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On the Ontology Instance Matching Problem
2008 19th International Conference on Database and Expert Systems Applications, 2008Most 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
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Ontology and Instance Matching
2011The 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
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Proceedings of the 3rd international conference on Knowledge capture, 2005
Abstract: Managing multiple ontologies is now a core question in most of the applications that require semantic interoperability. The semantic web is surely the most significant application of this report: the current challenge is not to design, develop and deploy domain ontologies but to define semantic correspondences among multiple ontologies ...
Trichet, Francky, Furst, Frederic
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Abstract: Managing multiple ontologies is now a core question in most of the applications that require semantic interoperability. The semantic web is surely the most significant application of this report: the current challenge is not to design, develop and deploy domain ontologies but to define semantic correspondences among multiple ontologies ...
Trichet, Francky, Furst, Frederic
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Geographic Ontology Matching with iG-Match
2007To 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
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Semantic Enrichment in Ontologies for Matching
International Journal on Semantic Web and Information Systems, 2006Matching between heterogeneous ontologies becomes crucial for interoperability in distributed and intelligent environments. Although many efforts in ontology mapping have already been conducted, most of them rely heavily on the meaning of entity names, rather than the semantics defined in ontologies.
Nwe Ni Tun, Satoshi Tojo
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Ontology Matching with Word Embeddings
2014Ontology matching is one of the most important work to achieve the goal of the semantic web. To fulfill this task, element-level matching is an indispensable step to obtain the fundamental alignment. In element-level matching process, previous work generally utilizes WordNet to compute the semantic similarities among elements, but WordNet is limited by
Yuanzhe Zhang +6 more
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The AgreementMakerLight Ontology Matching System
2013AgreementMaker is one of the leading ontology matching systems, thanks to its combination of a flexible and extensible framework with a comprehensive user interface. In many domains, such as the biomedical, ontologies are becoming increasingly large thus presenting new challenges.
Daniel Faria +5 more
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Ontology Matching across Domains
2012Ontologies 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
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Biomedical Ontology Matching as a Service
2014Ontology matching is among the core techniques used for integration and interoperability resolution between biomedical systems. However, due to the excess usage and ever-evolving nature of biomedical data, ontologies are becoming large-scale, and complex; consequently, requiring scalable computational environments with performance and availability in ...
Muhammad Bilal Amin +3 more
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Dynamic Ontology Matching Challenge.
2023The 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
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