research-article

Recommending Web Service Based on Ontologies for Digital Repositories

Authors:

Anderson Salles,

Roberto WillrichAuthors Info & Claims

WebMedia '15: Proceedings of the 21st Brazilian Symposium on Multimedia and the Web

Pages 65 - 72

https://doi.org/10.1145/2820426.2820432

Published: 27 October 2015 Publication History

Abstract

Digital Repositories (DRs) offer functionalities for managing, storing and accessing digital contents. DRs may make available a wide range of content types, including theses, dissertations, papers, videos, works of art and literacy works. Some DRs have used recommendation systems to offer users suggestions about digital contents that they might be interested. In this paper, we propose a multi-domain Recommender Web Service supporting multiple types of recommendation audience. The flexibility of domain and audience is provided by the use of ontologies to represent domain-specific knowledge. In order to test the feasibility of our proposal, the paper presents two use cases of our Recommending Web Service.

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Cited By

Morillo-Palacios BGutiérrez-Cárdenas J(2020)Content-Based Learning Object Recommendation System Using a User Profile Ontology for High School StudentsProceedings of the Future Technologies Conference (FTC) 2020, Volume 110.1007/978-3-030-63128-4_63(838-858)Online publication date: 31-Oct-2020
https://doi.org/10.1007/978-3-030-63128-4_63
Oliveira YSilveira LSouza CNeto MNovais RFerraz CViana W(2018)A Model-Driven Approach to Evolve Recommender SystemsProceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3267457(169-172)Online publication date: 16-Oct-2018
https://dl.acm.org/doi/10.1145/3243082.3267457
Sacenti JWillrich RFileto RNeto MNovais RFerraz CViana W(2018)Hybrid Recommender System Based on Multi-Hierarchical OntologiesProceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3243106(149-156)Online publication date: 16-Oct-2018
https://dl.acm.org/doi/10.1145/3243082.3243106
Show More Cited By

Index Terms

Recommending Web Service Based on Ontologies for Digital Repositories
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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cover image ACM Other conferences

WebMedia '15: Proceedings of the 21st Brazilian Symposium on Multimedia and the Web

October 2015

266 pages

ISBN:9781450339599

DOI:10.1145/2820426

General Chairs:
Marco Antônio Pinheiro de Cristo
UFAM, Brazil
,
David Fernandes de Oliveira
UFAM, Brazil
,
Program Chairs:
Adriano C. Machado Pereira
UFMG, Brazil
,
Fabricio Benevenuto
UFMG, Brazil
,
Marcelo Moreno
UFJF, Brazil
,
Valter Roesler
UFRGS, Brazil

Copyright © 2015 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]

Sponsors

CYTED: Ciência Y Tecnologia Para El Desarrollo
SBC: Brazilian Computer Society
FAPEAM: Fundacao de Amparo a Pesquisa do Estado do Amazonas
CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
CGIBR: Comite Gestor da Internet no Brazil
CAPES: Brazilian Higher Education Funding Council

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2015

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Webmedia '15

Sponsor:

CYTED
SBC
FAPEAM
CNPq
CGIBR
CAPES

Webmedia '15: 21st Brazilian Symposium on Multimedia and the Web

October 27 - 30, 2015

Manaus, Brazil

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WebMedia '15 Paper Acceptance Rate 21 of 61 submissions, 34%;

Overall Acceptance Rate 270 of 873 submissions, 31%

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Cited By

Morillo-Palacios BGutiérrez-Cárdenas J(2020)Content-Based Learning Object Recommendation System Using a User Profile Ontology for High School StudentsProceedings of the Future Technologies Conference (FTC) 2020, Volume 110.1007/978-3-030-63128-4_63(838-858)Online publication date: 31-Oct-2020
https://doi.org/10.1007/978-3-030-63128-4_63
Oliveira YSilveira LSouza CNeto MNovais RFerraz CViana W(2018)A Model-Driven Approach to Evolve Recommender SystemsProceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3267457(169-172)Online publication date: 16-Oct-2018
https://dl.acm.org/doi/10.1145/3243082.3267457
Sacenti JWillrich RFileto RNeto MNovais RFerraz CViana W(2018)Hybrid Recommender System Based on Multi-Hierarchical OntologiesProceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3243106(149-156)Online publication date: 16-Oct-2018
https://dl.acm.org/doi/10.1145/3243082.3243106
Fernandes BSacenti JWillrich RRoesler VValdeni de Lima JSaibel Santos CWillrich R(2017)Using Implicit Feedback for Neighbors SelectionProceedings of the 23rd Brazillian Symposium on Multimedia and the Web10.1145/3126858.3126896(341-348)Online publication date: 17-Oct-2017
https://dl.acm.org/doi/10.1145/3126858.3126896

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