{"title":"在医疗信息系统中为基于上下文的信息检索索引半结构化文档","authors":"F. Laforest, A. Tchounikine","doi":"10.1109/DEXA.1999.795252","DOIUrl":null,"url":null,"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.","PeriodicalId":276867,"journal":{"name":"Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Indexing semi-structured documents for context-based information retrieval in a medical information system\",\"authors\":\"F. Laforest, A. Tchounikine\",\"doi\":\"10.1109/DEXA.1999.795252\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":276867,\"journal\":{\"name\":\"Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEXA.1999.795252\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.1999.795252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Indexing semi-structured documents for context-based information retrieval in a medical information system
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.