This paper focuses the attention on the emerging class of Adaptive Complex Data-Intensive Web Systems (ACDIWS), which start from classical Adaptive Web Systems (AWS) and add innovative characteristics of complex application scenarios and big Web data. One among the state-of-the-art results is represented by the OO-XAHM framework, which makes use of an object-oriented approach for achieving the adaptation effect over complex data-intensive Web systems. Along this fortunate line of research, this paper contributes to the research context with a real-life case study that shows the potentialities of OO-XAHM on the Web portal of the well-known Italian archaeological site Pompeii.

Adaptive Complex Data-Intensive Web Systems via Object-oriented Paradigms: A Real-life Case Study / Cuzzocrea, A.; Fadda, E.. - 2:(2021), pp. 565-572. (Intervento presentato al convegno 23rd International Conference on Enterprise Information Systems, ICEIS 2021 tenutosi a online nel 26 April 2021 through 28 April 2021) [10.5220/0010481705650572].

Adaptive Complex Data-Intensive Web Systems via Object-oriented Paradigms: A Real-life Case Study

Fadda E.
2021

Abstract

This paper focuses the attention on the emerging class of Adaptive Complex Data-Intensive Web Systems (ACDIWS), which start from classical Adaptive Web Systems (AWS) and add innovative characteristics of complex application scenarios and big Web data. One among the state-of-the-art results is represented by the OO-XAHM framework, which makes use of an object-oriented approach for achieving the adaptation effect over complex data-intensive Web systems. Along this fortunate line of research, this paper contributes to the research context with a real-life case study that shows the potentialities of OO-XAHM on the Web portal of the well-known Italian archaeological site Pompeii.
File in questo prodotto:
File Dimensione Formato  
7073759551ddf836f52c70998d593137e0f2.pdf

accesso aperto

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Creative commons
Dimensione 2.48 MB
Formato Adobe PDF
2.48 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2990669