DocumentCode :
3190223
Title :
Indexing semi-structured documents for context-based information retrieval in a medical information system
Author :
Laforest, Frédérique ; Tchounikine, Anne
Author_Institution :
Lab. d´´Ingenierie des Syst. d´´Inf., Inst. Nat. des Sci. Appliquees, Villeurbanne, France
fYear :
1999
fDate :
1999
Firstpage :
593
Lastpage :
597
Abstract :
Most of the information retrieval models for documents are intended for SGML-like structured documents. In the context of medical informatics, the patient record document needs a looser structuration process as an a priori structure can hardly be defined. Thus we first propose an authoring tool that allows us to annotate embedded information, i.e. to give them a context, with qualifiers that are stored in a thesaurus rather than in SGML-like DTD. The retrieval process in the patient records collection takes into account the flexibility of the qualifying process while reformulating the queries
Keywords :
authoring systems; database indexing; information retrieval; medical information systems; page description languages; thesauri; SGML-like DTD; SGML-like structured documents; a priori structure; authoring tool; context based information retrieval; embedded information; information retrieval models; medical informatics; medical information system; patient record document; patient records collection; qualifiers; qualifying process; retrieval process; semi-structured document indexing; structuration process; Calculus; Diseases; Frequency; Indexing; Information retrieval; Medical diagnostic imaging; Medical information systems; Postal services; Text analysis; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 1999. Proceedings. Tenth International Workshop on
Conference_Location :
Florence
Print_ISBN :
0-7695-0281-4
Type :
conf
DOI :
10.1109/DEXA.1999.795252
Filename :
795252
Link To Document :
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