Publikation: Sound Ranking algorithms for XML search
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2008
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TROTMAN, Andrew, ed. and others. Proceedings of the SIGIR 2008 Workshop on Focused Retrieval, held in Singapore, 24 July 2008. Dunedin: Dept. of Computer Science; University of Otago, 2008, pp. 15-21
Zusammenfassung
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 not sound. We report the behaviour of different approaches to ranking content-and-structure queries 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.
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004 Informatik
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SIGIR, 24. Juli 2008, Singapore
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HIEMSTRA, Djoerd, Stefan KLINGER, Henning RODE, Jan FLOKSTRA, Peter APERS, 2008. Sound Ranking algorithms for XML search. SIGIR. Singapore, 24. Juli 2008. In: TROTMAN, Andrew, ed. and others. Proceedings of the SIGIR 2008 Workshop on Focused Retrieval, held in Singapore, 24 July 2008. Dunedin: Dept. of Computer Science; University of Otago, 2008, pp. 15-21BibTex
@inproceedings{Hiemstra2008Sound-3033,
year={2008},
title={Sound Ranking algorithms for XML search},
publisher={Dept. of Computer Science; University of Otago},
address={Dunedin},
booktitle={Proceedings of the SIGIR 2008 Workshop on Focused Retrieval, held in Singapore, 24 July 2008},
pages={15--21},
editor={Trotman, Andrew},
author={Hiemstra, Djoerd and Klinger, Stefan and Rode, Henning and Flokstra, Jan and Apers, Peter}
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<dcterms:abstract xml:lang="eng">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 not sound. We report the behaviour of different approaches to ranking content-and-structure queries 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.</dcterms:abstract>
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