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タイトル: Schemaless Semistructured Data Revisited
著者: Tajima, Keishi
著者名の別形: 田島, 敬史
キーワード: semistructured
schemaless
self-describing
metadata
attribute name
key value
edge label
graph
table
multidimensional table
発行日: 2013
出版者: Springer Berlin Heidelberg
誌名: In Search of Elegance in the Theory and Practice of Computation Lecture Notes in Computer Science
巻: 8000
開始ページ: 466
終了ページ: 482
抄録: This paper reviews the design of data models for semistructured data, particularly focusing on their schemaless nature. Uniform treatment of schema information and data, in other words, uniform treatment of metadata and data, is important in the design of such data models. This paper discusses what data and metadata are, and argues that attribute names, which are usually regarded as metadata, and key values, which are usually regarded as data, play similar roles when we organize large data sets. The paper revises one of the standard semistructured data models in accordance with that argument, and eventually reinvents the deterministic semistructured data model proposed by Peter Buneman and his colleagues. The contribution of this paper is an additional rationale of the design of that data model, a rationale based on the similarity between attribute names and key values.
記述: <Series Title> Lecture Notes in Computer Science
著作権等: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-41660-6_25
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/196661
出現コレクション:学術雑誌掲載論文等

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