A universal model for XML information retrieval

Authors:
Maria Izabel M. Azevedo;Lucas Pantuza Amorim;Nívio Ziviani
Affiliations:
Department of Computer Science, State University of Montes Claros, Montes Claros, Brazil;Department of Computer Science, State University of Montes Claros, Montes Claros, Brazil;Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Brazil
Venue:
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Year:
2004

Citing 3
Cited 3

Computer Evaluation of Indexing and Text Processing

Journal of the ACM (JACM)
Data on the Web: from relations to semistructured data and XML

Data on the Web: from relations to semistructured data and XML
Modern Information Retrieval

Modern Information Retrieval

XML Document Classification Using Extended VSM

Focused Access to XML Documents
Managing structured queries in probabilistic XML retrieval systems

Information Processing and Management: an International Journal
Processing heterogeneous collections in XML information retrieval

INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval

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Abstract

This paper presents an approach for extending the vector space model (VSM) to perform XML retrieval. The model is extended to support important aspects of XML structural and semantic information such as element nesting level, matching tag names in the query and the collection and the relation between tag names and content of an element. Potential use of the model for heterogeneous as well as for the unstructured collection is also shown. We compared our model with the standard vector space model and obtained a gain for unstructured and structured queries. For unstructured collections the vector space model effectiveness is preserved.