loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Gilles Hubert 1 ; Josiane Mothe 2 and Kurt Englmeier 3

Affiliations: 1 IRIT/SIG-EVI, Université Paul Sabatier, France ; 2 IRIT/SIG-EVI, Université Paul Sabatier; ERT34, Institut Universitaire de Formation des Maîtres, France ; 3 LemonLabs GmbH, Germany

ISBN: 978-972-8865-77-1

ISSN: 2184-3252

Keyword(s): Information Retrieval, XML, configurable engine, retrieval scenarios.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Digital Libraries ; Internet Technology ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Symbolic Systems ; Web Information Systems and Technologies ; Web Interfaces and Applications ; XML and Data Management

Abstract: XML usage is growing to describe documents and consequently systems to search in XML collections are necessary. Various proposals of systems intend to handle XML documents. This paper describes an XML approach based on direct contribution of the components constituting an information need. The search engine is largely configurable in order to be adapted to different context of search. Beyond being globally adapted to a collection of documents an important objective is to define a search engine that can be adapted to different retrieval scenarios and to identify how to adapt it. This paper presents first experiments on INEX testbeds that show how the engine can be adapted to better respond to different retrieval scenarios.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.237.178.91

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Hubert, G.; Mothe, J. and Englmeier, K. (2007). TUNING SEARCH ENGINE TO FIT XML RETRIEVAL SCENARIO.In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-972-8865-77-1, pages 228-233. DOI: 10.5220/0001278802280233

@conference{webist07,
author={Gilles Hubert. and Josiane Mothe. and Kurt Englmeier.},
title={TUNING SEARCH ENGINE TO FIT XML RETRIEVAL SCENARIO},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2007},
pages={228-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001278802280233},
isbn={978-972-8865-77-1},
}

TY - CONF

JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - TUNING SEARCH ENGINE TO FIT XML RETRIEVAL SCENARIO
SN - 978-972-8865-77-1
AU - Hubert, G.
AU - Mothe, J.
AU - Englmeier, K.
PY - 2007
SP - 228
EP - 233
DO - 10.5220/0001278802280233

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.