Sotirios K. Goudos

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In this paper we define a formal model for a Public Administration service on the basis of the Web Service Mod-eling Ontology (WSMO). For this purpose we employ the generic public service object model of the Governance Enterprise Architecture (GEA) providing a PA domain specific semantics. We investigate conceptual mappings between PA entities and WSMO(More)
a r t i c l e i n f o This paper reviews the state of the art in the area of enhancing eGovernment interoperability by using common models and/or ontologies. This area has currently become a very active research field. We identify and present a significant number (N 40) of relevant efforts. These initiatives are grouped into categories based on the owner,(More)
In this paper we present a generic public administration (PA) domain ontology. We define a formal model for a public administration service on the basis of the Web service modeling ontology (WSMO). For this purpose we employ the generic public service object model of the governance enterprise architecture (GEA) providing PA domain specific semantics. We(More)
This work presents ongoing research in Pan-European Public Services (PEPS) and Pan-European E-Government Services (PEGS). This field of work is relatively new and has attracted the attention of the European Commission and of many research organizations and businesses as well. The semantic interoperability issues that may arise when a citizen of one Member(More)
—Wideband E-shaped patch antenna design is presented. The design technique is based on a self-adaptive Differential Evolution (DE) algorithm. In order to evaluate the algorithm's performance we compare results with three other common evolutionary algorithms regarding statistical results and convergence speed. The results show that the self-adaptive DE(More)
—Antenna design problems often require the optimization of several conflicting objectives such as gain maximization, sidelobe level (SLL) reduction and input impedance matching. Multi-objective Evolutionary Algorithms (MOEAs) are suitable optimization techniques for solving such problems. An efficient algorithm is Generalized Differential Evolution (GDE3),(More)