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Pregled bibliografske jedinice broj: 495761

Determining semantic similarity of IT systems based on the comparison of their graphical data models


Tomičić-Pupek, Katarina
Determining semantic similarity of IT systems based on the comparison of their graphical data models // Journal of information and organizational sciences, 34 (2010), 2; 211-220 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 495761 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Determining semantic similarity of IT systems based on the comparison of their graphical data models

Autori
Tomičić-Pupek, Katarina

Izvornik
Journal of information and organizational sciences (1846-3312) 34 (2010), 2; 211-220

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

Ključne riječi
semantic similarity ; graphical data models ; comparison

Sažetak
Modelling is the basis for research and development of IT systems. Graphical models and graphic representations of models originally built in non-graphic languages and formalisms are often used. In modelling IT systems a need exists for comparing graphical models which can represent different variations of the same or similar modelled content or graphical models which, with certain revisions, could be applied in various domains. Graphical model in the latter case first needs to be translated into another form of predicate expressions or formal languages of modelled content representation. The lack of translation of the model for comparison is a time- consuming venture and may result in the loss of modelled relations due to differences in the “language” and representation symbols. The goal of the paper is to explore and propose methods and procedures for determining similarities of IT systems based on the comparison of their graphical data models. The procedure of determining the similarities of graphical data models of the same type shall at the end of my research be based on semantic and structural similarity of models. In this article procedures for determining semantic similarity and their application is discussed together with examples and the procedure for determining structural similarity is proposed in roughly as it is in the finishing state of current research activities.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
MZOS-016-0161199-2602 - Razvoj metodike za objedinjeno modeliranje poslovnog i informacijskog sustava (Brumec, Josip, MZOS ) ( CroRIS)

Ustanove:
Fakultet organizacije i informatike, Varaždin

Profili:

Avatar Url Katarina Tomičić-Pupek (autor)

Citiraj ovu publikaciju:

Tomičić-Pupek, Katarina
Determining semantic similarity of IT systems based on the comparison of their graphical data models // Journal of information and organizational sciences, 34 (2010), 2; 211-220 (međunarodna recenzija, članak, znanstveni)
Tomičić-Pupek, K. (2010) Determining semantic similarity of IT systems based on the comparison of their graphical data models. Journal of information and organizational sciences, 34 (2), 211-220.
@article{article, author = {Tomi\v{c}i\'{c}-Pupek, Katarina}, year = {2010}, pages = {211-220}, keywords = {semantic similarity, graphical data models, comparison}, journal = {Journal of information and organizational sciences}, volume = {34}, number = {2}, issn = {1846-3312}, title = {Determining semantic similarity of IT systems based on the comparison of their graphical data models}, keyword = {semantic similarity, graphical data models, comparison} }
@article{article, author = {Tomi\v{c}i\'{c}-Pupek, Katarina}, year = {2010}, pages = {211-220}, keywords = {semantic similarity, graphical data models, comparison}, journal = {Journal of information and organizational sciences}, volume = {34}, number = {2}, issn = {1846-3312}, title = {Determining semantic similarity of IT systems based on the comparison of their graphical data models}, keyword = {semantic similarity, graphical data models, comparison} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Uključenost u ostale bibliografske baze podataka::


  • Computer and Information Systems Abstracts
  • INSPEC
  • LISA: Library and Information Science Abstracts
  • SCOPUS





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