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Agent-OM: Leveraging LLM Agents for Ontology Matching
Proceedings of the VLDB Endowment, 2023Ontology matching (OM) enables semantic interoperability between different ontologies and resolves their conceptual heterogeneity by aligning related entities. OM systems currently have two prevailing design paradigms: conventional knowledge-based expert
Zhangcheng Qiang +2 more
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MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks
Knowledge Discovery and Data Mining, 2021Medical ontologies are widely used to describe and organize medical terminologies and to support many critical applications on healthcare databases. These ontologies are often manually curated (e.g., UMLS, SNOMED CT, and MeSH) by medical experts. Medical
Junheng Hao +8 more
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Efficient User Involvement in Semiautomatic Ontology Matching
IEEE Transactions on Emerging Topics in Computational Intelligence, 2021Semiautomatic ontology matching poses a new challenge of how to implement an efficient user interactions. To address this challenge, we answer three questions in this paper: (1) when should we activate the interacting process; (2) which correspondences ...
Xingsi Xue, Junfeng Chen, Xin Yao
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Collaborative ontology matching based on compact interactive evolutionary algorithm
Knowledge-Based Systems, 2017Xingsi Xue
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A segment-based approach for large-scale ontology matching
Knowledge and Information Systems, 2017Xingsi Xue +2 more
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Biomedical Ontology Matching Through Attention-Based Bidirectional Long Short-Term Memory Network
Journal of Database Management, 2021Biomedical ontology formally defines the biomedical entities and their relationships. However, the same biomedical entity in different biomedical ontologies might be defined in diverse contexts, resulting in the problem of biomedicine semantic ...
Xingsi Xue +3 more
semanticscholar +1 more source
Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication, 2015
Aligning ontology is the process that aims to make various sources of interoperable knowledge. This process is much needed in applications of the semantic web. The algorithms alignment design (mapping, matching) is a relatively new area of research. Manually, determining terms that are semantically close in different ontology is a laborious and error ...
Bochra Brahma, Allaoua Refoufi
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Aligning ontology is the process that aims to make various sources of interoperable knowledge. This process is much needed in applications of the semantic web. The algorithms alignment design (mapping, matching) is a relatively new area of research. Manually, determining terms that are semantically close in different ontology is a laborious and error ...
Bochra Brahma, Allaoua Refoufi
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Survey on complex ontology matching
Semantic Web, 2020. Simple ontology alignments, largely studied in the literature, link a single entity of a source ontology to a single entity of a target ontology. One of the limitations of these alignments is, however, their lack of expressiveness which can be overcome
Élodie Thiéblin +3 more
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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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Visual Analysis of Ontology Matching Results with the MELT Dashboard
Extended Semantic Web Conference, 2020In this demo, we introduce MELT Dashboard, an interactive Web user interface for ontology alignment evaluation which is created with the existing Matching EvaLuation Toolkit (MELT).
Jan Portisch +2 more
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