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Semi quantitative classification of relative importance of concepts in text, ranks concepts according to their importance from ontology and user preferences

机译:对文本中概念的相对重要性进行半定量分类,根据它们在本体和用户偏好方面的重要性对概念进行排名

摘要

Information is characterized by the concepts described in the text and these concepts are ranked according to their importance for characterizing the information in the text in which they are found, using a method comprising the following steps: (1) determining the intrinsic importance of a concept from an ontology and according to a user preference; (2) determining the statistical, semantic, position-determined and typographical-determined importance of the concepts in the text; (3) aggregating these importance values to provide a preliminary measure of the importance of all the concepts; (4) determining the importance of all concepts from the ontology according to the structural relations in the ontology, on the basis of the results of the previous step; (5) aggregating the importance values from the previous two steps to provide another preliminary measure of the importance of all the concepts; (6) determining the statistical relation-determined and semantic relation-determined importance of the concepts in the text; (7) aggregating the importance values determined in the two previous steps to provide another preliminary measure of the importance of all the concepts; and (8) repeating the previous four steps until there is no more significant difference in the result of the previous step, providing a final measure of the importance of all the concepts.
机译:信息以文本中描述的概念为特征,并且使用包括以下步骤的方法,根据这些概念对在其中找到信息的信息进行表征的重要性对这些概念进行排名:(1)确定概念的内在重要性来自本体并根据用户偏好; (2)确定文本中概念的统计,语义,位置确定和印刷确定的重要性; (3)汇总这些重要性值,以初步衡量所有概念的重要性; (4)根据上一步的结果,根据本体中的结构关系确定本体中所有概念的重要性; (5)汇总前两个步骤的重要性值,以提供对所有概念的重要性的另一种初步度量; (6)确定文本中概念的统计关系确定和语义关系确定的重要性; (7)汇总在前两个步骤中确定的重要性值,以提供对所有概念的重要性的另一种初步度量; (8)重复前四个步骤,直到上一步的结果不再有显着差异为止,从而最终确定了所有概念的重要性。

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