Results 1 to 10 of about 103,296 (308)
A Community Network Ontology for Participatory Collaboration Mapping: Towards Collective Impact
Information, 2018 Addressing societal wicked problems requires collaboration across many different community networks. In order for community networks to scale up their collaboration and increase their collective impact, they require a process of inter-communal ...
Aldo de Moor
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Large Language Models in Bio-Ontology Research: A Review [PDF]
BioengineeringBiomedical ontologies are critical for structuring domain knowledge and enabling integrative analyses in the life sciences. Traditional ontology development is labor-intensive, requiring extensive expert curation.
Prashanti Manda
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Ontology- and LLM-based data harmonization for federated learning in healthcare [PDF]
Frontiers in Digital HealthIntroductionSemantic heterogeneity across electronic health records (EHRs) limits scalable and privacy-preserving analytics in healthcare. While federated learning (FL) enables collaborative modeling without sharing raw data, it requires consistent ...
Natallia Kokash +7 more
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Using Bayesian decision for ontology mapping [PDF]
Web Semantics, 2006 Ontology mapping is the key point to reach interoperability over ontologies. In semantic web environment, ontologies are usually distributed and heterogeneous and thus it is necessary to find the mapping between them before processing across them. Many efforts have been conducted to automate the discovery of ontology mapping. However, some problems are
Juanzi Li
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Applied Sciences, 2021 The ontology-based information systems (IS) development is beneficial for analyzing, conceptual modeling, designing, and re-engineering complex IS to be semantically enriched and suitable for sophisticated reasoning on the IS content.
Diana Kalibatiene, Jolanta Miliauskaitė
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Novel similarity calculation method of multisource ontology based on graph convolution network
网络与信息安全学报, 2021 In the information age, the amount of data is growing exponentially.However, different data sources are heterogeneous, which makes it inconvenient to share and multiplex data.With the rapid development of semantic network, ontology mapping is an ...
Liuqian SUN, Yuliang WEI, Bailing WANG
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Research on Ontology Mapping Method Based on Maximum Common Sub-graph [PDF]
Jisuanji gongcheng, 2017 Ontology mapping is aimed to establish the semantic relationship of the elements between the two ontologies, and the key to affect the ontology mapping is the method of calculating the similarity. In order to solve the imprecise semantic relation problem
GUO Zhuwei,LIU Shengquan,LIU Yan,ZHAO Meiling,FU Xianzhe
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Data & Knowledge Engineering, 2015 Data translation consists of the task of moving data from a source database to a target database. This task is usually performed by developing mappings, i.e. executable transformations from the source to the target schema. However, a richer description of the target database semantics may be available in the form of an ontology.
Mecca, Giansalvatore +3 more
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A Review of Accessing Big Data with Significant Ontologies
Knowledge Engineering and Data Science, 2020 Ontology Based Data Access (OBDA) is a recently proposed approach which is able to provide a conceptual view on relational data sources. It addresses the problem of the direct access to big data through providing end-users with an ontology that goes ...
Jumah Y.J Sleeman +1 more
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Representing and Validating Cultural Heritage Knowledge Graphs in CIDOC-CRM Ontology
Future Internet, 2021 In order to unify access to multiple heterogeneous sources of cultural heritage data, many datasets were mapped to the CIDOC-CRM ontology. CIDOC-CRM provides a formal structure and definitions for most cultural heritage concepts and their relationships ...
Ghazal Faraj, András Micsik
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