Sharing e-Health Information through Ontological Layering

e-Health information, including patient clinical and demographic data, is very often dispersed across various environments, which either generate them or retrieve them from different sources. Healthcare professionals often need related e-health information in order to obtain a more comprehensive picture of a patient's health status. There are many obstacles to retrieving information and data from heterogeneous sources. In this paper we show that our ontological layering helps in (a) classifying requests imposed by healthcare professionals when retrieving e-health information from heterogeneous sources and (b) resolving semantic heterogeneities across repositories and composing an adequate answer to issued requests. We use a layered software architectural model based on Generic ontology for Context-aware, Interoperable and Data sharing (Go- CID) software applications, applicable to e-Health environments. Ontological layering and reasoning have been demonstrated with semantic web technologies.

[1]  J. Powell,et al.  Stakeholder Perspectives on the Development of a Virtual Clinic for Diabetes Care: Qualitative Study , 2007, Journal of medical Internet research.

[2]  Fabio Vitali,et al.  MetaLex XML and the Legal Knowledge Interchange Format , 2008, Computable Models of the Law, Languages, Dialogues, Games, Ontologies.

[3]  Peter F. Patel-Schneider,et al.  OWL 2 Web Ontology Language Primer (Second Edition) , 2012 .

[4]  Arshad Saleem Semantic Web Vision: survey of ontology mapping systems and evaluation of progress , 2006 .

[5]  Amit P. Sheth,et al.  Changing Focus on Interoperability in Information Systems:From System, Syntax, Structure to Semantics , 1999 .

[6]  Dennis McLeod,et al.  Ontology-Driven Semantic Matches between Database Schemas , 2006, 22nd International Conference on Data Engineering Workshops (ICDEW'06).

[7]  Peter F. Patel-Schneider,et al.  OWL 2 Web Ontology Language , 2009 .

[8]  Radmila Juric,et al.  Ontological Support for Managing Non-Functional Requirements In Pervasive Healthcare , 2009, 2009 42nd Hawaii International Conference on System Sciences.

[9]  Constantin F. Aliferis,et al.  Studies in Health Technology and Informatics , 2007 .

[10]  Reda Alhajj,et al.  Semantic Interoperability Between Relational Database Systems , 2007, 11th International Database Engineering and Applications Symposium (IDEAS 2007).

[11]  Peishen Qi,et al.  Integrating Databases into the Semantic Web through an Ontology-Based Framework , 2006, 22nd International Conference on Data Engineering Workshops (ICDEW'06).

[12]  I. Strizh,et al.  Ontologies for data and knowledge sharing in biology: plant ROS signaling as a case study. , 2006, BioEssays : news and reviews in molecular, cellular and developmental biology.

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

[14]  Elizabeth Chang,et al.  Software engineering ontology for software engineering knowledge management in multi-site software development environment , 2007 .

[15]  Lina Lubyte Reusing relational sources for semantic information access , 2007, PIKM '07.

[16]  Joyce A. Mitchell,et al.  The BioMediator System as a Data Integration Tool to Answer Diverse Biologic Queries , 2004, MedInfo.

[17]  Radmila Juric,et al.  Sharing information and data across heterogeneous e-health systems. , 2009, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[18]  Paul Clements,et al.  Software architecture in practice , 1999, SEI series in software engineering.

[19]  David E. Millard,et al.  Automatic Ontology-Based Knowledge Extraction from Web Documents , 2003, IEEE Intell. Syst..

[20]  Radmila Juric,et al.  Contextualising components when addressing database interoperability , 2004, IASTED Conf. on Software Engineering and Applications.

[21]  Sudha Ram,et al.  Semantic conflict resolution ontology (SCROL): an ontology for detecting and resolving data and schema-level semantic conflicts , 2004, IEEE Transactions on Knowledge and Data Engineering.

[22]  Radmila Juric,et al.  A software architecture to support interoperability in multiple database systems , 2004, IASTED Conf. on Software Engineering.

[23]  David K Ahern,et al.  Challenges and opportunities of eHealth research. , 2007, American journal of preventive medicine.

[24]  Tharam S. Dillon,et al.  Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm , 2022 .

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

[26]  Denise Silber,et al.  The case for eHealth. , 2004, Studies in health technology and informatics.

[27]  Hyoil Han,et al.  A survey on ontology mapping , 2006, SGMD.

[28]  Jeff Z. Pan,et al.  Resource Description Framework , 2020, Definitions.

[29]  Radmila Juric,et al.  Go-CID: generic ontology for context-aware, interoperable and data sharing applications , 2007, ICSE 2007.

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

[31]  Rick Kazman,et al.  Evaluating Software Architectures: Methods and Case Studies , 2001 .

[32]  Tharam S. Dillon,et al.  Protein ontology: vocabulary for protein data , 2005, Third International Conference on Information Technology and Applications (ICITA'05).