Searching XML Documents Using Relevance Propagation
| Autor: | Claude Chrisment, Karen Sauvagnat, Mohand Boughanem |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Document Structure Description
Computer science computer.internet_protocol Efficient XML Interchange XML Signature Query language computer.software_genre Ranking (information retrieval) Simple API for XML XML Schema Editor Streaming XML Relevance (information retrieval) XML schema Document retrieval XPath computer.programming_language Information retrieval XML validation computer.file_format XML framework XML database ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Vector space model computer XML XML Catalog |
| Zdroj: | String Processing and Information Retrieval ISBN: 9783540232100 SPIRE |
| DOI: | 10.1007/978-3-540-30213-1_35 |
| Popis: | The issue of information retrieval in XML documents was first investigated by the database community. Recently, the Information Retrieval (IR) community started to investigate the XML search issue. For this purpose, traditional information retrieval models were adapted to process XML documents and rank results by relevance. In this paper, we describe an IR approach to deal with queries composed of content and structure conditions. The XFIRM model we propose is designed to be as flexible as possible to process such queries. It is based on a complete query language, derived from Xpath and on a relevance values propagation method. The value of this proposed method is evaluated thanks to the INEX evaluation initiative. Results show a relative high precision of our system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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