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Pregled bibliografske jedinice broj: 810298

Ontology learning for open semantic triz in software engineering


Bevanda, Vanja; Sinković, Giorgio; Turk, Marko
Ontology learning for open semantic triz in software engineering // Proceedings of the 9th IADIS International Conference, Information Systems 2016, / Edited by Philip Powell, Miguel Baptista Nunes and Pedro Isaías (ur.).
Vilamoura: International Association for Development of the Information Society (IADIS), 2016. str. 102-110 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 810298 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Ontology learning for open semantic triz in software engineering

Autori
Bevanda, Vanja ; Sinković, Giorgio ; Turk, Marko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 9th IADIS International Conference, Information Systems 2016, / Edited by Philip Powell, Miguel Baptista Nunes and Pedro Isaías - Vilamoura : International Association for Development of the Information Society (IADIS), 2016, 102-110

ISBN
978-989-8533-50-0

Skup
9th IADIS International Conference, Information Systems 2016

Mjesto i datum
Vilamoura, Portugal, 09.04.2016. - 11.04.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
TRIZ inventive principles ; software engineering ; open innovation ; semantic web ; ontology learning and collaborative knowledge management platform

Sažetak
TRIZ (the theory of inventive problem solving ; an acronym for the Russian phrase " Teoriya Resheniya Izobretatelskikh Zadatch") is a broad title representing a collection of methodologies, tools, knowledge bases, and model -based technologies for generating inventive ideas and solutions. It has been developed for over 65 years to support engineers and natural scientists solving problems in the fields of physics, chemistry and mechanical systems by using knowledge of former inventors. In today business environment, new technologies and competitions force business organizations to invest additional resources in order to continuous ly improve their business models, products, processes, services, management , information system and knowledge of employees . As a part of these efforts, appears an exigency for strengthening the importance of inventive solving problems capabilities in area of software engineering, supporting innovative aspects of business organizations in extremely changing environment. Although the software engineering (SE) is “ a branch of computer science that deals with the design, implementation, and maintenance of complex computer programs ”, the existing research shows that only a part of the available TRIZ toolkit is applicable to this specific field. The current literature records numerous attempts made in different directions in order to fulfil a prominence need for adjustment, widening or upgrading existing TRIZ methodology to SE domain. This article synthetizes those efforts and proposes the development of semantic portal for open TRIZ in supporting collaborative software engineers` inventive problem solving process. As a part of this development process, authors have offered a solution for facilitating the ontology acquisition activities using inductive learning.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Sveučilište Jurja Dobrile u Puli

Profili:

Avatar Url Giorgio Sinković (autor)

Avatar Url Vanja Bevanda (autor)

Avatar Url Marko Turk (autor)

Citiraj ovu publikaciju:

Bevanda, Vanja; Sinković, Giorgio; Turk, Marko
Ontology learning for open semantic triz in software engineering // Proceedings of the 9th IADIS International Conference, Information Systems 2016, / Edited by Philip Powell, Miguel Baptista Nunes and Pedro Isaías (ur.).
Vilamoura: International Association for Development of the Information Society (IADIS), 2016. str. 102-110 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Bevanda, V., Sinković, G. & Turk, M. (2016) Ontology learning for open semantic triz in software engineering. U: Edited by Philip Powell, M. (ur.)Proceedings of the 9th IADIS International Conference, Information Systems 2016,.
@article{article, author = {Bevanda, Vanja and Sinkovi\'{c}, Giorgio and Turk, Marko}, editor = {Edited by Philip Powell, M.}, year = {2016}, pages = {102-110}, keywords = {TRIZ inventive principles, software engineering, open innovation, semantic web, ontology learning and collaborative knowledge management platform}, isbn = {978-989-8533-50-0}, title = {Ontology learning for open semantic triz in software engineering}, keyword = {TRIZ inventive principles, software engineering, open innovation, semantic web, ontology learning and collaborative knowledge management platform}, publisher = {International Association for Development of the Information Society (IADIS)}, publisherplace = {Vilamoura, Portugal} }
@article{article, author = {Bevanda, Vanja and Sinkovi\'{c}, Giorgio and Turk, Marko}, editor = {Edited by Philip Powell, M.}, year = {2016}, pages = {102-110}, keywords = {TRIZ inventive principles, software engineering, open innovation, semantic web, ontology learning and collaborative knowledge management platform}, isbn = {978-989-8533-50-0}, title = {Ontology learning for open semantic triz in software engineering}, keyword = {TRIZ inventive principles, software engineering, open innovation, semantic web, ontology learning and collaborative knowledge management platform}, publisher = {International Association for Development of the Information Society (IADIS)}, publisherplace = {Vilamoura, Portugal} }

Časopis indeksira:


  • Scopus





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