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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb001...
Part of book or chapter of book . 1996 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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Amalgamating SGML documents and databases

Authors: Masatoshi Yoshikawa; Osamu Ichikawa; Shunsuke Uemura;

Amalgamating SGML documents and databases

Abstract

We propose a uniform and flexible mechanism to make reference links from SGML documents to database objects. In addition to typical document logical structures such as sections and paragraphs, our mechanism allows arbitrary character strings in documents as source of these links. By using this mechanism, SGML attributes and their values of marked-up words can be transparently stored as database attributes, and we can establish hyperlinks between keywords in documents, which reflect relationships between the corresponding database objects. Also, we present a query language to retrieve SGML documents which are coupled with databases in this manner. The query language does not assume a particular database schema; instead, it utilizes DTD graphs, representing element structures of DTDs, as virtual schemas.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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