Q. What strategic document was issued by the Estonian Ministry of Economic Affairs in 2005 to address semantic interoperability in state information technology?

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Q. What is the main focus of the semantic interoperability architecture for Estonian state information systems proposed by Haav et al. (2009)?

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Q. Which ontology description language was chosen for the architecture's domain ontologies?

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Q. How are data services of state information systems currently described in the architecture?

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Q. What is the role of the Administration System for the State Information System (RIHA) in the architecture?

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Q. How is ontology creation and semantic enrichment supported in the semantic interoperability architecture?

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Q. How many domain ontologies were published in the RIHA repository in 2012?

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Q. What was one of the main reasons for the low number of published ontologies in RIHA in 2012?

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Q. Which four critical ontologies were given high priority in ontology development to capture semantics of data elements used by governmental data services?

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Q. How have the completed basic ontologies been utilized in further ontology development?

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Q. Why was a practical methodology for developing domain ontologies created by Haav?

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Q. What was the motivation behind the creation of guidelines for semantic enrichment of data services with domain ontologies by Küngas?

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Q. Why were modular ontologies a focus in the development of domain ontologies for state information systems?

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Q. What kind of classes do state information systems domain ontologies typically contain?

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Q. What is the typical Description Logics (DL) complexity of state information systems domain ontologies?

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Q. How many data entity attributes in state information systems in Estonia should be semantically enriched using ontology components?

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Q. What is the purpose of the Estonian Top Ontology?

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Q. How was the Estonian Top Ontology developed?

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Q. . What is one of the main challenges in developing domain ontologies and semantic data services?

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Q. Why are well-known ontology development methodologies often not suitable for domain experts in governmental agencies?

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