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In: R. van der Sand, R. Blunter & M. Bearish (Eds.) (1997): From Under specification to Interpretation. Working Papers of the Institute for Logic and Linguistics. Heidelberg: IBM Deutschland. 113-138.

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Semantic form is a way of representing information using structured data in order to enhance understanding and interpretation. Abductive reasoning is a form of logical inference that involves making educated guesses or hypotheses based on the available evidence.

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Filling out a semantic form involves providing structured data according to a predefined schema or ontology. Abductive reasoning involves analyzing available evidence, formulating hypotheses, and evaluating their likelihood. Specific methods and tools may be used for both processes.

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The purpose of semantic form is to enable the representation and organization of information in a structured manner, facilitating data analysis and interpretation. Abductive reasoning is used to generate plausible explanations or hypotheses based on available evidence.

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The specific information reported on a semantic form and abductive may depend on the specific application or use case. Generally, semantic forms aim to capture relevant attributes or properties of entities, while abductive reasoning involves considering various pieces of evidence related to a problem or observation.

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