@inbook{27c737316b47432384422d17565fa2c9,
title = "The Multi-model DBMS Architecture and XML Information Retrieval",
abstract = "Since long, computer science has distinguished between information retrieval and data retrieval, where information retrieval entails the problem of ranking textual documents on their content (with the goal to identify documents relevant for satisfying a user's information need) while data retrieval involves exact match, that is, checking a data collection for presence or absence of (precisely specified) items. But, now that XML has become a standard document model that allows structure and text content to be represented in a combined way, new generations of information retrieval systems are expected to handle semi-structured documents instead of plain text, with usage scenarios that require the combination of `conventional' ranking with other query constraints; based on the structure of text documents, on the information extracted from various media (or various media representations), or through additional information induced during the query process.",
keywords = "IR-63669, EWI-8102, DB-XMLDB: XML DATABASES, DB-XMLIR: XML INFORMATION RETRIEVAL, DB-PRJMOA: MAGNUM OBJECT ALGEBRA, METIS-216058",
author = "{de Vries}, A.P. and J.A. List and H.E. Blok",
year = "2003",
doi = "10.1007/978-3-540-45194-5_12",
language = "English",
isbn = "978-3-540-40768-3",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "179--191",
editor = "Henk Blanken and T. Grabs and H-J. Schek and R. Schenkel and G. Weikum",
booktitle = "Intelligent Search on XML Data: Applications, Languages, Models, Implementations, and Benchmarks",
address = "Netherlands",
}