Hermes: an Ontology-Based News Personalization Portal

Borsje, Jethro; Levering, Leonard; Embregts, Hanno and Frasincar, Flavius (2007): Hermes: an Ontology-Based News Personalization Portal. Unpublished.

Abstract

Nowadays, news feeds provide Web users with access to an unlimited amount of news items, however only a subset of them is relevant. Therefore, users should be able to select the most relevant concepts, about which they want to retrieve news. Although keyword search engines provide users with the ability to filter news items, they lack the power of understanding the domain where the news items reside.

The aim of this paper is to propose a solution that provides users with the ability to ask for news items related to specific concepts they are interested in. This is accomplished by creating an ontology, developing a classifying system that populates the ontology by making use of a knowledge base, and providing an innovative graph representation of the ontology to retrieve relevant news items. A characteristic feature of our approach is the consideration of both concepts and concept relationships for the retrieval of user-relevant items.

• Item Type: MPRA Paper
• Additional Information: This paper discusses the use of Semantic Web technologies to classify news items with respect to a domain specific knowledge base. These news items can then be used with respect to their context in a specific domain. In our paper we used news about the NASDAQ stock market.
• Institution: Erasmus University Rotterdam
• Language: English
• Keywords: semantic web; news classification; ontologies; OWL; SPARQL; decision support
• Subjects: G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice; Investment Decisions; C - Mathematical and Quantitative Methods > C6 - Mathematical Methods and Programming > C60 - General

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