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Methodology for Biomedical Ontology Matching
2019This paper introduces a dissertation project in the field of ontology matching. Ontology matching plays an important role in integration of various systems or in connecting data which use different ontologies. One of the domains where different ontologies are used and where large amount of data is being continuously generated is biomedicine.
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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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Matching weak informative ontologies
Science China Information Sciences, 2021Peng Wang 0004, Baowen Xu
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Metaheuristics-based ontology meta-matching approaches
Expert Systems With Applications, 2021Jairo FRANCISCO De Souza +2 more
exaly
Instance Matching for Ontology Population.
2008In the context of ontology evolution, ontology population is the activity of acquiring new semantic descriptions of data extracted from heterogeneous data sources. To this end, the capability of comparing several instances extracted from different sources is crucial.
S. Castano +3 more
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2008
Underlying heterogeneous systems, multiple ontologies are created that describe same or overlapping domains. Software agents (or tools in general) need to learn how to translate between such related ontologies. Only then will they be able to exploit the information from various sources simultaneously.
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Underlying heterogeneous systems, multiple ontologies are created that describe same or overlapping domains. Software agents (or tools in general) need to learn how to translate between such related ontologies. Only then will they be able to exploit the information from various sources simultaneously.
openaire +2 more sources
A framework for evaluating ontology meta-matching approaches
Journal of Intelligent Information Systems, 2020Jairo FRANCISCO De Souza +2 more
exaly
An ontology matching approach for semantic modeling: A case study in smart cities
Computational Intelligence, 2022Jerry Chun-Wei Lin +2 more
exaly

