Hermes: a semantic web-based news decision support system

The emergence of the Web has made more and more news items available, however only a small subset of these news items are relevant in a decision making process. Therefore decision makers need an information system that is capable of extracting a set of relevant news items automatically. This paper proposes a framework that provides decision makers with the ability to extract a set of news items related to specific concepts of interest. This is accomplished by creating a knowledge base and developing a system that classifies news with respect to 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 Intelligence]: Knowledge Representation Formalisms and Methods--Representation languages General Terms Design, Management Keywords Decision Support Systems, Ontology, Semantic Web

• Type: Journal
• Year: 2008
• Where: SAC
• Authors: Jethro Borsje, Leonard Levering, Flavius Frasincar
• Keywords: Applied Computing, Decision Makers, Knowledge Base, Knowledge Representation Formalisms And Methods, SAC 2008