A Semantic Web-Based Approach for Personalizing News

Kim Schouten; P Ruijgrok; J Borsje; Flavius Frasincar; L Levering; Frederik Hogenboom

doi:10.1145/1774088.1774264

A Semantic Web-Based Approach for Personalizing News

Kim Schouten, P Ruijgrok, J Borsje, Flavius Frasincar, L Levering, Frederik Hogenboom

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

34 Citations (Scopus)

Abstract

Hermes is an ontology-based framework for building news personalization services. This framework consists of a news classification phase, which classifies the news, a knowledge base updating phase, which keeps the knowledge base up-to-date, a news querying phase, allowing the user to search the news for concepts of interest, and a results presentation phase, showing the returned news items. The focus of this paper is on how to keep the knowledge base up-to-date. For this purpose, we elaborate on the updating phase that searches for key events in the news. Using rules based on patterns and actions, these events can be extracted and the knowledge base is updated. This is a semi-automatic process since user validation is required before updating the knowledge base.

Original language	English
Title of host publication	Twenty-Fifth Symposium on Applied Computing (SAC 2010)
Editors	W. Chu, W.E. Wong, M.J. Palakal, C.-C. Hung
Publisher	ACM
Pages	854-861
Number of pages	8
Volume	1
DOIs	https://doi.org/10.1145/1774088.1774264
Publication status	Published - 22 Mar 2010

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title = "A Semantic Web-Based Approach for Personalizing News",

abstract = "Hermes is an ontology-based framework for building news personalization services. This framework consists of a news classification phase, which classifies the news, a knowledge base updating phase, which keeps the knowledge base up-to-date, a news querying phase, allowing the user to search the news for concepts of interest, and a results presentation phase, showing the returned news items. The focus of this paper is on how to keep the knowledge base up-to-date. For this purpose, we elaborate on the updating phase that searches for key events in the news. Using rules based on patterns and actions, these events can be extracted and the knowledge base is updated. This is a semi-automatic process since user validation is required before updating the knowledge base.",

author = "Kim Schouten and P Ruijgrok and J Borsje and Flavius Frasincar and L Levering and Frederik Hogenboom",

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T1 - A Semantic Web-Based Approach for Personalizing News

AU - Schouten, Kim

AU - Ruijgrok, P

AU - Borsje, J

AU - Frasincar, Flavius

AU - Levering, L

AU - Hogenboom, Frederik

PY - 2010/3/22

Y1 - 2010/3/22

N2 - Hermes is an ontology-based framework for building news personalization services. This framework consists of a news classification phase, which classifies the news, a knowledge base updating phase, which keeps the knowledge base up-to-date, a news querying phase, allowing the user to search the news for concepts of interest, and a results presentation phase, showing the returned news items. The focus of this paper is on how to keep the knowledge base up-to-date. For this purpose, we elaborate on the updating phase that searches for key events in the news. Using rules based on patterns and actions, these events can be extracted and the knowledge base is updated. This is a semi-automatic process since user validation is required before updating the knowledge base.

AB - Hermes is an ontology-based framework for building news personalization services. This framework consists of a news classification phase, which classifies the news, a knowledge base updating phase, which keeps the knowledge base up-to-date, a news querying phase, allowing the user to search the news for concepts of interest, and a results presentation phase, showing the returned news items. The focus of this paper is on how to keep the knowledge base up-to-date. For this purpose, we elaborate on the updating phase that searches for key events in the news. Using rules based on patterns and actions, these events can be extracted and the knowledge base is updated. This is a semi-automatic process since user validation is required before updating the knowledge base.

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EP - 861

BT - Twenty-Fifth Symposium on Applied Computing (SAC 2010)

A2 - Chu, W.

A2 - Wong, W.E.

A2 - Palakal, M.J.

A2 - Hung, C.-C.

PB - ACM

ER -

A Semantic Web-Based Approach for Personalizing News

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