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Erbas C.,ASELSAN Elektronik Sanayi Ve Ticaret A.S. | Tuncer Cetin F.,ASELSAN Elektronik Sanayi Ve Ticaret A.S. | Yilmaz B.,ASELSAN Elektronik Sanayi Ve Ticaret A.S. | Akagunduz E.,ASELSAN Elektronik Sanayi Ve Ticaret A.S. | And 2 more authors.
Communications in Computer and Information Science | Year: 2012

This study presents an open and interoperable maritime surveillance framework with multimodal sensor networks and an automated decision-making. The intention is to improve sea-border control, plugging the gaps in the maritime security with interoperability solutions and have wide-area situational awareness, thus particular reducing the number of illegal immigrants crossing sea borders in small boats, with a cost-effective approach. In this paper initial results are presented. This research is a part of a European project supported by ITEA2, Eureka Cluster Programme (RECONSURVE Project, no: ITEA2 09036). © 2012 Springer-Verlag. Source

Hussain S.,French Institute of Health and Medical Research | Sun H.,Advanced Clinical Applications Research Group | Sinaci A.,Development and Consultancy Ltd. | Erturkmen G.B.L.,Development and Consultancy Ltd. | And 6 more authors.
Studies in Health Technology and Informatics | Year: 2014

Use of medical terminologies and mappings across them are considered to be crucial pre-requisites for achieving interoperable eHealth applications. Built upon the outcomes of several research projects, we introduce a framework for evaluating and utilizing terminology mappings that offers a platform for i) performing various mappings strategies, ii) representing terminology mappings together with their provenance information, and iii) enabling terminology reasoning for inferring both new and erroneous mappings. We present the results of the introduced framework from SALUS project where we evaluated the quality of both existing and inferred terminology mappings among standard terminologies. © 2014 European Federation for Medical Informatics and IOS Press. Source

Gencturk M.,Development and Consultancy Ltd. | Duro R.,Austrian Institute of Technology GmbH | Kabak Y.,Development and Consultancy Ltd. | Bozic B.,Austrian Institute of Technology GmbH | And 2 more authors.
eChallenges e-2015 Conference Proceedings | Year: 2015

Nowadays, many different Command and Control (C2) Systems and Sensor Systems take part in disaster management and maritime surveillance activities. In order to manage disasters effectively and achieve powerful surveillance, it is essential for C2 and Sensor Systems to cooperate and exchange timely available, reliable and intelligible information. Although globally accepted standards are used commonly in C2 and Sensor domains, there is no single specification of using these standards together for cooperation of disparate systems, which creates a crucial interoperability challenge. To address this challenge, profiling is a practical approach to achieve seamless interoperability among C2 and Sensor Systems. In this paper we describe how profiling approach can address the interoperability challenge among C2 and Sensor Systems, and present 13 identified profiles to be used by organizations with their C2 and Sensor Systems in disaster management and maritime surveillance activities. © 2015 IIMC. Source

Yuksel M.,Development and Consultancy Ltd. | Yuksel M.,Middle East Technical University | Dogac A.,Development and Consultancy Ltd.
IEEE Transactions on Information Technology in Biomedicine | Year: 2011

Medical devices are essential to the practice of modern healthcare services. Their benefits will increase if clinical software applications can seamlessly acquire the medical device data. The need to represent medical device observations in a format that can be consumable by clinical applications has already been recognized by the industry. Yet, the solutions proposed involve bilateral mappings from the ISO/IEEE 11073 Domain Information Model (DIM) to specific message or document standards. Considering that there are many different types of clinical applications such as the electronic health record and the personal health record systems, the clinical workflows, and the clinical decision support systems each conforming to different standard interfaces, detailing a mapping mechanism for every one of them introduces significant work and, thus, limits the potential health benefits of medical devices. In this paper, to facilitate the interoperability of clinical applications and the medical device data, we use the ISO/IEEE 11073 DIM to derive an HL7 v3 Refined Message Information Model (RMIM) of the medical device domain from the HL7 v3 Reference Information Mode (RIM). This makes it possible to trace the medical device data back to a standard common denominator, that is, HL7 v3 RIM from which all the other medical domains under HL7 v3 are derived. Hence, once the medical device data are obtained in the RMIM format, it can easily be transformed into HL7-based standard interfaces through XML transformations because these interfaces all have their building blocks from the same RIM. To demonstrate this, we provide the mappings from the developed RMIM to some of the widely used HL7 v3-based standard interfaces. © 2011 IEEE. Source

Laleci G.B.,Development and Consultancy Ltd. | Yuksel M.,Development and Consultancy Ltd. | Yuksel M.,Middle East Technical University | Dogac A.,Development and Consultancy Ltd.
IEEE Journal of Biomedical and Health Informatics | Year: 2013

Improving the efficiency with which clinical research studies are conducted can lead to faster medication innovation and decreased time to market for new drugs. To increase this efficiency, the parties involved in a regulated clinical research study, namely, the sponsor, the clinical investigator and the regulatory body, each with their own software applications, need to exchange data seamlessly. However, currently, the clinical research and the clinical care domains are quite disconnected because each use different standards and terminology systems. In this paper, we describe an initial implementation of the Semantic Framework developed within the scope of SALUS project to achieve interoperability between the clinical research and the clinical care domains. In our Semantic Framework, the core ontology developed for semantic mediation is based on the shared conceptual model of both of these domains provided by the Biomedical Research Integrated Domain Group (BRIDG) initiative. The core ontology is then aligned with the extracted semantic models of the existing clinical care and research standards as well as with the ontological representations of the terminology systems to create a "model of meaning" for enabling semantic mediation. Although SALUS is a research and development effort rather than a product, the current SALUS knowledge base contains around 4.7 million triples representing BRIDG DAM, HL7 CDA model, Clinical Data Interchange Standards Consortium standards, and several terminology ontologies. In order to keep the reasoning process within acceptable limits without sacrificing the quality of mediation, we took an engineering approach by developing a number of heuristic mechanisms. The results indicate that it is possible to build a robust and scalable semantic framework with a solid theoretical foundation for achieving interoperability between the clinical research and clinical care domains. © 2012 IEEE. Source

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