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Ymittos Athens, Greece

Loutas N.,National University of Ireland | Loutas N.,Center for Research and Technology Hellas | Loutas N.,University of Macedonia | Peristeras V.,National University of Ireland | And 8 more authors.
Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010

This paper focuses on the emerging problem of semantic interoperability between heterogeneous cooperating Cloud platforms. We try to pave the way towards a Reference Architecture for Semantically Interoperable Clouds (RASIC). To this end, three fundamental and complementary computing paradigms, namely Cloud computing, Service Oriented Architectures (SOA) and lightweight semantics are used as the main building blocks. The open, generic Reference Architecture for Semantically Interoperable Clouds introduces a scalable, reusable and transferable approach for facilitating the design, deployment and execution of resource intensive SOA services on top of semantically interlinked Clouds. In order to support the development of semantically interoperable Cloud systems based on RASIC, the model of a common Cloud API is also specified. © 2010 IEEE. Source

Alexandrou D.A.,UBITECH Research | Skitsas I.E.,UBITECH Research | Mentzas G.N.,National Technical University of Athens
IEEE Transactions on Information Technology in Biomedicine

One of the main challenges to be confronted by modern health care, so as to increase treatment quality, is the personalization of treatment. The treatment personalization requires the continuous reconfiguration and adaptation of the selected treatment schemes according to the "current" clinical status of each patient and "current" circumstances inside a health care organization that change rapidly, as well as the updated medical knowledge. In this paper, we present an innovative software environment that provides an integrated IT solution concerning the adaptation of health care processes (clinical pathways) during execution time. The software comprises a health care process execution engine assisted by a semantic infrastructure for reconfiguring the clinical pathways. During the execution of clinical pathways, the system reasons over the rules and reconfigures the next steps of the treatment. A graphical designer interface is implemented for the definition of the rule-set for the clinical pathways adaptation in a user-friendly way. © 2006 IEEE. Source

Sahay R.,Digital Enterprise Research Institute DERI | Ntalaperas D.,UBITECH Research | Kamateri E.,Center for Research and Technology Hellas | Hasapis P.,INTRASOFT | And 13 more authors.
Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

A set of well-integrated clinical terminologies is at the core of delivering an efficient clinical trial system. The design and outcomes of a clinical trial can be improved significantly through an unambiguous and consistent set of clinical terminologies used in a participating clinical institute. However, due to lack of generalised legal and technical standards, heterogeneity exists between prominent clinical terminologies as well as within and between clinical systems at several levels, e.g., data, schema, and medical codes. This article specifically addresses the problem of integrating local or proprietary clinical terminologies with the globally defined universal concepts or terminologies. To deal with the problem of ambiguous, inconsistent, and overlapping clinical terminologies, domain and knowledge representation specialists have been repeatedly advocated the use of formal ontologies. We address two key challenges in developing an ontology-based clinical terminology (1) an ontology building methodology for clinical terminologies that are separated in global and local layers; and (2) aligning global and local clinical terminologies. We present Semantic Electronic Health Record (SEHR) ontology that covers multiple sub-domains of Healthcare and Life Sciences (HCLS) through specialisation of the upper-level Basic Formal Ontology (BFO). One of the main features of SEHR is layering and adaptation of local clinical terminologies with the upper-level BFO. Our empirical evaluation shows an agreement of clinical experts confirming SEHR's usability in clinical trials. © 2013 IEEE. Source

Gouvas P.,UBITECH Research | Bouras T.,UBITECH Research | Zafeiropoulos A.,A+ Network | Liakopoulos A.,A+ Network
2011 18th International Conference on Telecommunications, ICT 2011

Future networks are becoming larger in scale, more dynamic and heterogeneous, imposing new requirements to the design and provision of advanced services. In order to cope with these requirements, new approaches have to be proposed that are able to handle the changes in the network topology in an autonomic manner and relieve application developers from dealing with network topology volatility. In this paper, an approach for efficiently designing services is proposed, based on an existing generic framework that facilitates the design and development of autonomic and decentralized services in ad-hoc networks. The design of the services is realized independently from the underlying physical network while specific functions are provided to application developers for deploying useful applications. Through a set of emulations over a reference implementation, it is demonstrated that services may be efficiently and reliably delivered over a dynamic network. © 2011 IEEE. Source

Hasnain A.,Insight Centre for Data Analytics | Kamdar M.R.,Insight Centre for Data Analytics | Hasapis P.,UBITECH Research | Zeginis D.,Center for Research and Technology Hellas | And 8 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

The increase in the volume and heterogeneity of biomedical data sources has motivated researchers to embrace Linked Data (LD) technologies to solve the ensuing integration challenges and enhance information discovery. As an integral part of the EU GRANATUM project, a Linked Biomedical Dataspace (LBDS) was developed to semantically interlink data from multiple sources and augment the design of in silico experiments for cancer chemoprevention drug discovery. The different components of the LBDS facilitate both the bioinformaticians and the biomedical researchers to publish, link, query and visually explore the heterogeneous datasets. We have extensively evaluated the usability of the entire platform. In this paper, we showcase three different workflows depicting real-world scenarios on the use of LBDS by the domain users to intuitively retrieve meaningful information from the integrated sources. We report the important lessons that we learned through the challenges encountered and our accumulated experience during the collaborative processes which would make it easier for LD practitioners to create such dataspaces in other domains. We also provide a concise set of generic recommendations to develop LD platforms useful for drug discovery. © Springer International Publishing Switzerland 2014. Source

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