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Titlebook: On the Move to Meaningful Internet Systems: OTM 2009; Confederated Interna Robert Meersman,Tharam Dillon,Pilar Herrero Conference proceedin

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樓主: 生長變吼叫
31#
發(fā)表于 2025-3-26 21:31:46 | 只看該作者
32#
發(fā)表于 2025-3-27 02:18:05 | 只看該作者
Model-Driven Configuration of SELinux Policiesthe overall security of a system negatively. We think that it is important to define security requirements on a non-technical level while taking the application domain into respect in order to have a clear and separated view on security configuration (i.e. unblurred by technical details). On the oth
33#
發(fā)表于 2025-3-27 05:27:32 | 只看該作者
34#
發(fā)表于 2025-3-27 13:23:51 | 只看該作者
Verification of CERT Secure Coding Rules: Case Studiesng is settling in the arena of software verification. It is effective in verifying high-level security properties related to software functionalities. In this paper, we present the experiments conducted with our security verification framework based on model-checking. We embedded a wide range of the
35#
發(fā)表于 2025-3-27 17:25:15 | 只看該作者
ODBASE 2009 – PC Co-chairs’ MessagePortugal, November 2-4, 2009..The ODBASE conferences provide a forum for the sharing of original research results and practical development experiences in the areas of ontologies, databases, and applications of data semantics. This year we announced a special theme of “Semantics in Complex Event Pro
36#
發(fā)表于 2025-3-27 21:48:23 | 只看該作者
37#
發(fā)表于 2025-3-28 01:23:46 | 只看該作者
38#
發(fā)表于 2025-3-28 04:01:05 | 只看該作者
39#
發(fā)表于 2025-3-28 09:54:35 | 只看該作者
Achieving Maturity: The State of Practice in Ontology Engineering in 2009at analyzed 148? OE projects. The survey focused on process-related issues and looked into the impact of research achievements on real-world OE projects, the complexity of particular ontology development tasks, the level of tool support, and the usage scenarios for ontologies. The main contributions
40#
發(fā)表于 2025-3-28 12:02:29 | 只看該作者
Ontology-Driven Provenance Management in eScience: An Application in Parasite Research to verify experiment process, validate data quality and associate trust values with scientific results. Current industrial scale eScience projects require an end-to-end provenance management infrastructure. This infrastructure needs to be underpinned by formal semantics to enable analysis of large
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