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Pregled bibliografske jedinice broj: 384546

Merged ontology for engineering design: Contrasting empirical and theoretical approaches to develop engineering ontologies


Ahmed, Saeema; Štorga, Mario
Merged ontology for engineering design: Contrasting empirical and theoretical approaches to develop engineering ontologies // Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 23 (2009), 4; 391-407 doi:10.1017/S0890060409000146 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 384546 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Merged ontology for engineering design: Contrasting empirical and theoretical approaches to develop engineering ontologies

Autori
Ahmed, Saeema ; Štorga, Mario

Izvornik
Artificial Intelligence for Engineering Design, Analysis and Manufacturing (0890-0604) 23 (2009), 4; 391-407

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Design Theory; Empirical Research; Engineering Design Ontology; Indexing Knowledge; Ontology Mapping and Merging

Sažetak
This paper presents a comparison of two previous and separate efforts to develop an ontology in the engineering design domain, together with an ontology proposal from which ontologies for a specific application may be derived. The research contrasts an empirical, user-centered approach to developing the ontology engineering design integrated taxonomies (EDIT) with a theoretical approach in which concepts and relations are elicited from engineering design theories design ontology (DO). The limitations and advantages of each approach are discussed. The research methodology adopted is to map the ontology through examining each of the concepts and relations contained within each of the ontologies DO and EDIT with respect to the other. The comparison process results in an examination of both ontologies, with a few changes resulting from this. The importance of the two different approaches, one that is theoretically sound and another that is applicable, is recognized and argued. Finally, the merged ontology for engineering design is proposed as a template ontology that can be tailored by researchers and practitioners for a specific context.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Projekti:
120-1201829-1828 - Modeli i metode upravljanja znanjem u razvoju proizvoda (Marjanović, Dorian, MZOS ) ( CroRIS)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Mario Štorga (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Ahmed, Saeema; Štorga, Mario
Merged ontology for engineering design: Contrasting empirical and theoretical approaches to develop engineering ontologies // Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 23 (2009), 4; 391-407 doi:10.1017/S0890060409000146 (međunarodna recenzija, članak, znanstveni)
Ahmed, S. & Štorga, M. (2009) Merged ontology for engineering design: Contrasting empirical and theoretical approaches to develop engineering ontologies. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 23 (4), 391-407 doi:10.1017/S0890060409000146.
@article{article, author = {Ahmed, Saeema and \v{S}torga, Mario}, year = {2009}, pages = {391-407}, DOI = {10.1017/S0890060409000146}, keywords = {Design Theory, Empirical Research, Engineering Design Ontology, Indexing Knowledge, Ontology Mapping and Merging}, journal = {Artificial Intelligence for Engineering Design, Analysis and Manufacturing}, doi = {10.1017/S0890060409000146}, volume = {23}, number = {4}, issn = {0890-0604}, title = {Merged ontology for engineering design: Contrasting empirical and theoretical approaches to develop engineering ontologies}, keyword = {Design Theory, Empirical Research, Engineering Design Ontology, Indexing Knowledge, Ontology Mapping and Merging} }
@article{article, author = {Ahmed, Saeema and \v{S}torga, Mario}, year = {2009}, pages = {391-407}, DOI = {10.1017/S0890060409000146}, keywords = {Design Theory, Empirical Research, Engineering Design Ontology, Indexing Knowledge, Ontology Mapping and Merging}, journal = {Artificial Intelligence for Engineering Design, Analysis and Manufacturing}, doi = {10.1017/S0890060409000146}, volume = {23}, number = {4}, issn = {0890-0604}, title = {Merged ontology for engineering design: Contrasting empirical and theoretical approaches to develop engineering ontologies}, keyword = {Design Theory, Empirical Research, Engineering Design Ontology, Indexing Knowledge, Ontology Mapping and Merging} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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