Title :
Modelling Trust in Semantic Web Applications
Author :
Albiston, Gregory ; Osman, Taha ; Peytchev, Evtim
Author_Institution :
Sch. of Sci. & Technol., Nottingham Trent Univ., Nottingham, UK
Abstract :
This paper identifies some of the barriers to the adoption of car-sharing, termed carpooling in the US, and develops a framework for deriving trusted recommendations based on social network information. The framework is established on a semantic modelling approach putting forward its suitability to resolving adoption barriers while also highlighting the characteristics of trust and social network information that can be exploited. Identification is made of potential vocabularies, ontologies and public social networks which can be used as the basis for deriving direct and indirect trust values in an implementation and will form part of the focus for future work.
Keywords :
ontologies (artificial intelligence); recommender systems; semantic Web; social sciences computing; vocabulary; car-sharing; ontology; semantic Web application; social network information; trust modelling; trusted recommendation; vocabulary; Computational modeling; Context; Ontologies; Semantics; Social network services; Vehicles; Vocabulary; interpersonal trust; semantic modelling; social network;
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2014 UKSim-AMSS 16th International Conference on
Print_ISBN :
978-1-4799-4923-6
DOI :
10.1109/UKSim.2014.62