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Data-Intensive Object-Oriented Adaptive Web Systems: Implementing and Experimenting the OO-XAHM Framework

Authors:

Alfredo Cuzzocrea,

Edoardo FaddaAuthors Info & Claims

MEDES '20: Proceedings of the 12th International Conference on Management of Digital EcoSystems

Pages 115 - 123

https://doi.org/10.1145/3415958.3433051

Published: 27 November 2020 Publication History

Abstract

In this paper, we complement the research results provided with the OO-XAHM (Object-Oriented XML Adaptive Hypermedia Model), a state-of-the-art proposal for supporting adaptation features of the Web. In particular, in this contribution we provide: (i) the complete database-like implementation of OO-XAHM: (ii) a complete case study that focuses the attention on the well-known Italian archeological site Pompeii.

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Cited By

Wang XQin J(2023)Multimodal recommendation algorithm based on Dempster-Shafer evidence theoryMultimedia Tools and Applications10.1007/s11042-023-15262-883:10(28689-28704)Online publication date: 7-Sep-2023
https://doi.org/10.1007/s11042-023-15262-8
Bellini PPalesi LNesi PPantaleo G(2022)Multi Clustering Recommendation System for Fashion RetailMultimedia Tools and Applications10.1007/s11042-021-11837-582:7(9989-10016)Online publication date: 13-Jan-2022
https://doi.org/10.1007/s11042-021-11837-5

Index Terms

Data-Intensive Object-Oriented Adaptive Web Systems: Implementing and Experimenting the OO-XAHM Framework
1. Information systems
  1. World Wide Web

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Published In

cover image ACM Other conferences

MEDES '20: Proceedings of the 12th International Conference on Management of Digital EcoSystems

November 2020

170 pages

ISBN:9781450381154

DOI:10.1145/3415958

General Chairs:
Richard Chbeir
University Pau & Pays de l'Adour, France
,
Yannis Manolopoulos
Open University of Cyprus, Cyprus
,
Ernesto Damiani
Khalifa University of Science and Technology, UAE
,
Djamal Benslimane
Lyon 1 University, France
,
Program Chairs:
Ladjel Bellatreche
LIAS/ISAE-ENSMA, France
,
Tadeusz Morzy
Poznan University of Technology, Poland

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 November 2020

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MEDES '20

MEDES '20: 12th International Conference on Management of Digital EcoSystems

November 2 - 4, 2020

Virtual Event, United Arab Emirates

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MEDES '20 Paper Acceptance Rate 19 of 27 submissions, 70%;

Overall Acceptance Rate 267 of 682 submissions, 39%

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Cited By

Wang XQin J(2023)Multimodal recommendation algorithm based on Dempster-Shafer evidence theoryMultimedia Tools and Applications10.1007/s11042-023-15262-883:10(28689-28704)Online publication date: 7-Sep-2023
https://doi.org/10.1007/s11042-023-15262-8
Bellini PPalesi LNesi PPantaleo G(2022)Multi Clustering Recommendation System for Fashion RetailMultimedia Tools and Applications10.1007/s11042-021-11837-582:7(9989-10016)Online publication date: 13-Jan-2022
https://doi.org/10.1007/s11042-021-11837-5

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