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Towards Ontology Matching Suitable for Information Integration in Time- Critical Situations

机译：本体匹配适用于时间紧迫情境下的信息集成

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Information handling is important when conducting operations according to NATO Network Enabled Capability. Ontologies - explicit formal models - are being put forward as a promising component in solving challenges in this area. The predominant approach utilising ontologies is to base solutions on several medium sized or small ontologies. However, when solving information handling challenges utilising several ontologies, there will be a need to link them - to perform ontology matching. Ontology matching is typically being conducted in a semi-automated manner where either (a) a tool presents a list of possible matches for a human to pick the appropriate ones, or (b) an automatic decision is being made based on a score threshold set by a human. In a time-critical situation, like for example a decision maker needing to utilise an appearing information source, such semi-automatic approaches are either not fast enough (case (a) above), or does not guarantee an ontology match of sufficient quality (case (b) above). In this paper, ideas for an approach utilising deductive ontology matching are presented. Such an approach can offer ontology matching suitable for time-critical situations, fulfilling the timeliness and quality requirements outlined above.

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