research-article

An approach to ontology integration for ontology reuse in knowledge based digital ecosystems

Authors:

Enrico G. Caldarola,

Antonio Picariello,

Antonio M. RinaldiAuthors Info & Claims

MEDES '15: Proceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems

Pages 1 - 8

https://doi.org/10.1145/2857218.2857219

Published: 25 October 2015 Publication History

Abstract

In the last years, the large availability of information and knowledge models formalized by ontologies has demanded effective and efficient methodologies for reusing and integrating such models in global conceptualizations of a specific knowledge or application domain. The ability to effectively and efficiently perform knowledge reuse is a crucial factor in the development of ontologies, which are a potential solution to the problem of information standardization and a viaticum towards the realization of knowledge-based digital ecosystem. In this paper, an approach to ontology reuse based on heterogeneous matching techniques will be presented; in particular, we will show how the process of ontology building will be improved and simplified, by automating the selection and the reuse of existing data models to support the creation of digital ecosystems. The proposed approach has been applied to the food domain, specifically to food production.

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Cited By

Madani KRinaldi ARusso C(2021)A Semantic-Based Strategy to Model Multimedia Social NetworksTransactions on Large-Scale Data- and Knowledge-Centered Systems XLVII10.1007/978-3-662-62919-2_2(29-50)Online publication date: 17-Jan-2021
https://doi.org/10.1007/978-3-662-62919-2_2
Rinaldi ARusso CMadani K(2020)A Semantic Matching Strategy for Very Large Knowledge Bases IntegrationInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.202004010115:2(1-29)Online publication date: Apr-2020
https://doi.org/10.4018/IJITWE.2020040101
Rinaldi ARusso C(2020)Sharing Knowledge in Digital Ecosystems Using Semantic Multimedia Big DataTransactions on Large-Scale Data- and Knowledge-Centered Systems XLV10.1007/978-3-662-62308-4_5(109-131)Online publication date: 20-Sep-2020
https://doi.org/10.1007/978-3-662-62308-4_5
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MEDES '15: Proceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems

October 2015

271 pages

ISBN:9781450334808

DOI:10.1145/2857218

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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IFSP: Federal Institute of São Paulo

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Published: 25 October 2015

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MEDES '15: The 7th International Conference on Management of computational and collective IntElligence in Digital EcoSystems

October 25 - 29, 2015

Caraguatatuba, Brazil

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MEDES '15 Paper Acceptance Rate 13 of 64 submissions, 20%;

Overall Acceptance Rate 267 of 682 submissions, 39%

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Cited By

Madani KRinaldi ARusso C(2021)A Semantic-Based Strategy to Model Multimedia Social NetworksTransactions on Large-Scale Data- and Knowledge-Centered Systems XLVII10.1007/978-3-662-62919-2_2(29-50)Online publication date: 17-Jan-2021
https://doi.org/10.1007/978-3-662-62919-2_2
Rinaldi ARusso CMadani K(2020)A Semantic Matching Strategy for Very Large Knowledge Bases IntegrationInternational Journal of Information Technology and Web Engineering10.4018/IJITWE.202004010115:2(1-29)Online publication date: Apr-2020
https://doi.org/10.4018/IJITWE.2020040101
Rinaldi ARusso C(2020)Sharing Knowledge in Digital Ecosystems Using Semantic Multimedia Big DataTransactions on Large-Scale Data- and Knowledge-Centered Systems XLV10.1007/978-3-662-62308-4_5(109-131)Online publication date: 20-Sep-2020
https://doi.org/10.1007/978-3-662-62308-4_5
Zulkarnain NMeziane F(2019)A Methodology for Ontology ReuseInternational Journal of Intelligent Information Technologies10.4018/IJIIT.201910010115:4(1-21)Online publication date: Oct-2019
https://doi.org/10.4018/IJIIT.2019100101
Liu JLi YTian XSangaiah AWang J(2019)Towards Semantic Sensor Data: An Ontology ApproachSensors10.3390/s1905119319:5(1193)Online publication date: 8-Mar-2019
https://doi.org/10.3390/s19051193
Reginato CSalamon JNogueira GBarcellos MSouza VMonteiro M(2019)GO-FOR: A Goal-Oriented Framework for Ontology Reuse2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI)10.1109/IRI.2019.00028(99-106)Online publication date: Jul-2019
https://doi.org/10.1109/IRI.2019.00028
Azzi SIglewski MNabelsi V(2019)COMPETENCY QUESTIONS FOR BIOMEDICAL ONTOLOGY REUSEProcedia Computer Science10.1016/j.procs.2019.11.079160(362-368)Online publication date: 2019
https://doi.org/10.1016/j.procs.2019.11.079
Cavallo GDi Mauro FPasteris PSapino MCandan K(2019)Crowd Sourced Semantic Enrichment (CroSSE) for knowledge driven querying of digital resourcesJournal of Intelligent Information Systems10.1007/s10844-019-00559-8Online publication date: 25-Jul-2019
https://doi.org/10.1007/s10844-019-00559-8
Pinto VRinaldi A(2019)A configurational approach based on geographic information systems to support decision-making process in real estate domainSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3142-923:9(2853-2862)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/s00500-018-3142-9
Rinaldi ARusso CChbeir RIshikawa HSumiya KHatano KKoeppen M(2018)A semantic-based model to represent multimedia big dataProceedings of the 10th International Conference on Management of Digital EcoSystems10.1145/3281375.3281386(31-38)Online publication date: 25-Sep-2018
https://dl.acm.org/doi/10.1145/3281375.3281386
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