Sound ranking algorithms for XML search in PF/Tijah

Authors Djoerd Hiemstra, Stefan Klinger, Henning Rode, Jan Flokstra, Peter Apers



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Author Details

Djoerd Hiemstra
Stefan Klinger
Henning Rode
Jan Flokstra
Peter Apers

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Djoerd Hiemstra, Stefan Klinger, Henning Rode, Jan Flokstra, and Peter Apers. Sound ranking algorithms for XML search in PF/Tijah. In Ranked XML Querying. Dagstuhl Seminar Proceedings, Volume 8111, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008) https://doi.org/10.4230/DagSemProc.08111.4

Abstract

We argue that ranking algorithms for XML should reflect the actual 
combined content and structure constraints of queries, while at the 
same time producing equal rankings for queries that are semantically 
equal. Ranking algorithms that produce different rankings for queries 
that are semantically equal are easily detected by tests on large 
databases: We call such algorithms {em not sound}. We report the 
behaviour of different approaches to ranking content-and-structure 
que-ries on pairs of queries for which we expect equal ranking results 
from the query semantics. We show that most of these approaches are
not sound. Of the remaining approaches, only 3 adhere to the W3C XQuery
Full-Text standard.

Subject Classification

Keywords
  • XML Information Retrieval
  • XQuery Full-Text

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