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Pregled bibliografske jedinice broj: 1108487

Ontology-Based Analysis of Website Structure for Benchmarking in Retail Business


Vlahović, Nikola; Brljak, Andrija; Pejić-Bach, Mirjana
Ontology-Based Analysis of Website Structure for Benchmarking in Retail Business // International Journal of Web Portals, 13 (2021), 1; 1-19 doi:10.4018/IJWP.2021010101 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1108487 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Ontology-Based Analysis of Website Structure for Benchmarking in Retail Business

Autori
Vlahović, Nikola ; Brljak, Andrija ; Pejić-Bach, Mirjana

Izvornik
International Journal of Web Portals (1938-0194) 13 (2021), 1; 1-19

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

Ključne riječi
Automatic Information Retrieval, Lexical Databases, Natural Language Processing, Ontologies, Retail Banking, Semantic Annotations, Web Mining

Sažetak
With the growing trend of digital transformation, electronic business has become a crucial part of business operations for many companies. Some of the most critical steps in successful transformation pertain not only to data and information acquisition and digitalization but also to adequate publishing and organization of these information resources. Companies share information through their websites, so the structuring of the web content becomes critical during the digital transformation of business. In this paper, the authors present a conceptual model of the managerial tool that is based on semantic analysis of web sites in order to obtain information about the structure of web sites in a particular domain. The resulting ontological model contains information about best practices in web information organization and can be a valuable resource for management when deciding on the organization of their own web content. The system is based on grounded theory and uses current information retrieval methods, natural language processing, semantic networks, and ontologies.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Profili:

Avatar Url Mirjana Pejić Bach (autor)

Avatar Url Nikola Vlahović (autor)

Poveznice na cjeloviti tekst rada:

doi www.igi-global.com

Citiraj ovu publikaciju:

Vlahović, Nikola; Brljak, Andrija; Pejić-Bach, Mirjana
Ontology-Based Analysis of Website Structure for Benchmarking in Retail Business // International Journal of Web Portals, 13 (2021), 1; 1-19 doi:10.4018/IJWP.2021010101 (međunarodna recenzija, članak, znanstveni)
Vlahović, N., Brljak, A. & Pejić-Bach, M. (2021) Ontology-Based Analysis of Website Structure for Benchmarking in Retail Business. International Journal of Web Portals, 13 (1), 1-19 doi:10.4018/IJWP.2021010101.
@article{article, author = {Vlahovi\'{c}, Nikola and Brljak, Andrija and Peji\'{c}-Bach, Mirjana}, year = {2021}, pages = {1-19}, DOI = {10.4018/IJWP.2021010101}, keywords = {Automatic Information Retrieval, Lexical Databases, Natural Language Processing, Ontologies, Retail Banking, Semantic Annotations, Web Mining}, journal = {International Journal of Web Portals}, doi = {10.4018/IJWP.2021010101}, volume = {13}, number = {1}, issn = {1938-0194}, title = {Ontology-Based Analysis of Website Structure for Benchmarking in Retail Business}, keyword = {Automatic Information Retrieval, Lexical Databases, Natural Language Processing, Ontologies, Retail Banking, Semantic Annotations, Web Mining} }
@article{article, author = {Vlahovi\'{c}, Nikola and Brljak, Andrija and Peji\'{c}-Bach, Mirjana}, year = {2021}, pages = {1-19}, DOI = {10.4018/IJWP.2021010101}, keywords = {Automatic Information Retrieval, Lexical Databases, Natural Language Processing, Ontologies, Retail Banking, Semantic Annotations, Web Mining}, journal = {International Journal of Web Portals}, doi = {10.4018/IJWP.2021010101}, volume = {13}, number = {1}, issn = {1938-0194}, title = {Ontology-Based Analysis of Website Structure for Benchmarking in Retail Business}, keyword = {Automatic Information Retrieval, Lexical Databases, Natural Language Processing, Ontologies, Retail Banking, Semantic Annotations, Web Mining} }

Časopis indeksira:


  • Scopus


Citati:





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