. "3" . "2"^^ . "156601" . . . "P(7E09078), Z(MSM6840770038)" . . "Conventional information systems are built on top of a relational database that requires its data model to be stable. This lack of adaptability is very restrictive for systems manipulating evolving or heterogenous knowledge. The authors of this paper faced this issue when developing an information system of structural failures. As knowledge on structural failures is very heterogeneous and dynamic, it is practically impossible to define a stable database schema ahead. The widely accepted alternative to relational databases are semantic web ontologies. However, software developers miss adequate frameworks and design methodologies in this area. This paper tries to fill the gap by proposing a methodology for designing ontology-backed software applications that makes the ontology possible to evolve while being exploited by one or more applications at the same time. A reference Java implementation and the proof-of-concept application is introduced at the end of the paper." . . . . "RIV/68407700:21230/12:00181747" . "10.1109/TSMCC.2011.2163934" . "11"^^ . . . "information system; ontology; OWL"@en . . "Ontology-Driven Information System Design" . "21230" . . "1094-6977" . . . . "http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6011704" . . "[928183A7D676]" . "RIV/68407700:21230/12:00181747!RIV13-MSM-21230___" . "Kouba, Zden\u011Bk" . "Ontology-Driven Information System Design"@en . "000303069100005" . "Ontology-Driven Information System Design" . . . "IEEE Transactions on Systems, Man, and Cybernetics: Part C" . "Conventional information systems are built on top of a relational database that requires its data model to be stable. This lack of adaptability is very restrictive for systems manipulating evolving or heterogenous knowledge. The authors of this paper faced this issue when developing an information system of structural failures. As knowledge on structural failures is very heterogeneous and dynamic, it is practically impossible to define a stable database schema ahead. The widely accepted alternative to relational databases are semantic web ontologies. However, software developers miss adequate frameworks and design methodologies in this area. This paper tries to fill the gap by proposing a methodology for designing ontology-backed software applications that makes the ontology possible to evolve while being exploited by one or more applications at the same time. A reference Java implementation and the proof-of-concept application is introduced at the end of the paper."@en . . "Ontology-Driven Information System Design"@en . "US - Spojen\u00E9 st\u00E1ty americk\u00E9" . "42" . "K\u0159emen, Petr" . "2"^^ . .