Communications of the ACM - Supporting community and building social capital
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Learning to Get the Value of Quality from Web Data
OTM '08 Proceedings of the OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: 2008 Workshops: ADI, AWeSoMe, COMBEK, EI2N, IWSSA, MONET, OnToContent + QSI, ORM, PerSys, RDDS, SEMELS, and SWWS
Incremental Detection of Model Inconsistencies Based on Model Operations
CAiSE '09 Proceedings of the 21st International Conference on Advanced Information Systems Engineering
Choosing the "rightweight" model for web site quality evaluation
ICWE'03 Proceedings of the 2003 international conference on Web engineering
Modeling and use of an ontology network for website recommendation systems
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
Semantic web recommender systems
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
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Web site recommendation systems help to get high quality information. The modeling of recommendation system involves the combination of many features: metrics of quality, quality criteria, recommendation criteria, user profile, specific domain concepts, among others. At the moment of the specification of a recommendation system it must be guaranteed a right interrelation of all of these features. In this paper, we propose an ontology network based process for web site recommendation modeling. The ontology network conceptualizes the different domains (web site domain, quality assurance domain, user context domain, recommendation criteria domain, specific domain) in a set of interrelated ontologies. Basically, this work introduces the semantic relationships that were used to construct this ontology network. Moreover, it shows the usefulness of this ontology network for the detection of possible inconsistencies when specifying recommendation criteria. Particularly, this approach is illustrated for the health domain.