An Enhanced Process of Concept Alignment for Dealing with Overweight and Obesity

A 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.

[1]  Shlomo Berkovsky,et al.  Decentralized Mediation of User Models for a Better Personalization , 2006, AH.

[2]  Bhaskar Mehta.  Learning from What Others Know: Privacy Preserving Cross System Personalization , 2007, User Modeling.

[3]  Fausto Giunchiglia,et al.  OpenKnowledge Deliverable 3.1.: Dynamic Ontology Matching: a Survey , 2006 .

[4]  L. R. Dice.  Measures of the Amount of Ecologic Association Between Species , 1945 .

[5]  Moffat Mathews,et al.  Semantic Integration of Adaptive Educational Systems , 2009, Advances in Ubiquitous User Modelling.

[6]  Judy Kay,et al.  Managing private user models and shared personas , 2003 .

[7]  Tsvi Kuflik,et al.  Addressing Challenges of Ubiquitous User Modeling: Between Mediation and Semantic Integration , 2009, Advances in Ubiquitous User Modelling.

[8]  Zohra Bellahsene,et al.  On Evaluating Schema Matching and Mapping , 2011, Schema Matching and Mapping.

[9]  Dominik Heckmann,et al.  Ubiquitous user modeling , 2006 .

[10]  Michael Uschold,et al.  Ontologies and semantics for seamless connectivity , 2004, SGMD.

[11]  J. Euzenat,et al.  Ontology Matching , 2007, Springer Berlin Heidelberg.

[12]  Natalya F. Noy,et al.  Semantic integration: a survey of ontology-based approaches , 2004, SGMD.

[13]  Jérôme Euzenat,et al.  A Survey of Schema-Based Matching Approaches , 2005, J. Data Semant..

[14]  Julita Vassileva,et al.  Distributed user modelling for universal information access , 2001, HCI.

[15]  Federica Cena,et al.  A Model for Feature-Based User Model Interoperability on the Web , 2009, Advances in Ubiquitous User Modelling.

[16]  María de Lourdes Martínez-Villaseñor,et al.  Process of Concept Alignment for Interoperability between Heterogeneous Sources , 2012, MICAI.

[17]  Andrea Calì,et al.  A Description Logic Based Approach for Matching User Profiles , 2004, Description Logics.

[18]  Erhard Rahm,et al.  A survey of approaches to automatic schema matching , 2001, The VLDB Journal.

[19]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[20]  Isabel F. Cruz,et al.  The role of ontologies in data integration , 2005 .

[21]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..

[22]  Eduardo Guzmán,et al.  An Educational Component Based Framework for Web ITS Development , 2003, ICWE.

[23]  Erhard Rahm,et al.  Generic schema matching, ten years later , 2011, Proc. VLDB Endow..

[24]  Martha Palmer,et al.  Verb Semantics and Lexical Selection , 1994, ACL.

[25]  John Fox,et al.  The Knowledge Engineering Review , 1984, The Knowledge Engineering Review.

[26]  Lora Aroyo,et al.  RSS-Based Interoperability for User Adaptive Systems , 2008, AH.

[27]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[28]  Jérôme Euzenat,et al.  Ontology Matching: State of the Art and Future Challenges , 2013, IEEE Transactions on Knowledge and Data Engineering.

[29]  Gustavo González,et al.  A Multi-agent Smart User Model for Cross-domain Recommender Systems , 2005 .

[30]  Bhaskar Mehta,et al.  Ontologically-Enriched Unified User Modeling for Cross-System Personalization , 2005, User Modeling.

[31]  Jérôme Euzenat,et al.  Ten Challenges for Ontology Matching , 2008, OTM Conferences.

[32]  Ilknur Celik,et al.  Interoperability between AEH user models , 2006, APS '06.

[33]  Peter Dolog,et al.  A Framework for Browsing, Manipulating and Maintaining Interoperable Learner Profiles , 2005, User Modeling.

[34]  Alexander Maedche,et al.  Ontology-Based User Modeling for Knowledge Management Systems , 2003, User Modeling.

[35]  Rui José,et al.  Ambient Intelligence: Beyond the Inspiring Vision , 2010, J. Univers. Comput. Sci..

[36]  Vania Dimitrova,et al.  An Evidence-Based Approach to Handle Semantic Heterogeneity in Interoperable Distributed User Models , 2008, AH.

[37]  Pavel Shvaiko,et al.  A Classification of Schema-Based Matching Approaches , 2004 .

[38]  Yannis Kalfoglou,et al.  Ontology mapping: the state of the art , 2003, The Knowledge Engineering Review.

[39]  Federica Cena,et al.  User model interoperability: a survey , 2011, User Modeling and User-Adapted Interaction.

[40]  Alistair Miles,et al.  SKOS: Simple Knowledge Organisation for the Web , 2007 .

[41]  Julita Vassileva,et al.  Purpose-Based User Modelling in a Multi-agent Portfolio Management System , 2003, User Modeling.

[42]  María de Lourdes Martínez-Villaseñor,et al.  Towards an Ontology for Ubiquitous User Modeling Interoperability , 2012, KEOD.

[43]  María de Lourdes Martínez-Villaseñor,et al.  Towards a Ubiquitous User Model for Profile Sharing and Reuse , 2012, Sensors.

[44]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[45]  Francesca Carmagnola.  Handling Semantic Heterogeneity in Interoperable Distributed User Models , 2009, Advances in Ubiquitous User Modelling.

[46]  Heiner Stuckenschmidt,et al.  Ontology-Based Integration of Information - A Survey of Existing Approaches , 2001, OIS@IJCAI.

[47]  José Bravo,et al.  Ubiquitous Computing and Ambient Intelligence: New Challenges for Computing , 2006, J. Univers. Comput. Sci..

[48]  Kam Kees van der Sluijs,et al.  A generic component for exchanging user models between web-based systems , 2006 .

[49]  Marco Viviani,et al.  A Survey on User Modeling in Multi-application Environments , 2010, 2010 Third International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies and Services.