A semantic web-based approach for personalizing news

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 upto-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-todate. 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. Categories and Subject Descriptors H.4.2 [Information Systems Applications]: Types of Systems—Decision support; H.5.2 [Information Interfaces and Presentation]: User Interfaces—User-centered design; I.2.4 [Artificial Inte...

• Type: Conference
• Year: 2010
• Where: SAC
• Authors: Kim Schouten, Philip Ruijgrok, Jethro Borsje, Flavius Frasincar, Leonard Levering, Frederik Hogenboom
• Keywords: Applied Computing, Base Updating Phase, Knowledge Base, Knowledge Representation Formalisms, SAC 2010