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Modeling Citable Textual Analyses for the iHomer Multitext/i

机译:荷马多文本的Citable文本分析建模

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p class="p1"The emHomer Multitext/em project (span style="font-variant: small-caps;"hmt/span) is documenting the language and structure of Greek epic poetry, and the ancient tradition of commentary on it. The project’s primary data consist of editions of Greek texts; automated and manually created readings analyze the texts across historical and thematic axes. This paper describes an abstract model we follow in documenting an open-ended body of diverse analyses. The analyses apply to passages of texts at different levels of granularity; they may refer to overlapping or mutually exclusive passages of text; and they may apply to non-contiguous passages of text. All are recorded in with explicit, concise, machine-actionable canonical citation of both text passage and analysis in a scheme aligning all analyses to a common notional text. We cite our texts with urns that capture a passage’s position in an emOrdered Hierarchy of Citation Objects/em (span style="font-variant: small-caps;"ohco2/span). Analyses are modeled as data-objects with five properties./pp class="p3"We create collections of ‘analytical objects’, each uniquely identified by its own span style="font-variant: small-caps;"urn /spanand each aligned to a particular edition of a text by a span style="font-variant: small-caps;"urn /spancitation. We can view these analytical objects as an extension of the edition’s citation hierarchy; since they are explicitly ordered by their alignment with the edition they analyze, each collection of analyses meets satisfies the (span style="font-variant: small-caps;"ohco2/span) model of a citable text. We call these texts that are derived from and aligned to an edition ‘analytical exemplars’./p
机译:class =“ p1”> 荷马多文本项目( style =“ font-variant:small-caps;”> hmt )正在记录希腊史诗的语言和结构诗歌,以及对其进行评论的古老传统。该项目的主要数据包括希腊文字版本;自动和手动创建的读数可跨历史和主题轴分析文本。本文描述了一个抽象模型,在记录各种分析的开放式主体时,我们遵循该模型。这些分析适用于不同粒度级别的文本段落;它们可能是指重叠或互斥的文本段落;并且它们可能适用于非连续的文本段落。所有记录都以明确,简明,机器可操作的规范引用方式记录下来,以引用和分析两种形式,使所有分析与一个普通的概念性文本保持一致。我们用with引用我们的文本,这些ur在有序引用对象层次结构(em>)中捕获段落的位置( style =“ font-variant:small-caps;”> ohco2 )。分析被建模为具有五个属性的数据对象。 class =“ p3”>我们创建了“分析对象”的集合,每个集合都由自己的 style =“ font-variant:small-caps ;“> urn 并通过 style =” font-variant:small-caps;“> urn 引文将它们与文本的特定版本对齐。我们可以将这些分析对象视为版本引用层次的扩展;由于根据与所分析的版本的一致性来对它们进行明确排序,因此每个分析集合均满足引文的( style =“ font-variant:small-caps;”> ohco2 )模型。我们称这些文本为“分析范例”。

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