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Automatically changing modules in modular ontology development and management

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dc.contributor.author Dawood, Zubeida C
dc.contributor.author Keet, CM
dc.date.accessioned 2017-12-14T12:02:20Z
dc.date.available 2017-12-14T12:02:20Z
dc.date.issued 2017-09
dc.identifier.citation Khan, Z.C. and Keet, C.M. 2017. Automatically changing modules in modular ontology development and management. Annual Conference of the South African Institute of Computer Scientists and Information Technologists (SAICSIT 2017), 26-28 September 2017, Thaba Nchu, South Africa en_US
dc.identifier.isbn 978-1-4503-5250-5
dc.identifier.uri https://dl.acm.org/citation.cfm?id=3129443
dc.identifier.uri http://www.meteck.org/files/ModuleSwapSAICSIT17.pdf
dc.identifier.uri http://hdl.handle.net/10204/9875
dc.description Copyright: 2017 ACM. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. en_US
dc.description.abstract Modularity has been proposed as a solution to deal with large ontologies. This requires, various module management tasks, such as swapping an outdated module for a new one or a computationally costly one for a leaner fragment. No mechanism exists to exchange an arbitrary module automatically. To solve this manual task, we modify the SUGOI algorithm into SUGOI-Gen; with SUGOI-Gen, one can swap any module within a modular system, implemented it, and wrapped a GUI around it. We carried out an experimental evaluation with six ontologies covering three different use-cases to determine whether arbitrary interchangeability is practically doable, and to what extent such changes affect the quality of the module and automated reasoning over it. The results are positive, with the success rate varying between 22-100% depending on the number of mappings between the source and target module. The evaluation also revealed that the interchangeability does indeed have an impact on a module’s metrics. Regarding reasoning, when comparing an original ontology to one where a module has been swapped, the processing time is greatly improved for all except one of the swapped modules in the set. en_US
dc.language.iso en en_US
dc.publisher ACM Digital Library en_US
dc.relation.ispartofseries Worklist;19922
dc.subject Modularity en_US
dc.subject Modularisation en_US
dc.subject Module en_US
dc.subject Ontology metrics en_US
dc.subject Ontology en_US
dc.subject Interchangeability en_US
dc.subject Reasoning en_US
dc.subject Computing methodologies en_US
dc.title Automatically changing modules in modular ontology development and management en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Khan, Z. C., & Keet, C. (2017). Automatically changing modules in modular ontology development and management. ACM Digital Library. http://hdl.handle.net/10204/9875 en_ZA
dc.identifier.chicagocitation Khan, Zubeida C, and CM Keet. "Automatically changing modules in modular ontology development and management." (2017): http://hdl.handle.net/10204/9875 en_ZA
dc.identifier.vancouvercitation Khan ZC, Keet C, Automatically changing modules in modular ontology development and management; ACM Digital Library; 2017. http://hdl.handle.net/10204/9875 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Khan, Zubeida C AU - Keet, CM AB - Modularity has been proposed as a solution to deal with large ontologies. This requires, various module management tasks, such as swapping an outdated module for a new one or a computationally costly one for a leaner fragment. No mechanism exists to exchange an arbitrary module automatically. To solve this manual task, we modify the SUGOI algorithm into SUGOI-Gen; with SUGOI-Gen, one can swap any module within a modular system, implemented it, and wrapped a GUI around it. We carried out an experimental evaluation with six ontologies covering three different use-cases to determine whether arbitrary interchangeability is practically doable, and to what extent such changes affect the quality of the module and automated reasoning over it. The results are positive, with the success rate varying between 22-100% depending on the number of mappings between the source and target module. The evaluation also revealed that the interchangeability does indeed have an impact on a module’s metrics. Regarding reasoning, when comparing an original ontology to one where a module has been swapped, the processing time is greatly improved for all except one of the swapped modules in the set. DA - 2017-09 DB - ResearchSpace DP - CSIR KW - Modularity KW - Modularisation KW - Module KW - Ontology metrics KW - Ontology KW - Interchangeability KW - Reasoning KW - Computing methodologies LK - https://researchspace.csir.co.za PY - 2017 SM - 978-1-4503-5250-5 T1 - Automatically changing modules in modular ontology development and management TI - Automatically changing modules in modular ontology development and management UR - http://hdl.handle.net/10204/9875 ER - en_ZA


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