Shallow Parsing of INEX Queries

Zargayouna, Haïfa; Rosas, Victor; Salotti, Sylvie

doi:10.1007/978-3-540-73888-6_28

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…This reduces the number of disk operations and accumulators needed during retrieval. As another approach close to the DataGuide, SemIndex [16] can be supported by the IR-CADG in this way.…”

Section: Busmentioning

confidence: 99%

Content and structure in indexing and ranking XML

Weigel¹,

Meuss

Schulz³

et al. 2004

Proceedings of the 7th International Workshop on the Web and Databases: Colocated With ACM SIGMOD/PODS 2004

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Rooted in electronic publishing, XML is now widely used for modelling and storing structured text documents. Especially in the WWW, retrieval of XML documents is most useful in combination with a relevance-based ranking of the query result. Index structures with ranking support are therefore needed for fast access to relevant parts of large document collections. This paper proposes a classification scheme for both XML ranking models and index structures, allowing to determine which index suits which ranking model. An analysis reveals that ranking parameters related to both the content and structure of the data are poorly supported by most known XML indices. The IR-CADG index, owing to its tight integration of content and structure, supports various XML ranking models in a very efficient retrieval process. Experiments show that it outperforms separate content/structure indexing by more than two orders of magnitude for large corpora of several hundred MB.

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“…This reduces the number of disk operations and accumulators needed during retrieval. As another approach close to the DataGuide, SemIndex [16] can be supported by the IR-CADG in this way.…”

Section: Busmentioning

confidence: 99%