most citedA Diversity-Aware Domain Development Methodology

3 citations · 6 across the 4 of their papers we have counts for

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cs.AI2024

From Knowledge Organization to Knowledge Representation and Back

Fausto Giunchiglia, Mayukh Bagchi, Subhashis Das

Knowledge Organization (KO) and Knowledge Representation (KR) have been the two mainstream methodologies of knowledge modelling in the Information Science community and the Artific…

cs.AI20243 cited

From Knowledge Representation to Knowledge Organization and Back

Fausto Giunchiglia, Mayukh Bagchi

Knowledge Representation (KR) and facet-analytical Knowledge Organization (KO) have been the two most prominent methodologies of data and knowledge modelling in the Artificial Inte…

cs.AI2023

Building Interoperable Electronic Health Records as Purpose-Driven Knowledge Graphs

Simone Bocca, Alessio Zamboni, Gabor Bella +5

When building a new application we are increasingly confronted with the need of reusing and integrating pre-existing knowledge. Nevertheless, it is a fact that this prior knowledge…

cs.AI20234 cited

Disentangling Domain Ontologies

Mayukh Bagchi, Subhashis Das

In this paper, we introduce and illustrate the novel phenomenon of Conceptual Entanglement which emerges due to the representational manifoldness immanent while incrementally model…

cs.AI20223 cited

A Diversity-Aware Domain Development Methodology

Mayukh Bagchi

The development of domain ontological models, though being a mature research arena backed by well-established methodologies, still suffer from two key shortcomings. Firstly, the is…

cs.AI2022

LiveSchema: A Gateway Towards Learning on Knowledge Graph Schemas

Mattia Fumagalli, Marco Boffo, Daqian Shi +2

One of the major barriers to the training of algorithms on knowledge graph schemas, such as vocabularies or ontologies, is the difficulty that scientists have in finding the best i…