
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Foundational ontologies meet ontology matching: A survey
Semantic Web, 2022 Ontology matching is a research area aimed at finding ways to make different ontologies interoperable. Solutions to the problem have been proposed from different disciplines, including databases, natural language processing, and machine learning. The role of foundational ontologies for ontology matching is an important one, as they provide a well ...
Trojahn, Cassia +4 more
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Matching heterogeneous ontologies with adaptive evolutionary algorithm
Connection Science, 2022 An ontology provides a formal description on the domain concepts and their relationships. Due to the subjectivity of ontology engineers, one concept might be expressed in various ways, yielding the so-called ontology heterogeneity problem, and ontology ...
Xingsi Xue +4 more
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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
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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
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Complex & Intelligent Systems, 2022 Sensor ontology is a standard conceptual model that describes information of sensor device, which includes the concepts of various sensor modules and the relationships between them.
Aifeng Geng, Qing Lv
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