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A Partition Based Framework for Large Scale Ontology Matching
, 2019Large amount of data coming from different sources and formats is available on the web which generates heterogeneity problem. Semantic web technologies play an important role for collecting, merging, matching and aggregating big data from heterogeneous
Archana Patel, Sarika Jain
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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.
Peter Ochieng, Swaib Kyanda
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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.
Peter Ochieng, Swaib Kyanda
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Ontology matching: A literature review
Expert Systems With Applications, 2015Lorena Otero-Cerdeira +2 more
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Ontology Matching using Neural Networks: Survey and Analysis
International Conference on Independent Component Analysis and Signal Separation, 2018Ontology matching is an effective method to establish interoperability between heterogeneous ontologies. Artificial neural networks are powerful computational models biologically inspired from human brain, and the way how they learn and process ...
Meriem Ali Khoudja +2 more
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Dynamic Ontology Matching Challenge. [PDF]
, 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 Skills ontologies such as ESCO and O*NET exist, but tend to get outdated soon, as the labour market changes quickly and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
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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 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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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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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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