{"title":"An Ontology-Driven Approach to Model & Support Mobility and GeoLocation Based Campus Interactions","authors":"Maha Khemaja, F. Buendía","doi":"10.1145/2829875.2829935","DOIUrl":null,"url":null,"abstract":"University campuses are increasingly becoming places where different interactions take place including those related to instructional and learning tasks. Most of these interactions require gathering contextual information from the campus facilities, platforms, services or people that are part of this environment. The current work aims at providing an ontology-based proposal, which can enable to model most of these context features that can be useful to support multiple kinds of interactions in Campus settings. This proposal permits to reason and make inferences on contextual information and features in such a way to provide users with mobile geolocated services such as path finding, small group meetings planning or personalized information about campus facilities. The proposed ontology has been applied in a University campus with the purpose of guiding users to improve their personal experiences.","PeriodicalId":137603,"journal":{"name":"Proceedings of the XVI International Conference on Human Computer Interaction","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the XVI International Conference on Human Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2829875.2829935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
University campuses are increasingly becoming places where different interactions take place including those related to instructional and learning tasks. Most of these interactions require gathering contextual information from the campus facilities, platforms, services or people that are part of this environment. The current work aims at providing an ontology-based proposal, which can enable to model most of these context features that can be useful to support multiple kinds of interactions in Campus settings. This proposal permits to reason and make inferences on contextual information and features in such a way to provide users with mobile geolocated services such as path finding, small group meetings planning or personalized information about campus facilities. The proposed ontology has been applied in a University campus with the purpose of guiding users to improve their personal experiences.