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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
semanticscholar +1 more source
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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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
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
semanticscholar +1 more source
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
semanticscholar +1 more source
A learning style-based Ontology Matching to enhance learning resources recommendation
2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), 2020Content-based recommender systems (CBRS) are widely used in various domains including the E-leaning. In the E-learning field, a content-based recommender system aims to represent and extract the knowledge about learners and the learning materials to ...
Ouafae El Aissaoui, L. Oughdir
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An optimized system for sensor ontology meta‐matching using swarm intelligent algorithm
Internet Technology LettersIt is beneficial to annotate sensor data with distinct sensor ontologies in order to facilitate interoperability among different sensor systems. However, for this interoperability to be possible, comparable sensor ontologies are required since it is ...
S. AbdulLateefHaroonP. +4 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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