Pregled bibliografske jedinice broj: 958127
Automating Semantic Analysis of Website Structures for Ontology-based Benchmarking: Conceptual Model and Implementation in Retail Banking
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)
CROSBI ID: 958127 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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