Graph-based partitioning of ontology with semantic similarity

Ghafourian, Soudabeh; Rezaeian, Amin; Naghibzadeh, Mahmoud

doi:10.1109/iccke.2013.6682869

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…Modularisation approaches e.g. [2,28,41] take as input a single ontology and return non-overlapping, consistent modules, which, if combined together, form the original ontology [28]. These methods are mainly based on logical and structural modularisation, and no additional insight about the content of the modules is provided, so that each module should be looked into in order to understand if it does satisfy a specific modelling requirement.…”

Section: Related Workmentioning

confidence: 99%

Empirical Ontology Design Patterns

Carriero

2024

Studies on the Semantic Web

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Section: Related Workmentioning

confidence: 99%

Empirical Ontology Design Patterns

Carriero

2024

Studies on the Semantic Web

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“…Ontology partitioning. Modularisation approaches e.g., [1,4,8] work on single ontologies and return nonoverlapping, consistent modules, that combined together form the original ontology [4]. They mainly focus on logical modularisation, and no additional insight about the modules is provided.…”

Section: Related Workmentioning

confidence: 99%

Extraction of common conceptual components from multiple ontologies

Asprino¹,

Carriero²,

Presutti³

2021

Preprint

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We describe a novel method for identifying and extracting conceptual components from domain ontologies, which are used to understand and compare them. The method is applied to two corpora of ontologies in the Cultural Heritage and Conference domain, respectively. The results, which show good quality, are evaluated by manual inspection and by correlation with datasets and tool performance from the ontology alignment evaluation initiative.

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“…Although existing approaches can be divided into several categories [7]- [9], here we chose to focus on module extraction and ontology partitioning techniques.…”

Section: Related Workmentioning

confidence: 99%

“…The mechanism is fully automatized and designed to work with different kinds of ontologies (from simple taxonomies to rich and complex OWL ontologies), and relies on inferences during the modularization process. In [9], users can extract a module from the original ontology according to a semantic query.…”

Section: Related Workmentioning

confidence: 99%

Partitioning of ontologies driven by a structure-based approach

Amato

Santo

Moscato

et al. 2015

Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)

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Abstract-In this paper, we propose a novel structure-based partitioning algorithm able to break a large ontology into different modules related to specific topics for the domain of interest. In particular, we leverage the topological properties of the ontology graph and exploit several techniques derived from Network Analysis to produce an efl'ective partitioning without considering any information about semantics of ontology relationships. An automated partitioning tool has been developed and several preliminary experiments have been conducted to validate the efl'ectiveness of our approach with respect to other techniques.

show abstract

Graph-based partitioning of ontology with semantic similarity

Cited by 8 publications

References 12 publications

Empirical Ontology Design Patterns

Empirical Ontology Design Patterns

Extraction of common conceptual components from multiple ontologies

Partitioning of ontologies driven by a structure-based approach

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