A Framework for Semantic Interoperability over the Cloud

Semantic Interoperability is one of the most important open challenges in the Knowledge Management field. In this work, we propose a framework for making easier information exchanging operations among heterogeneous information sources, over the Cloud. Exploiting the Semantic Web technologies, the framework has the objective of allowing semantic interoperability among distributed software agents preserving not only semantics of transmitted messages, but also the subjectivity of agent's world vision in the communication process. The proposed system, in fact, will help users in the digital documents exchanging activities by extracting the related relevant information and coding their informative contents in a shape capable of preserving the original semantics, also in the case of communications agents using different or incompatible vocabularies. The framework is a an evolution of semantic interoperable methodologies towards cloud computer technologies, thus guaranteeing several advantages in terms of usability, scalability and fault tolerance. In particular, we implemented a prototype that provides interoperability functionalities in the E-Health domain, managing information coming from heterogeneous sources.

[1]  Angelo Chianese,et al.  A Novel Approach for Semantic Interoperability in the Web Based on the Semantic Triangle Communication Model , 2011, Int. J. Softw. Eng. Knowl. Eng..

[2]  Richard McClatchey,et al.  The Requirements for Ontologies in Medical Data Integration: A Case Study , 2007, 11th International Database Engineering and Applications Symposium (IDEAS 2007).

[3]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[4]  Flora Amato,et al.  Semantic Management of Multimedia Documents for E-Government Activity , 2009, 2009 International Conference on Complex, Intelligent and Software Intensive Systems.

[5]  Michael A. Cusumano,et al.  Cloud computing and SaaS as new computing platforms , 2010, CACM.

[6]  Angelo Chianese,et al.  A multimedia recommender integrating object features and user behavior , 2010, Multimedia Tools and Applications.

[7]  Flora Amato,et al.  CloSe: A Cloud SaaS for Semantic Document Composition , 2012, 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems.

[8]  Sam Heard,et al.  Archetype Definitions and Principles , 2003 .

[9]  Rocco Aversa,et al.  Enabling Model Driven Engineering of Cloud Services by using mOSAIC Ontology , 2012, Scalable Comput. Pract. Exp..

[10]  Flora Amato,et al.  Building RDF Ontologies from Semi-Structured Legal Documents , 2008, 2008 International Conference on Complex, Intelligent and Software Intensive Systems.

[11]  Valeria Vittorini,et al.  Solution Workflows for Model-Based Analysis of Complex Systems , 2012, IEEE Transactions on Automation Science and Engineering.

[12]  C. K. Ogden,et al.  The Meaning of Meaning , 1923 .

[13]  Angelo Chianese,et al.  Context-sensitive queries for image retrieval in digital libraries , 2008, Journal of Intelligent Information Systems.

[14]  Rocco Aversa,et al.  Describing Cloud Use Case in MetaMORP(h)OSY , 2012, 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems.

[15]  Salvatore Venticinque,et al.  OVerFA: a collaborative framework for the semantic annotation of documents and websites , 2009, Int. J. Web Grid Serv..

[16]  Amnon Shabo,et al.  Model Formulation: HL7 Clinical Document Architecture, Release 2 , 2006, J. Am. Medical Informatics Assoc..

[17]  Flora Amato,et al.  Using NLP and Ontologies for Notary Document Management Systems , 2008, 2008 19th International Workshop on Database and Expert Systems Applications.