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Using ontologies is the standard way to achieve interoperability of heterogeneous systems within the Semantic web. However, as the ontologies underlying two systems are not necessarily compatible, they may in turn need to be aligned. Similarity-based approaches to alignment seems to be both powerful and flexible enough to match the expressive power of ...
Jérôme Euzenat +3 more
openalex +3 more sources
Reasoning with a Network of Aligned Ontologies [PDF]
In the context of the Semantic Web or semantic peer to peer systems, many ontologies may exist and be developed independently. Ontology alignments help integrating, mediating or reasoning with a system of networked ontologies. Though different formalisms have already been defined to reason with such systems, they do not consider ontology alignments as ...
Zimmermann, Antoine, Le Duc, Chan
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Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules [PDF]
Large ontologies still pose serious challenges to state-of-the-art ontology alignment systems. In this paper we present an approach that combines a neural embedding model and logic-based modules to accurately divide an input ontology matching task into ...
Agibetov, A. +4 more
core +2 more sources
Hybridizing Fuzzy String Matching and Machine Learning for Improved Ontology Alignment
Ontology alignment has become an important process for identifying similarities and differences between ontologies, to facilitate their integration and reuse.
Mohammed Suleiman Mohammed Rudwan +1 more
doaj +1 more source
Arguing over ontology alignments
In open and dynamic environments, agents will usually differ in the domain ontologies they commit to and their perception of the world. The availability of Alignment Services, that are able to provide correspondences between two ontologies, is only a partial solution to achieving interoperability between agents, because any given candidate set of ...
Loredana Laera +4 more
+6 more sources
Processing ontology alignments with SPARQL [PDF]
Solving problems raised by heterogeneous ontologies can be achieved by matching the ontologies and processing the resulting alignments. This is typical of data mediation in which the data must be translated from one knowledge source to another . We propose to solve the data translation problem, i.e. the processing part, using the SPARQL query language.
François Scharffe +2 more
openaire +5 more sources
Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm
The development of intelligent transportation systems (ITSs) faces the challenge of integrating data from multiple unrelated sources. As one of the core technologies of knowledge integration in ITS, an ontology typically provides a normative definition ...
Xingsi Xue +5 more
doaj +1 more source
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
FOntCell: Fusion of Ontologies of Cells
High-throughput cell-data technologies such as single-cell RNA-seq create a demand for algorithms for automatic cell classification and characterization. There exist several cell classification ontologies with complementary information.
Javier Cabau-Laporta +10 more
doaj +1 more source
Ontology Alignment with FOAM++ [PDF]
The rapid use of ontology in distributed systems as a knowledge representation mechanism, has led to a demand for ontology alignment process due to the heterogeneity arising between two or more ontology describing the same domain. Although many alignments tools have been proposed to reinforce the interoperability between different ontologies, most of ...
AbdulHameed Haddad, Akram Selah
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