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Scalable ontology matching

2014 Iranian Conference on Intelligent Systems (ICIS), 2014
Ontology matching is a solution for managing heterogeneous information. Various methods have been proposed for matching problem. But matching large ontologies is a challenge yet. In this paper scalable ontology matching based on partitioning is proposed. The proposed method is consisted of three stages.
Vahideh Zolfaghari, Mehradad Jalali
openaire   +1 more source

Ontology and Instance Matching

2011
The growing need of sharing data and digital resources within and across organizations has produced a novel attention on issues related to ontology and instance matching. After an introductory classification of the main techniques and tools for ontology matching, the chapter focuses on instance matching by providing an accurate classification of the ...
S. Castano   +3 more
openaire   +2 more sources

VersaMatch: Ontology Matching with Weak Supervision

Proceedings of the VLDB Endowment, 2023
Ontology matching is crucial to data integration for across-silo data sharing and has been mainly addressed with heuristic and machine learning (ML) methods. While heuristic methods are often inflexible and hard to extend to new domains, ML methods rely on substantial and hard to obtain amounts of labeled training data.
Fürst, Jonathan   +2 more
openaire   +1 more source

Towards Effective Geographic Ontology Matching

2007
The integration and matching of geographic ontologies is a field in which many efforts are being employed. There are many proposals, addressing a diversity of features, both at the concept as at the instance-level. In order to make clear the issues that are involved in the matching process, in this paper we present the formal definition of the ...
G. N. Hess   +3 more
openaire   +2 more sources

Large-Scale Ontology Matching

ACM Computing Surveys, 2018
Ontologies have become a popular means of knowledge sharing and reuse. This has motivated the development of large-sized independent ontologies within the same or different domains with some overlapping information among them. To integrate such large ontologies, automatic matchers become an inevitable solution.
Peter Ochieng, Swaib Kyanda
openaire   +1 more source

Geographic Ontology Matching with iG-Match

2007
To achieve accurate results when matching geographic ontologies, it is important to have clear what has to be compared, and just then start comparing them. In this paper we define a geographic ontology reference model and, from it, the set of heterogeneities that may occur when comparing two geographic ontologies is elaborated, at both the concept and ...
Guillermo Nudelman Hess   +2 more
openaire   +1 more source

Secured Ontology Matching Using Graph Matching

2013
Today’s market evolution and high volatility of business requirements put an increasing emphasis on the ability for systems to accommodate the changes required by new organizational needs while maintaining security objectives satisfiability. This is all the more true in case of collaboration and interoperability between different organizations and thus
K. Manjula Shenoy   +2 more
openaire   +1 more source

Ontology Matching across Domains

2012
Ontologies are often used to annotate information (metadata) that is passed between domains during negotiation. In that sense, Ontology matching is critical for the receiving domain to gather the correct meaning of the data, and hence critical for interoperability.
Renato Levy   +4 more
openaire   +1 more source

Dynamic Ontology Matching Challenge

2023
The labour market is currently heavily struggling with friction in demand and supply. Skills-based approaches deliver promising results. These approaches ask for a common and up-to-date skills language to achieve their full potential. Skills ontologies such as ESCO and O*NET exist, but tend to get outdated soon, as the labour market changes quickly and
Boer, M.H.T. De   +2 more
openaire   +1 more source

On the Ontology Instance Matching Problem

2008 19th International Conference on Database and Expert Systems Applications, 2008
Most of the existing work on ontology matching is focused at the schema level, while, at the time being, instance-level matching techniques are only marginally considered. In this paper, we address the problem of ontology instance matching by providing a reference definition and by discussing key requirements and possible application fields.
S. Castano   +3 more
openaire   +1 more source

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