Ontology-Based News Recommendation

W IJntema; F Goossen; Flavius Frasincar; Frederik Hogenboom

doi:10.1145/1754239.1754257

Ontology-Based News Recommendation

W IJntema
, F Goossen
, Flavius Frasincar
, Frederik Hogenboom

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

82 Citations (Scopus)

Abstract

Recommending news items is traditionally done by term-based algorithms like TF-IDF. This paper concentrates on the benefits of recommending news items using a domain ontology instead of using a term-based approach. For this purpose, we propose Athena, which is an extension to the existing Hermes framework. Athena employs a user profile to store terms or concepts found in news items browsed by the user. Based on this information, the framework uses a traditional method based on TF-IDF, and several ontology-based methods to recommend new articles to the user. The paper concludes with the evaluation of the different methods, which show that the ontology-based method, that we propose in this paper, performs better than the content-based approach and the other ontology-based approaches.

Original language	English
Title of host publication	International Workshop on Business intelligencE and the WEB (BEWEB 2010) at Thirteenth International Conference on Extending Database Technology and Thirteenth International Conference on Database Theory (EDBT/ICDT 2010)
Editors	F. Daniel, T.M. Truta, B. Volz, E. Waller, L. Xiong, E. Zimányi, L.M.L. Delcambre, F. Fotouhi, I. Garrigós, G. Guerrini, J.-N. Mazón, M. Mesiti, S. Müller-Feuerstein, J. Trujillo
Publisher	Association for Computing Machinery (ACM)
Volume	426
DOIs	https://doi.org/10.1145/1754239.1754257
Publication status	Published - 22 Mar 2010

Research programs

EUR ESE 32

Access to Document

10.1145/1754239.1754257

Cite this

IJntema, W., Goossen, F., Frasincar, F., & Hogenboom, F. (2010). Ontology-Based News Recommendation. In F. Daniel, T. M. Truta, B. Volz, E. Waller, L. Xiong, E. Zimányi, L. M. L. Delcambre, F. Fotouhi, I. Garrigós, G. Guerrini, J.-N. Mazón, M. Mesiti, S. Müller-Feuerstein, & J. Trujillo (Eds.), International Workshop on Business intelligencE and the WEB (BEWEB 2010) at Thirteenth International Conference on Extending Database Technology and Thirteenth International Conference on Database Theory (EDBT/ICDT 2010) (Vol. 426). Association for Computing Machinery (ACM). https://doi.org/10.1145/1754239.1754257

IJntema, W ; Goossen, F ; Frasincar, Flavius et al. / Ontology-Based News Recommendation. International Workshop on Business intelligencE and the WEB (BEWEB 2010) at Thirteenth International Conference on Extending Database Technology and Thirteenth International Conference on Database Theory (EDBT/ICDT 2010). editor / F. Daniel ; T.M. Truta ; B. Volz ; E. Waller ; L. Xiong ; E. Zimányi ; L.M.L. Delcambre ; F. Fotouhi ; I. Garrigós ; G. Guerrini ; J.-N. Mazón ; M. Mesiti ; S. Müller-Feuerstein ; J. Trujillo. Vol. 426 Association for Computing Machinery (ACM), 2010.

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title = "Ontology-Based News Recommendation",

abstract = "Recommending news items is traditionally done by term-based algorithms like TF-IDF. This paper concentrates on the benefits of recommending news items using a domain ontology instead of using a term-based approach. For this purpose, we propose Athena, which is an extension to the existing Hermes framework. Athena employs a user profile to store terms or concepts found in news items browsed by the user. Based on this information, the framework uses a traditional method based on TF-IDF, and several ontology-based methods to recommend new articles to the user. The paper concludes with the evaluation of the different methods, which show that the ontology-based method, that we propose in this paper, performs better than the content-based approach and the other ontology-based approaches.",

author = "W IJntema and F Goossen and Flavius Frasincar and Frederik Hogenboom",

year = "2010",

month = mar,

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doi = "10.1145/1754239.1754257",

language = "English",

volume = "426",

editor = "F. Daniel and T.M. Truta and B. Volz and E. Waller and L. Xiong and E. Zim{\'a}nyi and L.M.L. Delcambre and F. Fotouhi and I. Garrig{\'o}s and G. Guerrini and J.-N. Maz{\'o}n and M. Mesiti and S. M{\"u}ller-Feuerstein and J. Trujillo",

booktitle = "International Workshop on Business intelligencE and the WEB (BEWEB 2010) at Thirteenth International Conference on Extending Database Technology and Thirteenth International Conference on Database Theory (EDBT/ICDT 2010)",

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IJntema, W, Goossen, F, Frasincar, F & Hogenboom, F 2010, Ontology-Based News Recommendation. in F Daniel, TM Truta, B Volz, E Waller, L Xiong, E Zimányi, LML Delcambre, F Fotouhi, I Garrigós, G Guerrini, J-N Mazón, M Mesiti, S Müller-Feuerstein & J Trujillo (eds), International Workshop on Business intelligencE and the WEB (BEWEB 2010) at Thirteenth International Conference on Extending Database Technology and Thirteenth International Conference on Database Theory (EDBT/ICDT 2010). vol. 426, Association for Computing Machinery (ACM). https://doi.org/10.1145/1754239.1754257

Ontology-Based News Recommendation. / IJntema, W; Goossen, F; Frasincar, Flavius et al.
International Workshop on Business intelligencE and the WEB (BEWEB 2010) at Thirteenth International Conference on Extending Database Technology and Thirteenth International Conference on Database Theory (EDBT/ICDT 2010). ed. / F. Daniel; T.M. Truta; B. Volz; E. Waller; L. Xiong; E. Zimányi; L.M.L. Delcambre; F. Fotouhi; I. Garrigós; G. Guerrini; J.-N. Mazón; M. Mesiti; S. Müller-Feuerstein; J. Trujillo. Vol. 426 Association for Computing Machinery (ACM), 2010.

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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T1 - Ontology-Based News Recommendation

AU - IJntema, W

AU - Goossen, F

AU - Frasincar, Flavius

AU - Hogenboom, Frederik

PY - 2010/3/22

Y1 - 2010/3/22

N2 - Recommending news items is traditionally done by term-based algorithms like TF-IDF. This paper concentrates on the benefits of recommending news items using a domain ontology instead of using a term-based approach. For this purpose, we propose Athena, which is an extension to the existing Hermes framework. Athena employs a user profile to store terms or concepts found in news items browsed by the user. Based on this information, the framework uses a traditional method based on TF-IDF, and several ontology-based methods to recommend new articles to the user. The paper concludes with the evaluation of the different methods, which show that the ontology-based method, that we propose in this paper, performs better than the content-based approach and the other ontology-based approaches.

AB - Recommending news items is traditionally done by term-based algorithms like TF-IDF. This paper concentrates on the benefits of recommending news items using a domain ontology instead of using a term-based approach. For this purpose, we propose Athena, which is an extension to the existing Hermes framework. Athena employs a user profile to store terms or concepts found in news items browsed by the user. Based on this information, the framework uses a traditional method based on TF-IDF, and several ontology-based methods to recommend new articles to the user. The paper concludes with the evaluation of the different methods, which show that the ontology-based method, that we propose in this paper, performs better than the content-based approach and the other ontology-based approaches.

U2 - 10.1145/1754239.1754257

DO - 10.1145/1754239.1754257

M3 - Conference proceeding

VL - 426

BT - International Workshop on Business intelligencE and the WEB (BEWEB 2010) at Thirteenth International Conference on Extending Database Technology and Thirteenth International Conference on Database Theory (EDBT/ICDT 2010)

A2 - Daniel, F.

A2 - Truta, T.M.

A2 - Volz, B.

A2 - Waller, E.

A2 - Xiong, L.

A2 - Zimányi, E.

A2 - Delcambre, L.M.L.

A2 - Fotouhi, F.

A2 - Garrigós, I.

A2 - Guerrini, G.

A2 - Mazón, J.-N.

A2 - Mesiti, M.

A2 - Müller-Feuerstein, S.

A2 - Trujillo, J.

PB - Association for Computing Machinery (ACM)

ER -

IJntema W, Goossen F, Frasincar F, Hogenboom F. Ontology-Based News Recommendation. In Daniel F, Truta TM, Volz B, Waller E, Xiong L, Zimányi E, Delcambre LML, Fotouhi F, Garrigós I, Guerrini G, Mazón JN, Mesiti M, Müller-Feuerstein S, Trujillo J, editors, International Workshop on Business intelligencE and the WEB (BEWEB 2010) at Thirteenth International Conference on Extending Database Technology and Thirteenth International Conference on Database Theory (EDBT/ICDT 2010). Vol. 426. Association for Computing Machinery (ACM). 2010 doi: 10.1145/1754239.1754257

Ontology-Based News Recommendation

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