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Item type:Publication, Enrichment of Learner Profile with Ubiquitous User Model Interoperability(Instituto Politécnico Nacional, 2014); Scopus© Citations 11 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An enhanced process of concept alignment for dealing with overweight and obesity(2013); González-Mendoza, MiguelA major challenge for creating personalized diet and activity applications is to capture static, semi-static and dynamic information about a person in a user-friendly way. Sharing and reusing information between heterogeneous sources like social networking applications, personal health records, specialized applications for diet and exercise monitoring, and personal devices with attached sensors can achieve a better understanding of the user. Gathering distributed user information from heterogeneous sources and making sense of it to enable user model interoperability entails handling the semantic heterogeneity of the user models. In this paper, we enhance the process of concept alignment to automatically determine semantic mapping relations to enable interoperability between heterogeneous health and fitting applications. We add an internal structure similarity measure to increase the quality of generated mappings of our previous work. We show that the addition of an internal structure analysis of source data in the process of concept alignment improves the efficiency and effectiveness of measuring results. Constrain and data type verification done in the internal structure analysis proved to be useful when dealing with common conflicts between concepts.8 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Towards an ontology for ubiquitous user modeling interoperability(2012); González-Mendoza, MiguelIn order to obtain a broader understanding of the user, some researchers in the community of user modeling envision the need to share information of user models between applications. But gathering distributed user information from heterogeneous sources to obtain user models interoperability implies handling syntactic and semantic heterogeneity. It is also important to provide means for a ubiquitous user model to evolve over time. We present U2MIO a dynamic ontology with flexible structure for user modeling interoperability based in SKOS ontology. The U2MIO provides mediation based user modeling for sharing and reusing information from heterogeneous user models. A two-tier matching strategy is proposed for the process of concept alignment that permits the interoperability between profile suppliers and consumers.23 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Consumer Acceptance of an SMS-Assisted Smoking Cessation Intervention: A Multicountry Study(2013); González-Mendoza, MiguelA major challenge for creating personalized diet and activity applications is to capture static, semi-static and dynamic information about a person in a user-friendly way. Sharing and reusing information between heterogeneous sources like social networking applications, personal health records, specialized applications for diet and exercise monitoring, and personal devices with attached sensors can achieve a better understanding of the user. But gathering distributed user information from heterogeneous sources and making sense of it to enable user model interoperability entails handling the semantic heterogeneity of the user models. In this paper we describe a flexible user modeling ontology to provide representation for a ubiquitous user model and a process of concept alignment for interoperability between heterogeneous sources to address the lack of interoperability between profile suppliers and consumers. We provide an example of how information of different profile suppliers can be used to enrich fitness applications and personalize web services.14 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Process of Concept Alignment for Interoperability between Heterogeneous Sources(2013); González-Mendoza, MiguelSome researchers in the community of user modeling envision the need to share and reuse information scattered over different user models of heterogeneous sources. In a multi-application environment each application and service must repeat the effort of building a user model to obtain just a narrow understanding of the user. Sharing and reusing information between models can prevent the user from repeated configurations, help deal with application and services’ “cold start” problem, and provide enrichment to user models to obtain a better understanding of the user. But gathering distributed user information from heterogeneous sources to achieve user models interoperability implies handling syntactic and semantic heterogeneity. In this paper, we present a process of concept alignment to automatically determine semantic mapping relations that enable the interoperability between heterogeneous profile suppliers and consumers, given the mediation of a central ubiquitous user model. We show that the process of concept alignment for interoperability based in a two-tier matching strategy can allow the interoperability between social networking applications, FOAF, Personal Health Records (PHR) and personal devices.Scopus© Citations 2 4 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Consumption of Profile Information from Heterogeneous Sources to Leverage Human-Computer Interaction(2013); González-Mendoza, MiguelUbiquitous computing brings new challenges to system and application designers. It is not enough to deliver information at any time, at any place and in any form; information must be relevant to the user. Ubiquitous user model interoperability allows enrichment of adaptive systems obtaining a better understanding of the user, but conflict resolution is necessary to deliver the best suited values despite the existence of international standards for different concepts. In this paper, we present the algorithm of conflict resolution to consume of profile information from the ubiquitous user model. We illustrate the enrichment of user models with one elemental concept for human-computer interaction: the language concept.14 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Sharing and Reusing Context Information in Ubiquitous Computing Environments(2014)Scopus© Citations 1 8 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Interoperability in Electronic Health Records Through the Mediation of Ubiquitous User Model(2016); Scopus© Citations 6 16 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Overview of a Framework for Ubiquitous User Models Interoperability(2016); González-Mendoza, MiguelResearchers in the user modeling community have been interested in sharing and reuse profile information from heterogeneous sources. Ubiquitous user model interoperability allows enrichment of adaptive systems obtaining a better understanding of the user, and decreases the effort associated with creating a user model. We present a framework that enables the interoperability between profile suppliers and consumers with a mixed approach that consist in central ubiquitous user model ontology and a process of concept alignment. The central ontology is a flexible representation of a ubiquitous user model to cope with the dynamicity of a distributed multi-application environment that provides mediation between profile suppliers and consumers. The process of concept alignment automatically discovers the semantic mappings in order to interpret the information from heterogeneous sources and integrate them into a ubiquitous user model. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017.Scopus© Citations 1 10 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Fuzzy-Based Approach of Concept Alignment(2017); González-Mendoza, MiguelThe need to share and reuse information has grown in the new era of Internet of things and ubiquitous computing. Researchers in ontology and schema matching use mapping approaches in order to achieve interoperability between heterogeneous sources. The use of multiple similarity measures that take into account lexical, structural and semantic properties of the concepts is often found in schema matching for the purpose of data integration, sharing and reusing. Mappings identified by automatic or semi-automatic tools can never be certain. In this paper, we present a fuzzy-based approach to combine different similarity measures to deal with scenarios where ambiguity of terms hinder the process of alignment and add uncertainty to the match. © 2017, Springer International Publishing AG.Scopus© Citations 1 10 2