Results 11 to 20 of about 821,533 (281)
Semantic matching in hierarchical ontologies
AbstractHierarchical ontologies play a key role in organizing documents in a repository. While matching the ontologies, the relationships among the concepts are considered to be a major aspect. In hierarchical ontologies, the concepts are associated with one another only through the “is-a” relation.
Sharifullah Khan, Muhammad Safyan
openaire +3 more sources
Performance assessment of ontology matching systems for FAIR data. [PDF]
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 ...
van Damme P +5 more
europepmc +2 more sources
Anatomy Ontology Matching Using Markov Logic Networks. [PDF]
The anatomy of model species is described in ontologies, which are used to standardize the annotations of experimental data, such as gene expression patterns.
Li C, Zhao P, Wu J, Cui Z.
europepmc +2 more sources
SAMBO results for the Ontology Alignment Evaluation Initiative 2007
This article describes a system for ontology alignment, SAMBO, and presents its results for the benchmark and anatomy tasks in the 2007 Ontology Alignment Evaluation Initiative.
Lambrix, Patrick,, Tan, He,
core +10 more sources
Definition of an Ontology Matching Algorithm for Context Integration in Smart Cities. [PDF]
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.
Otero-Cerdeira L +2 more
europepmc +2 more sources
Matching heterogeneous ontologies with adaptive evolutionary algorithm
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
doaj +1 more source
Automatic background knowledge selection for matching biomedical ontologies. [PDF]
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
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
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
doaj +1 more source
Matching Ontologies through Multi-Objective Evolutionary Algorithm with Relevance Matrix
The ultimate goal of semantic web (SW) is to implement mutual collaborations among ontology-based intelligent systems. To this end, it is necessary to integrate those domain-independent and cross-domain ontologies by finding the correspondences between ...
Hai Zhu, Xingsi Xue, Hongfeng Wang
doaj +1 more source

