Partitioning of ontologies driven by a structure-based approach

F Amato; A De Santo; V Moscato; Fabio Persia; A Picariello; SR Poccia

doi:10.1109/ICOSC.2015.7050827

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Partitioning of ontologies driven by a structure-based approach

Conference proceeding

Peer reviewed

Partitioning of ontologies driven by a structure-based approach

F Amato, A De Santo, V Moscato, Fabio Persia, A Picariello and SR Poccia

2015 IEEE International Conference on Semantic Computing (ICSC 2015): Anaheim, California, USA, 7 - 9 February 2015, pp.320-323

9th IEEE International Conference on Semantic Computing (ICSC 2015) (Anaheim, CA, 07/02/2015 - 09/02/2015)

2014

DOI: https://doi.org/10.1109/ICOSC.2015.7050827

Handle:

https://hdl.handle.net/10863/33375

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 effective 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 effectiveness of our approach with respect to other techniques.

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Details

Title: Partitioning of ontologies driven by a structure-based approach
Creators: F Amato - University of Naples Federico II
A De Santo - University of Naples Federico II
V Moscato - University of Naples Federico II
Fabio Persia - University of Naples Federico II
A Picariello - University of Naples Federico II
SR Poccia - University of Naples Federico II
Publication Details: 2015 IEEE International Conference on Semantic Computing (ICSC 2015): Anaheim, California, USA, 7 - 9 February 2015, pp.320-323
Editor(s): Kankanhalli MS
ISBN: 9781479979356
EISBN: 9781479979363
Conference: 9th IEEE International Conference on Semantic Computing (ICSC 2015) (Anaheim, CA, 07/02/2015 - 09/02/2015)
Publisher: IEEE
Piscataway, NJ
Identifiers: 978-1-4799-7935-6
(UNIBZ)1543240
991006494075301241
Scopus ID: 2-s2.0-84925655099
Academic Unit: Faculty of Computer Science
Language: English
Resource Type: Conference proceeding
Author Names String: Amato F, De Santo A, Moscato V, Persia F, Picariello A, Poccia SR
Additional Description: Editors/Supervisors: Kankanhalli MS

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