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Identifying result subdocuments of XML search conditions

Authors: Hiroko Kinutani; Masatoshi Yoshikawa; Shunsuke Uemura;

Identifying result subdocuments of XML search conditions

Abstract

XML is becoming widely used as a standard data format on the Web. Unlike SGML, XML documents do not require having their schemas. Since design of schemas of XML documents is not an easy task, a significant number of XML documents will be simply well-formed. We focus on miscellaneous well-formed XML documents with no common schemas. We articulate issues related to query processing of those well-formed XML documents using standard data formats or vocabularies as namespaces. We believe that an end-user's typical queries against XML databases will be very terse as found in current HTML searching engines. However, unlike HTML search engines, XML database systems should return appropriate XML subdocuments as a granule of query results. The authors formulate a class of queries, which is a counterpart of a simple class of queries in current HTML search engines. Then, we define a new function which serves as a basis for identifying appropriate XML subdocuments as results of such queries and we introduce indices in order to process such queries efficiently.

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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!
1
Average
Average
Average
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