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Pregled bibliografske jedinice broj: 958127

Automating Semantic Analysis of Website Structures for Ontology-based Benchmarking: Conceptual Model and Implementation in Retail Banking


Vlahović, Nikola; Pejić-Bach, Mirjana; Brljak, Andrija
Automating Semantic Analysis of Website Structures for Ontology-based Benchmarking: Conceptual Model and Implementation in Retail Banking // Proceedings of The Eighth International Conference on Advances in Information Mining and Management (IMMM 2018) / Labudde, Dirk (ur.).
Barcelona: International Academy, Research, and Industry Association (IARIA), 2018. str. 10-19 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Automating Semantic Analysis of Website Structures for Ontology-based Benchmarking: Conceptual Model and Implementation in Retail Banking

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

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

Izvornik
Proceedings of The Eighth International Conference on Advances in Information Mining and Management (IMMM 2018) / Labudde, Dirk - Barcelona : International Academy, Research, and Industry Association (IARIA), 2018, 10-19

ISBN
978-1-61208-654-5

Skup
The Eighth International Conference on Advances in Information Mining and Management (IMMM 2018)

Mjesto i datum
Barcelona, Španjolska, 22.07.2018. - 26.07.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
semantic annotations ; ontologies ; automatic information retrieval ; business applications ; web mining ; natural language processing

Sažetak
Companies use benchmarking to improve the efficiency of their business processes, organizational structures and response to changes in their business environment. Benchmarking incites additional effort and drain on company resources. In this paper, we present an approach that may offer new outlook in making benchmarking less costly and time consuming. The goal of this paper is to present a conceptual model of the system based on grounded theory that uses current information retrieval methods, natural language processing and available web resources to create semantic ontology of best practices in structuring web- based information content. The developed model that is the result of the described approach can be used as a benchmarking model and tool for various purposes that we will illustrate using a banking web sites case study.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Mirjana Pejić Bach (autor)

Avatar Url Nikola Vlahović (autor)


Citiraj ovu publikaciju:

Vlahović, Nikola; Pejić-Bach, Mirjana; Brljak, Andrija
Automating Semantic Analysis of Website Structures for Ontology-based Benchmarking: Conceptual Model and Implementation in Retail Banking // Proceedings of The Eighth International Conference on Advances in Information Mining and Management (IMMM 2018) / Labudde, Dirk (ur.).
Barcelona: International Academy, Research, and Industry Association (IARIA), 2018. str. 10-19 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Vlahović, N., Pejić-Bach, M. & Brljak, A. (2018) Automating Semantic Analysis of Website Structures for Ontology-based Benchmarking: Conceptual Model and Implementation in Retail Banking. U: Labudde, D. (ur.)Proceedings of The Eighth International Conference on Advances in Information Mining and Management (IMMM 2018).
@article{article, author = {Vlahovi\'{c}, Nikola and Peji\'{c}-Bach, Mirjana and Brljak, Andrija}, editor = {Labudde, D.}, year = {2018}, pages = {10-19}, keywords = {semantic annotations, ontologies, automatic information retrieval, business applications, web mining, natural language processing}, isbn = {978-1-61208-654-5}, title = {Automating Semantic Analysis of Website Structures for Ontology-based Benchmarking: Conceptual Model and Implementation in Retail Banking}, keyword = {semantic annotations, ontologies, automatic information retrieval, business applications, web mining, natural language processing}, publisher = {International Academy, Research, and Industry Association (IARIA)}, publisherplace = {Barcelona, \v{S}panjolska} }
@article{article, author = {Vlahovi\'{c}, Nikola and Peji\'{c}-Bach, Mirjana and Brljak, Andrija}, editor = {Labudde, D.}, year = {2018}, pages = {10-19}, keywords = {semantic annotations, ontologies, automatic information retrieval, business applications, web mining, natural language processing}, isbn = {978-1-61208-654-5}, title = {Automating Semantic Analysis of Website Structures for Ontology-based Benchmarking: Conceptual Model and Implementation in Retail Banking}, keyword = {semantic annotations, ontologies, automatic information retrieval, business applications, web mining, natural language processing}, publisher = {International Academy, Research, and Industry Association (IARIA)}, publisherplace = {Barcelona, \v{S}panjolska} }




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